Building on that foundation, a growing community of customers and partners are fueling rapid innovation by fine-tuning new models, deploying AI applications, and developing specialized agents that expand what’s possible across the diagnostic imaging ecosystem. This momentum is shaping the next era of radiology—one defined by continuous innovation, open collaboration, and powerful new ways to connect insights from image to action.

Listening first: How customer feedback shapes every innovation

For decades, PowerScribe has been built alongside radiologists, grounded in real-world workflows and shaped by continuous feedback and close clinical partnerships with healthcare organizations across the country. This approach, building with radiologists and grounding innovation in real-world use, is fundamental to how we design and evolve our solutions, especially when it comes to performant AI. Those insights directly shaped how we evolved to PowerScribe One, where preserving the workflows and integrations that teams rely on while introducing a more modern, cloud-enabled experience designed for what comes next.

We’ve invested in dedicated voice-of-customer programs and teams whose sole focus is to continuously gather feedback. From advisory boards, clinical partnerships, and real-world usage, we translate those insights directly into our roadmap. This isn’t a one-time input; it’s an ongoing loop that ensures the capabilities we deliver reflect the evolving needs of radiologists across a wide range of environments.

That’s why we partner closely with organizations like University of Rochester Medical Center (URMC), St. Luke’s University Health Network (St. Luke’s), along with many others, through early preview programs ahead of general availability, so they can guide how innovation needs to be integrated. By embedding structured preview and validation stages into our development cycle, we align our releases with customer readiness, continuously refining based on real-world feedback. The result: technology that not only pushes boundaries, but prioritizes the workflow and overall customer experience.

Ultimately, it’s this approach, continuous collaboration grounded in the day-to-day realities of radiology, that gives us confidence in how we are shaping the future of the reporting workflow. This foundation makes these customer stories not just possible, but repeatable at scale.

PowerScribe One serves as the foundation for what’s next

At URMC and St. Luke’s, trust in PowerScribe One began with confidence in a cloud-based foundation designed to scale and integrate seamlessly into the radiologist’s workflow. For URMC, moving to the cloud was essential to unlock advanced AI capabilities that improve efficiency and provider satisfaction amid rising volumes and increasing cognitive demands. At St. Luke’s, modernization with cloud capabilities was equally strategic, enabling innovation while maintaining continuity and trust across the enterprise.

Our partnership and deep engagement model with URMC and St. Luke’s are reinforced at scale: today, more than 10,000 radiologists across 250+ organizations have migrated to PowerScribe One, generating millions of reports every week, across environments ranging from large Integrated Delivery Networks (IDNs) and academic medical centers to independent reading groups. That experience shaped a clear understanding of how to bring AI into the reporting workflow—not as a separate tool, but as a capability embedded directly where radiologists work, without introducing additional steps or fragmentation.

Both organizations are realizing real outcomes through PowerScribe One and its AI features, including generated draft impressions personalized to each radiologist that support improved efficiency and report quality.

“We chose PowerScribe One so we could really take advantage of cloud-based reporting. It gives our radiologists built‑in AI, excellent speech recognition and personalized impressions, making it easier to keep up with increasing demands while continuing to deliver great patient care. Microsoft has been with us every step of the way, staying responsive and supportive through implementation, go‑live and ongoing adoption. We will continue this partnership to continue to improve our workflows and efficiency.”

Robert Fournier, MD, Chairman of Radiology, St. Luke’s University Health Network 

At URMC and St. Luke’s, generated draft impressions were widely adopted because the feature works natively inside the reporting workflow—helping ensure key findings are pulled from the report and summarized in the impression section, reinforcing radiologists’ confidence in their report quality.

The ongoing adoption of PowerScribe One and its draft impression capabilities reflects a broader principle: when AI is fully integrated into the workflow, it enables radiologists to deliver more consistent, efficient, and high-quality reports without disrupting how they work.

Extending AI in the reporting workflow with Dragon Copilot

Now, URMC and St. Luke’s are extending these capabilities with Dragon Copilot, building on PowerScribe One to introduce intelligent summarization and automation directly within the reporting experience. Both organizations are actively leveraging prior report summarization, a feature within Dragon Copilot, to surface essential patient context from relevant prior reports, helping radiologists interpret studies with greater clarity and focus. At URMC, this capability is already delivering value by improving visibility into patient history.

“It works amazingly…it provides a great interface for seeing so much about the patient you otherwise might not see.”

Sean Cleary, MD, Vice Chair of Informatics for Imaging Sciences, University of Rochester Medical Center

Looking ahead, both organizations see significant potential as Dragon Copilot continues to evolve. As it gains access to richer patient context and connects to a broader ecosystem of first- and third-party AI applications and agents, Dragon Copilot can help to further reduce cognitive load and enable continuous innovation without disrupting the radiologist’s workflow.

Meeting customers where they are: From deploying off-the-shelf AI to fine-tuning models

Increasingly, innovation in radiology is shaped not just by what Microsoft delivers, but by how customers and partners extend AI within real-world workflows—helping radiologists work more efficiently, surface critical insights faster, and support better patient care.

As AI adoption expands across radiology, organizations aren’t moving along a single path; they’re navigating a wide range of needs simultaneously. Some are focused on deploying trusted, ready-to-use AI solutions directly into clinical workflows, while others are exploring how to build, customize, and push the boundaries of what’s possible with AI. At Microsoft, we’re designing with this range in mind to meet customers where they are and support multiple approaches to innovation.

For organizations looking to quickly operationalize AI, we provide a streamlined path forward with centralized access to a curated set of FDA-cleared third-party imaging AI applications from our ecosystem of partners—helping simplify how they are evaluated, deployed, and integrated. These applications integrate with our reporting workflows, enabling radiologists to access AI-powered insights within PowerScribe One and helping simplify the adoption of new capabilities.

For St. Luke’s, this approach enabled the rapid deployment of a fracture detection model from Gleamer, delivering immediate impact across its geographically distributed network and helping ensure more consistent diagnostic support regardless of where patients entered the system.

In addition to bringing FDA-cleared imaging AI into practice today, we provide the flexibility for customers and partners to build, customize, and extend AI capabilities as their needs evolve. Our premium medical imaging foundation models, MedImageInsight Premium and CXRReportGen Premium, can be requested for preview through Microsoft Foundry, and are designed for fine-tuning across modalities and workflows. These models are not medical devices, but they enable teams to build and fine-tune models that can complement clinically validated imaging AI solutions.

Delivered as fully managed endpoints, our premium models are continuously improved with curated data and enable AI builders, health systems, and partners to develop institution-specific solutions tailored to local data, specialty use cases, and evolving clinical needs. Models derived from CXRReportGen Premium can be integrated into experiences like Dragon Copilot, bringing high-performing AI directly into the radiologist’s workflow for summarization and report generation.

Together, this approach allows organizations to combine production-grade, regulated AI with ongoing innovation on a single platform, bridging standardized diagnostics and bespoke AI development. Companies like Milvue, a radiology-focused AI developer, are already using our models to accelerate development of solutions tailored to real-world clinical workflows.

“Milvue is building a radiology-native VLM. By working with Microsoft and leveraging CXRReportGen, we could start from a strong foundation allowing our team to focus on what matters most: turning foundation-model capability into clinically validated, workflow-ready radiology solutions.”

Alexandre Parpaleix Co-Founder/CEO, Milvue

No matter where customers and partners are in their journey with generative, multimodal, and agentic AI, we’re here to support them. From clinical applications like PowerScribe One and Dragon Copilot to customizable models from Microsoft Foundry, we provide a trusted, scalable foundation for innovation—enabling organizations to advance at their own pace while keeping workflows, performance, and outcomes at the center.

We’re excited to bring this next wave of radiology innovation to life at the SIIM26 Annual Meeting + InformaticsTECH Expo. Join us in Pittsburgh, PA to experience it firsthand. Visit us at the SIIM 2026 Booth #630–632 where customers and partners can explore our solutions, see live demos, and engage with our models in an interactive learning lab. See what’s possible when AI is truly embedded in the workflow.

See how AI fits into your radiology workflow

• Connect with our team
• Read more about migrating to PowerScribe One
• See demo of how Dragon Copilot supports radiologists and other members of the care team
• Learn how Microsoft applies AI for better health outcomes

The post How collaboration advances workflow-native AI appeared first on The Microsoft Cloud Blog.

For years, nurse leaders and frontline nurses have generously shared their time, experience, and candor with us—helping guide how we think about technology, set priorities, and show up as a partner to the nursing profession. That sustained collaboration underscores the importance of aligning technology with the realities of nursing today and continues to inform Microsoft’s approach to supporting the nursing practice.

Honoring nurses through partnership and progress

To nurses everywhere: thank you.

Thank you for the care you deliver across long shifts and constant transitions. Thank you for the judgment calls made between alarms, handoffs, and documentation. And thank you for the partnership you have offered—sharing insights about what works, what doesn’t, and where healthcare must go next.

Over the years, nurses have helped surface some of the most pressing challenges in healthcare today:

• Increasing complexity of care
• Persistent staffing pressures
• Growing documentation burden
• The cognitive load of coordinating across distributed workflows
• The emotional toll of balancing efficiency with compassion

Their voices, lived experience, and willingness to share candid feedback have helped bring clarity and urgency to these challenges.

Nurses have consistently pushed assumptions and raised the bar for what supportive technology should look like. Their perspective has reinforced a simple but powerful truth: technology must fit the realities of nursing practice, not the other way around. That’s why we are continuing to take action—working alongside nurses to design solutions that bring meaningful relief to the operational, cognitive, and emotional demands of day-to-day practice.

Turning insight into action has meant spending time alongside nurses during real shifts—observing handoffs, documentation workflows, and care coordination in practice—and using that input to shape support in the moments that matter most.

Built with nurses—guided by decades of clinical trust

Microsoft’s work to support nurses builds on decades of clinical innovation—supporting care teams through technologies that strengthen communication, coordination, and access to information across care settings. Through this work, we’ve developed a disciplined approach to designing technology that aligns with how care is delivered in practice. Over time, health systems challenged us to apply that same rigor to relieving administrative burden within nursing workflows—grounded not in physician‑oriented tools, but in purpose‑built solutions designed around the unique realities of nursing practice.

That focus intensified through hands‑on co‑innovation with healthcare systems, where nursing leaders were unequivocal: workforce strain and administrative burden require urgent action—not observation. Instead of starting with a predefined solution, we worked side-by-side with nurses—designing in real care environments, testing during live workflows, and learning quickly. That sustained collaboration established nursing as a long‑term focus for digital and AI innovation, grounded in trust, relevance, and real clinical impact.

That momentum carried forward into deeper engagements with nurse leaders across the country, including industry forums and collaborative sessions where nurses identified practical opportunities to better support care coordination, communication, and wellbeing. These insights continue to inform how solutions evolve to support the full scope of nursing work.

Continuous feedback mechanisms have helped nurse voices remain central. The result is progress shaped not by a single program or moment, but by sustained partnership, iteration, and trust—reflected in solutions that increasingly align to how nursing work actually happens.

These stories reinforce why listening matters. They highlight the humanity of nursing work and the importance of building tools that support nurses without adding friction or complexity.

What’s new for nurses

Nurses deserve technology that works as hard as they do—respecting their expertise, valuing their time, and fitting naturally into care delivery. Progress isn’t just incremental improvement; it shows up when nurses can stay focused on patients, move more seamlessly across tasks, and leave a shift with less unfinished work and mental fatigue.

Purpose‑built with direct input from nurses, recent advancements to Microsoft Dragon Copilot represent a meaningful shift in how technology supports nurses. These innovations are designed to reduce friction across the full scope of a shift—extending well beyond documentation and aligning to how care is delivered across settings, teams, and shift-based responsibilities.

Recent advancements include:

• Smart room and wearable device integrations, powered through partners including Artisight, Caregility, hellocare.ai, and Stryker, help capture key information passively—reducing interruptions and freeing up time to stay focused on patient care.
• In-workflow access to organizational content such as policies, procedures, schedules, and communications, giving nurses access to even more information without breaking focus.
• Expanded service line support, including emergency departments and intermediate/stepdown units—meeting nurses where they practice.
• Dragon Copilot mobile app, extending support beyond in-EHR documentation to match how nurses work—reducing friction as they move between rooms, stations, and tasks.

Together, these enhancements reflect continued progress shaped by close collaboration with nurses—expanding where and how Dragon Copilot can be used and reinforcing a commitment to evolve alongside nursing practice.

A partnership that continues

Looking ahead, Microsoft remains committed to continued innovation in partnership with nurses—focusing on the most challenging aspects of nursing and applying technology where it can make a real difference. That commitment goes beyond listening; it means investing, building, and evolving solutions that support nurses across the full scope of their work.

This Nurses Week 2026 is both a moment of gratitude and a reaffirmation of how progress happens—together. By continuing to build with nurses and for nurses, we can help advance nursing in ways that honor the profession and support the future of care.

To nurses everywhere: thank you for all that you do every day, and for continuing to partner with us on this journey.

• Watch the Microsoft Dragon Copilot demo.
• Continue the conversation—The Nurse’s POV podcast explores how AI can support nurses, while keeping people at the center of change.
• As a thank you, LinkedIn Learning is providing access to CEU-eligible courses for nurses through the end of July 2026. 

Microsoft Dragon Copilot

Bring documentation, clinical context, and knowledge into one workflow.

Watch the demo

The post Built with nurses, shaped by trust: Honoring the humanity at the heart of care appeared first on The Microsoft Cloud Blog.

Research we conducted with senior healthcare executives in the United States, published in the New England Journal of Medicine, revealed a growing readiness divide. As some systems build governance, security, and workforce models to scale AI safely, others are still in proof-of-concept mode. The result? Diverging outcomes in productivity, workforce strain, cost-to-serve, and resilience.

The question is no longer whether AI belongs in healthcare. It’s how quickly organizations can operationalize it—safely, responsibly, and at scale.

Microsoft works with more than 170,000 healthcare customers globally to move from pilot to production with enterprise-grade security, privacy, and compliance.

So what does Frontier Transformation actually look like? The following examples show how healthcare organizations are embedding AI into core workflows—moving beyond pilots to deliver real, scalable impact with the governance and trust required in clinical environments.

Accelerating discovery and clinical development with AI

Frontier organizations are reinventing discovery by treating AI as an always-on research partner. It compresses the time it takes to find, synthesize, and act on evidence across functions. The result isn’t just faster tasks; it’s faster decisions and a more scalable path from insight to impact. As these capabilities become table stakes, organizations that can’t industrialize knowledge of work will fall behind in speed-to-trial, speed-to-market, and ultimately speed-to-patient.

UCB: Scaling agent-based AI with a secure internal platform

UCB built SKAI, a secure internal platform on Microsoft Azure for generative and agent-based AI, helping teams apply knowledge faster and operationalize AI with governance built in.

Syneos Health: Streamlining complex data to bring therapies to patients faster

Syneos Health is using AI to help teams analyze large, complex data sets across the clinical development lifecycle. With faster, more consistent synthesis of study inputs and operational signals, biopharma customers can make decisions with greater speed and confidence. Syneos Health reported reducing time for clinical trial site activation by about 10%, helping remove friction from a critical step in getting lifesaving therapies to patients. Enhanced predictive modeling and forecasting tools also allow teams to identify risks earlier, model scenarios, and engage customers and clinical partners more effectively.

Advancing care delivery with AI in the flow of clinical work

In care delivery, transformation happens when AI shows up in the flow of work. It reduces cognitive and documentation load and gives time back to clinicians. Frontier organizations use AI to shift capacity toward patients, not screens, while improving consistency and quality. As patient expectations rise and workforce shortages persist, the ability to deliver more care with the same (or fewer) resources is quickly becoming a differentiator.

Intermountain Health: Rehumanizing care by reducing documentation burden

Intermountain Health adopted Microsoft Dragon Copilot to reduce the administrative load that can pull clinicians away from patients. By supporting clinical documentation and automating routine tasks, clinicians at Intermountain Health reported experiencing a 27% reduction in time spent on notes per appointment, reducing cognitive burden and enabling more meaningful patient engagement by incorporating AI as a core part of their clinical workflow.

Cooper University Health Care: Giving clinicians time back in the flow of care 

Cooper University Health Care is using AI-powered clinical documentation to reduce the administrative burden that pulls clinicians away from patients. By embedding AI directly into clinical workflows, clinicians at Cooper reported saving more than four minutes per patient visit on documentation, experiencing less burnout, and engaging more meaningfully with patients—demonstrating how AI optimized workflows can rehumanize care at scale.

Mercy: Bringing ambient AI to nursing workflows

Nurses are at the center of care delivery and often at the center of documentation burden. Mercy has been using AI capabilities to transform nursing care. By capturing and structuring information in the flow of work, Mercy reported 8 to 24 minutes saved per shift for high-use nurses, a 21% reduction in documentation latency and a 4.5% increase in patient satisfaction from their initial rollout.

Streamlining operations and experiences across the healthcare organization

Frontier Transformation requires more than point solutions. It takes an AI-ready operating foundation that connects people, processes, and data across the organization. Frontier organizations use copilots and agents to standardize work, automate routine interactions, and deliver more consistent experiences at scale. Those that treat AI as isolated experiments often find themselves outpaced by peers who can improve service levels while bending the cost curve.

Bupa APAC: Building an AI-ready foundation to improve customer experiences

Bupa APAC is streamlining operations, automating routine processes, and making customer experiences more seamless thanks to AI. With an emphasis on AI readiness—skills, governance, and secure access to information—Bupa APAC upskilled its workforce with Microsoft 365 Copilot and GitHub Copilot, generating more than 410,000 lines of AI-assisted code, initiating more than 30,000 Copilot chats, and accelerating more than 100 AI use cases to improve care.

CareSource: Scaling compassionate service with cloud and AI

CareSource is applying AI to support operational scale while keeping a human touch. By modernizing platforms and automating processes that can slow service delivery, CareSource reduced documentation time by 75%, saved over USD125,000 on automation, and boosted developer productivity by up to 30%, helping their teams focus on the needs of members, providers, and communities.

Strengthening cyber resilience with AI

Cyber resilience is a transformation prerequisite. As care becomes more digital, AI must help defenders move at machine speed while maintaining trust and compliance. Frontier organizations use AI to triage, investigate, and report faster—reducing risk and freeing experts for the threats that matter most. In a sector where disruption can compromise patient safety, lagging security maturity can erase hard-won gains in digital transformation.

St. Luke’s University Health Network: Saving nearly 200 hours per month with AI-powered security agents

As healthcare expands its digital footprint, cyber defense becomes inseparable from patient safety and trust. St. Luke’s University Health Network is using Microsoft Security Copilot agents to accelerate phishing alert triage and to generate incident reports in minutes instead of hours. The organization reported saving nearly 200 hours per month, freeing security teams to focus on higher-value investigations and improving speed to response across its environment.

Act now to lead the future

If you’re looking at these examples and wondering where to start, focus on a few moves that help you learn quickly and scale safely.

• Start with workflows, not technology: Identify the highest-friction moments (such as documentation, imaging backlogs, complex data synthesis, member service, and security triage) and design AI interventions that measurably reduce time, effort, and risk.
• Get your foundation right, early: Prioritize secure access, identity, and data governance so copilots and agents have the right context, without compromising privacy or compliance.
• Make it real, and make it stick: Operationalize responsible AI (like oversight, evaluation, and human-in-the-loop), measure quality and safety, and invest in change management so adoption scales beyond early enthusiasts.

Start your Frontier Transformation today

These organizations show what Frontier Transformation looks like in practice—embedding intelligence across clinical, operational, and administrative work to deliver faster insights, reduced burden, strengthen security, and create better experiences at scale. The competitive bar is moving quickly. Waiting to act can mean higher costs, slower throughput, and greater strain on already-stretched teams. With deep healthcare experience and a global customer base, Microsoft can help organizations scale AI responsibly from the first workflow to redesign to enterprise-wide adoption.

The post What Frontier healthcare leaders are doing differently with AI appeared first on The Microsoft Cloud Blog.

New capabilities include the ability to surface relevant work-related information alongside patient data for customers using Microsoft 365 Copilot; partner-built AI apps and agents available through Microsoft Marketplace that extend intelligence across revenue cycle, clinical insights, and decision support; and expanded role-based experiences for physicians, nurses, and radiologists designed to scale securely across settings and geographies.

Today, more than 100,000 clinicians rely on Dragon Copilot as part of their daily practice—supporting care for millions of patients every month. That kind of adoption doesn’t happen by accident; it happens when technology earns trust, fits naturally into clinical workflows, and proves its value day after day. As healthcare continues to accelerate, the question facing organizations is no longer if AI will be part of care delivery, but how quickly they can equip their teams with tools that scale safely, work across roles, and keep clinicians focused on patients. The new Dragon Copilot capabilities we’re introducing at HIMSS 2026 build on this proven foundation—extending trusted clinical support beyond documentation to meet the growing demands of modern care.

Clinicians need more than access to data—they need an AI assistant that works alongside them, understands context, and supports action across systems and settings. Built on Microsoft Azure, Dragon Copilot delivers this capability with enterprise‑grade security, responsible AI, and cloud scale—giving organizations the confidence to deploy broadly and grow with care teams wherever they work.

“We ultimately went with Microsoft because of the security, the compliance, the scalability, and the fact that they’ve delivered reliable solutions for years.”

—Snehal Gandhi, MD, Vice President and Chief Medical Information Officer, Cooper University Health Care

See what Dragon Copilot has to offer:

Unifying the disparate—so care teams can move faster, with confidence

By unifying information from across systems and sources, Dragon Copilot reduces fragmentation and unnecessary searching—bringing patient data, trusted clinical content, and partner powered AI insights into a single, contextual experience within the clinical workflow.

What makes this approach different is not just access to information, but how intelligence is delivered and applied. Clinicians can naturally query, summarize, create, and act using voice or text—without toggling between tools. Insights are surfaced instantly in one place, enabling care teams to move fluidly from understanding to action while spending less time navigating systems and more time with patients.

That intelligence is grounded in a broad set of trusted sources, including:

• Prebuilt trusted clinical content with citations
• Patient data like diagnoses, labs, medications, and allergies
• Organizational content such as policies, procedures, schedules, and communications

When needed, reliable web information can also be accessed through a safety‑first pathway—ensuring responses remain appropriate for clinical use.

Care delivery depends on more than clinical facts—it also depends on fast access to the work context around care. With Microsoft 365 Copilot, powered by Work IQ and accessible inside Dragon Copilot, clinicians can pull in relevant work-related information from connected apps and enterprise data, right where they’re already working. Work IQ is the intelligence layer that helps Copilot understand how people collaborate across emails, files, meetings, and chats—so responses are grounded in the right context. The result is a more unified experience that reduces time spent searching across tools and keeps momentum inside the clinical workflow.

Dragon Copilot extends clinical intelligence beyond any single system or screen. Instead of being locked into one interface, clinicians can invoke powerful AI capabilities wherever they’re already working—across applications, EHRs, and web pages. By simply clicking or highlighting text, Dragon Copilot can read, understand, and apply its intelligence directly in context, without forcing clinicians to switch tools or reenter information.

For example, a clinician reviewing a note can place their cursor over a sentence and say, “Add more detail about what the patient shared regarding their cardiac history.” Dragon Copilot immediately expands the documentation using the surrounding clinical context—no copying, no pasting, and no workflow disruption—helping clinicians move faster while keeping their focus on the patient, not the screen.

Building on this foundation, Dragon Copilot further unifies innovation through AI apps and agents available in Microsoft Marketplace. Developed by partners such as Canary Speech, Humata Health, Optum, and Regard, these solutions deliver capabilities across clinical insights, revenue cycle management, prior authorization, and clinical decision support. Organizations can easily purchase, deploy, and scale partner innovation—while clinicians experience those insights directly within their existing workflows.

“Sentara Health is integrating Regard’s diagnosis and documentation technology within Dragon Copilot to save time, improve revenue integrity, and most importantly improve care.

By combining Dragon’s ambient conversation capture with Regard’s ability to surface key insights from data, we expect to help our clinicians identify comorbidities and relevant diagnoses in real time without adding steps to their workflow. Our goal is straightforward: strengthen the clinical picture, reduce documentation burden, and support more informed decision-making at the point of care.”

—Dr. Joseph Evans, Vice President, Chief Health Information Officer at Sentara Health

Simplifying the complex—so care teams can be present with patients

Dragon Copilot streamlines clinical documentation and routine tasks, so clinicians spend less time navigating systems and more time focused on patient care. By simplifying physician and nursing charting, notes, flowsheets, and radiology reporting, it reduces rework and cognitive burden—helping care teams work more efficiently and confidently across the day.

This simplification is powered by healthcare-grade AI models built for clinical accuracy, with clinical note quality evaluated using the Provider Document Summarization Quality Instrument (PDSQI9)—an industry standard developed with leading academic and healthcare institutions to ensure clear, consistent, and clinically appropriate outputs.

Beyond documentation, Dragon Copilot automates high friction tasks across the workflow. Persona specific note types, automated referral letters and after‑visit summaries, summaries of prior radiology reports, and proactive coding guidance reduce manual effort and unnecessary toggling—allowing care teams to focus on decisions, not data entry.

New and expanded capabilities include:

• Proactive ICD‑10 specificity suggestions, delivered during note review to support timely, accurate reimbursement.
• Reusable custom clinical documents, created from prompts or examples and managed as templates, allowing clinicians to get additional unique content created automatically, such as custom letters.
• Pull-forward workflow support to jump-start new documentation from prior notes.
• Multilingual conversation capture, connecting with patients in their language. Captures the conversation in 58 languages and automatically converts the encounter into a note written in the primary language used in each country.
• Seamless migration from Dragon Medical One, preserving existing commands, vocabularies, profiles, templates, and AutoTexts.

Scaling across roles, geographies, and devices

Dragon Copilot is designed with role-based experiences that deliver the right capabilities to each clinician, when and where they’re needed. Physicians, nurses, radiologists, and other care team members benefit from workflows tailored to their unique responsibilities—from documentation and care coordination to image interpretation—while organizations maintain consistency, security, and compliance at scale. With a single solution spanning multiple roles, including the only experience built for radiologists and demonstrated outcomes for nurses, healthcare organizations can simplify their technology footprint and drive greater return on investment.

Physicians

Dragon Copilot supports physicians across care settings through EHR‑integrated workflows and a dedicated app available on mobile (iOS and Android), web, and desktop. Physicians can document more efficiently, access timely clinical information, and reduce cognitive load—whether at the point of care or on the go.

Together with partners, Dragon Copilot continues to scale globally and is now available in U.S., Canada, the UK, Ireland, France, Germany, Austria, Belgium, and the Netherlands.

Nurses

Dragon Copilot enhances nursing workflows by ambiently capturing documentation at the point of care and transforming conversations into structured flowsheet entries. With expanded support for all med-surg flowsheet templates and lines, drains, and airways (LDAWs) additions and removals—nurses can document more completely without disrupting care.

Through a dedicated app available on mobile (such as iOS and Android), web, and desktop, nurses can also access information from trusted medical sources, query transcripts to surface key patient details, and create concise summaries—without leaving their workflow—reducing clicks, and keeping focus on patient care.

“Dragon Copilot gives power back to nurses to spend time at the bedside with face-to-face interactions.”

—Stephanie Whitaker, MSN, Registered Nurse, Chief Nursing Officer, Mercy

Nurses using Dragon Copilot have reported reduced cognitive load, faster documentation, and improved patient experience, reinforcing the value of role‑specific AI designed for frontline care. The Dragon Copilot nursing experience is available in the United States.

“I can say that without a doubt, using Dragon Copilot has significantly reduced the time that I’m focused and worrying about sitting down and getting my charting done behind the computer.”

—Christine Dupire, Registered Nurse, Mercy

Radiologists

Paired with PowerScribe One, Dragon Copilot helps minimize repetitive tasks such as reviewing prior reports and automates routine steps in report creation. It surfaces relevant clinical context, integrates customizable AI experiences, and provides intelligent access to credible information—helping radiologists stay focused and deliver high‑quality reports with confidence. The Dragon Copilot radiology experience is currently in preview in the United States.

“As we embrace the next frontier of AI, we know that having cloud-based solutions that work seamlessly with our existing products and systems is paramount. Having Dragon Copilot as a companion for PowerScribe One gives me confidence that I can test and benefit from the latest AI advancements with minimal disruptions and distractions.”

—Sean Cleary, MD, Vice Chair of Informatics for Imaging Sciences University of Rochester Medical Center

Restoring humanity to healthcare through AI

AI will only transform healthcare if it truly serves the people delivering care. Dragon Copilot is built for that purpose—bringing role‑based experiences, hands‑free workflows, and proactive clinical intelligence together in a way that fits naturally into how clinicians work. By unifying information, reducing friction, and extending trusted intelligence across the workflow, Dragon Copilot helps clinicians spend less time managing tasks and more time connecting with patients—restoring focus, confidence, and humanity to the practice of medicine.

Join the more than 100,000 clinicians already using Dragon Copilot

• Visit us at the HIMSS 2026 Booth #2812.
• Get the playbook to learn how clinicians utilize AI to work smarter.
• Download the white paper to explore AI use cases transforming healthcare.

The post Unify. Simplify. Scale: Microsoft Dragon Copilot meets the moment at HIMSS 2026 appeared first on The Microsoft Cloud Blog.

Every patient image tells a story, and radiologists play a critical role in unlocking insights from the pixels to inform downstream care. By delivering timely, accurate, and complete reports, radiology teams help bridge the gap between diagnosis and action, accelerating time to treatment and supporting better outcomes. Microsoft is deepening its commitment to healthcare by working closely with radiologists to deliver a unified AI experience for their reporting workflow. As radiologists face increasing demands for speed, accuracy, and efficiency in reporting, this is a pivotal moment for helping them unlock new levels of productivity and efficiency through generative, multimodal, and agentic AI.

At the 2025 Radiological Society of North America Conference and Annual Meeting (RSNA 2025), Microsoft is extending the value of its flagship AI clinical assistant, Microsoft Dragon Copilot, specifically for radiologists. Now in preview, Dragon Copilot integrates directly into familiar workflows to help radiology teams focus on their interpretations.*

Serving as a companion for PowerScribe One, Microsoft’s leading reporting solution and trusted by thousands of radiologists, it delivers a unified workflow that streamlines reporting, surfaces information, and automates tasks.

Delivering generative, multimodal, and agentic AI without disrupting existing workflows

Every day, radiologists face a relentless tide of images, data, and documentation—each with varying degrees of complexity and urgency. And every moment a radiologist spends wrestling with fragmented technology is a missed opportunity to make a difference when it matters most.

This challenge extends into the AI landscape where fragmentation occurs when tools address narrow problems but create extra steps and poor integration into broader clinical workflows. Yet, hope is on the horizon. With many radiologists relying on the proven capabilities of PowerScribe One, like speech recognition to accurately dictate their report content and generative AI for generating draft impressions, organizations are looking for ways to integrate AI without altering the entire reporting experience.

For radiologists, Dragon Copilot works with PowerScribe One to deliver generative, multimodal, and agentic AI in a secure, scalable, and extensible way. It brings cloud-native features and AI directly into the radiologist’s workflow. By integrating with PowerScribe One, Dragon Copilot can further streamline report creation without interrupting the radiologist’s interpretation.

As we embrace the next frontier of AI, we know that having cloud-based solutions that work seamlessly with our existing products and systems is paramount. Having Dragon Copilot as a companion for PowerScribe One gives me confidence that I can test and benefit from the latest AI advancements with minimal disruptions and distractions.

—Sean Cleary, MD, Vice Chair of Informatics for Imaging Sciences University of Rochester Medical Center

AI capabilities tailored for radiologists

Prior report summarization: Radiologists often rely on prior reports to provide essential context for interpreting current studies. Prior report summarization in Dragon Copilot distills relevant prior reports and associated metadata into concise bullets, helping improve speed and accuracy in diagnostics. It assists the radiologists in interpretation of the current exam by clearly highlighting findings from prior reports requiring follow-up or ongoing attention.

Chat with credible sources: During an interpretation, radiologists may have questions or need to do additional research on a specific topic. A chat experience in Dragon Copilot routes questions to the appropriate agent or plugin to deliver relevant, reliable responses backed by credible sources with patient context—helping radiologists work more efficiently and intelligently without having to toggle between windows and other applications.

Report optimization for billing and beyond: Dragon Copilot can use third-party AI insights from partners to check the report content to help radiologists improve accuracy and quality, helping to prevent downstream issues like claim denials. By surfacing important details and helpful reminders directly inside the reporting workflow, radiology teams can optimize their reports for billing and beyond.

AI draft report content: With Dragon Copilot, organizations can accelerate the path to intelligent, draft-first reporting by integrating self-developed and third-party multimodal AI models. Radiologists can receive AI-generated draft report content from image analysis, which they can then review, test, and validate.

Accelerating innovation with new models and a rich partner ecosystem

Many organizations are experimenting with testing, fine-tuning, and building AI models tailored to their specific needs. With the rise of multimodal AI models that can analyze medical imaging, genomics, clinical records, and more, customers and partners are leading the next wave of innovation and exploring new use cases.

Collaborating on this work allows us to assess models like CXRReportGen that support grounded report generation based on image analysis from chest X-rays. With these new capabilities comes the challenge of how to surface model output into clinical workflows in ways that can add value. This has given us the opportunity to collaborate on AI interoperability with Microsoft in concert with other partners like Epic and Sectra to test how multimodal AI can work across systems to optimize clinical workflows and improve patient care.

—Dr. Richard Bruce, Professor and Vice Chair of Informatics, Department of Radiology at the University of Wisconsin School of Medicine and Public Health

Microsoft Foundry offers a growing catalog of more than 50 first- and third-party healthcare AI models across modalities like radiology, pathology, dermatology, and protein analysis. Key models include MedImageInsight for image embedding, MedImageParse for segmentation, and CXRReportGen for drafting imaging reports.

Building on this foundation, Microsoft now provides premium versions of two proprietary AI models—CXRReportGen Premium and MedImageInsight Premium—trained on high-value datasets for superior accuracy and task-specific performance. These models allow developers and ISVs to create advanced imaging solutions without starting from scratch, supporting use cases such as image quality checks, image-to-image search, exam parameter classification, and metadata analysis.

Most importantly, our partners are also pushing the boundaries of what’s possible and offering radiology-specific AI apps and agents that can surface directly in Dragon Copilot.

• Lunit, a global leader in AI-powered cancer screening and diagnostics, brings advanced AI-powered image analysis for mammography exams to Dragon Copilot, allowing radiologists to receive real-time insights directly within their reporting workflow. Lunit’s comprehensive breast screening data assists radiologists in classifying and correlating abnormalities. By integrating Lunit’s algorithms, Dragon Copilot helps surface critical findings and optimize report accuracy without disrupting clinical interpretation—supporting diagnostic efficiency and better patient care.
• Zotec extends the value of Dragon Copilot by integrating revenue cycle management and billing intelligence directly into the radiologist’s workflow, helping ensure reports are complete, compliant, and satisfy quality measures before final sign-off. This seamless connection reduces the risk of missed billing information and the need for addenda, saving time and improving reimbursement accuracy. By making Zotec’s expertise available, Dragon Copilot empowers radiology teams to focus on clinical care while automating complex administrative tasks.

Lunit and Zotec are part of a broader ecosystem of partners bringing new AI innovations to Dragon Copilot customers. The collaborative innovation between Microsoft and its partners keeps solutions adaptable, secure, and tailored to the evolving needs of healthcare professionals.

Expanding what cloud, data, and AI can do for radiology

The power of our ecosystem extends beyond Dragon Copilot. At RSNA 2025, we’re extending that innovation across the broader Microsoft Azure ecosystem, showcasing partners who are transforming imaging workflows and data management in the cloud.

• Merge by Merative, from first click to final read, accelerates imaging workflows in the cloud.
• CitiusTech helps organizations consolidate their medical imaging on Azure with their digital imaging and communications in medicine (DICOM) migration suite.
• Qumulo allows for intelligent retention and lifecycle management of imaging data in one unified file system on Azure.
• Milvue delivers both automated X-ray measurements and pathology detection for chest and appendicular skeleton imaging, supporting both pediatric and adult patients.

PowerScribe One

Harness AI to achieve new levels of reporting accuracy and quality.

Learn more

Learn more about AI adoption in radiology

• See Dragon Copilot and our radiology solutions, including partner innovations, live at RSNA booth #1311.
• Not attending RSNA 2025? Contact your account executive to schedule a demo.
• For advice on how you can accelerate AI adoption in your organization, explore the 2025 AI in Healthcare Decision Brief.

*Dragon Copilot for radiology is currently in preview for PowerScribe One customers. 

The post Driving a unified AI experience at RSNA 2025: Microsoft Dragon Copilot expands to radiologists, transforming the reporting workflow appeared first on The Microsoft Cloud Blog.

Microsoft Dragon Copilot

See the AI assistant for clinical workflow in action

Watch the demo

Since its launch in spring 2025, Dragon Copilot has aimed to reduce clinicians’ cognitive burden and save time. Initially built for physicians, it’s evolving to empower a broader range of care team members while fostering a growing ecosystem of partner-driven AI solutions. 

Accelerating point-of-care clinical intelligence through partner-driven AI solutions 

Healthcare leaders today face the dual challenge of fostering innovation while simplifying operations. Dragon Copilot is designed to meet this need with flexibility and scale, helping deliver AI-powered partner applications and agents that integrate seamlessly into end-to-end clinical workflows. Dragon Copilot surfaces these third-party solutions directly within the product experience, expanding reach and engagement. 

Opening Dragon Copilot empowers healthcare organizations and developers to build and deploy purpose-built third-party solutions—examples ranging from automated prior authorization and revenue cycle management to clinical decision support. By enabling partner AI solutions for specific tasks and specialties, clinicians can further streamline workflows, automatically capture relevant patient data, reduce administrative burden, and boost productivity.  

Microsoft is working closely with an early cohort of partners including Artisight, Atropos Health, Canary Speech, Cohere Health, Elsevier ClinicalKey AI, Ensemble, Hellocare, Humata Health, Lightbeam Health Solutions, OpenEvidence, Optum, Pangaea Data, Press Ganey, Regard, Rhyme, Rhythmx AI, and Wolters Kluwer UpToDate. This collaborative approach brings advanced capabilities straight to clinicians, turning innovative ideas into real clinical impact. 

“At Baptist Health, we’re piloting Canary Speech through Dragon Copilot to advance diagnostics in a way that’s ambient, scalable, and seamlessly embedded into existing workflows. This technology democratizes screening—every patient interaction becomes an opportunity for early detection, without requiring the clinician to initiate or even think about the test. It’s a powerful example of how AI can elevate care without adding burden.”

—Brett Oliver, MD, Chief Medical Information Officer, Baptist Health 

Empowering partners with safeguarded AI innovation 

To help our partners accelerate innovation while maintaining the highest standards of safety and compliance, we’re excited to announce the general availability of healthcare agent service in Microsoft Copilot Studio. It provides a robust, compliant foundation for partners to build and deploy AI solutions that integrate into Dragon Copilot. With built-in knowledge sources and clinical safeguards, the service promotes generative AI outputs that are accurate and reliable—supporting informed decision-making at the point of care. By leveraging these capabilities, partners can confidently innovate, extend the value of Dragon Copilot, and deliver purpose-built solutions that streamline workflows. 

For healthcare executives, the benefits are clear: gain real-time access to advanced tools, maximize technology investments, and enable informed clinical decisions through a secure, scalable ecosystem of AI apps and agents. By connecting systems and clinical touchpoints, organizations can boost continuity, efficiency, and documentation quality to support better outcomes.

Empowering nurses with Dragon Copilot 

Nurses are the heartbeat of healthcare—steadfast, compassionate, and deeply committed to their patients. Yet every day, they face mounting pressures: staffing shortages, overwhelming documentation demands, fragmented tools, and constant context switching. The promise of AI in nursing isn’t about adding another screen—it’s about lifting burdens. It’s about meeting nurses where they are, easing the path from observation to documentation, and helping teams stay connected without losing precious time. 

A multi-year collaboration with frontline nurses across leading healthcare organizations has helped shape the experience for nurses in Dragon Copilot with real-world feedback. Their voices have kept us grounded in what truly matters: fewer clicks, better care team collaboration, and more time for the moments that matter most—direct patient care. 

“Considering the complexity of nursing documentation workflows today, we need to be asking if there is a different way to document into the electronic health record. Hospitals ecosystems are complex, and adding Dragon Copilot as an additional tool for nurses to help their daily documentation practices has shown value in both time and efficiency. The tool stands to provide greater value as more users come onboard, and we’ve seen commitment from our partners at Microsoft to continually improve the product, so it works optimally for nurses.”

—Darren Batara, MS, BSN, RN, CPHIMS, Manager of Nursing Innovation and Informatics, Stanford Health Care

Introducing an AI experience tailored to the needs of nurses 

• Ambient flowsheet capture: Dragon Copilot integrates directly into Epic Rover, the mobile app nurses already use at the bedside, freeing them from being tethered to a workstation. As they care for patients, they simply speak aloud—and Dragon Copilot listens, capturing and converting their observations into flowsheet entries. These entries are then transferred to the EHR after nurse review and approval. To support thorough charting, nurses can pause during recording to preview what’s been captured already, and access organization-provided documentation ‘cheat sheets’—all without disrupting their workflow. 
• Access to trusted clinical resources: Nurses can quickly access medical information from organization-approved sources like the US Centers for Disease Control and Prevention (CDC), Food and Drug Administration (FDA), Medline Plus, Merck manuals, and UpToDate, reducing the need to search or toggle between screens. Nurses get answers without disruption—helping them stay focused and feel supported in every moment of care.
• Automate routine tasks: Dragon Copilot transforms nurse-patient conversations into actionable outputs—automating tasks like drafting nurse notes and summarizing a prior interaction, enabling better care team collaboration, and more complete documentation with greater efficiency. By offloading routine tasks to AI, nurses can experience less overtime and mental fatigue—giving them more time and energy for the moments that matter most with their patients. 
• AI customization and user management: For administrators and informatics leads, the Dragon Copilot admin center provides a centralized platform to onboard users, tailor AI outputs to match nursing expectations, and guide informaticists through the journey this solution inevitably sparks—rethinking flowsheet design to better reflect how nurses actually care. 
• Analytics and insights: Analytics are designed to support organizations in driving transformation within their nursing workforce with AI.  

As AI continues to evolve, nurses will gain even greater support for documentation, decision-making, and collaboration. The future of nursing is one where technology fades into the background, and human connections take center stage—where every nurse is empowered to lead with insight, compassion, and confidence. 

Embracing the future of healthcare innovation 

As healthcare continues its rapid transformation, the expansion of Dragon Copilot stands as a testament to the power of AI to drive meaningful change across care teams, organizations, and geographies. By embedding intelligent tools directly into clinical workflows, Dragon Copilot is helping clinicians reclaim valuable time, reduce administrative burdens, and focus on what matters most: delivering exceptional patient care. The collaborative innovation between Microsoft and its partners keeps solutions adaptable, secure, and tailored to the evolving needs of healthcare professionals. With ongoing geographic expansion—now available in the United States, Canada, the United Kingdom, Austria, France, Germany, and Ireland—and a growing ecosystem of AI apps and agents, Dragon Copilot is poised to empower more clinicians worldwide, fostering a future where technology amplifies human connection and clinical excellence. Now is the time to embrace this new era of healthcare innovation—one where every member of the care team is supported, and every patient journey is elevated. 

Ready to take the next steps? 

• Visit us at HLTH booth #3860.
• Not attending HLTH 2025? Schedule a demo.
• Learn more about Dragon Copilot partners.

*General availability for nurses in the United States beginning December 2025. 

The post Extending AI impact at HLTH 2025: Dragon Copilot scales across care teams, partners, and geographies appeared first on The Microsoft Cloud Blog.

To keep the momentum around innovation, AI leaders, innovators, startups, researchers, scientists, and policymakers are coming together at HLTH Europe 2025 to stand up their latest AI use cases. Microsoft will showcase our commitment to advancing AI for better health by focusing on accelerating life-saving breakthroughs, transforming the healthcare experience, and enabling global health equity. These areas are central to our mission to help shape a future for every person on the planet to live healthier.  

Accelerating life-saving breakthroughs

Advancements in AI are also playing a pivotal role in accelerating life-saving breakthroughs and transforming healthcare into a more precise and efficient domain. Microsoft and the Mayo Clinic are leveraging multimodal data imaging models for chest X-rays lines and tubes to drive innovations in disease detection, and treatment while advancing the state of precision medicine. Jonathan Carlson, Vice President Managing Director at Microsoft Health Futures, and Dr. Matthew Callstrom, Vice President Chair of Radiology at Mayo Clinic, will spotlight the collaboration and the ways in which unified data, intelligence, and generative AI are adding value to clinician workflows and patient care. 

Transforming the healthcare experience  

At the heart of every clinical consultation is a human moment. But in an era of increasing clinical demands, empathy is at risk of becoming a casualty of efficiency. Our recent global survey, featuring insights from over 13,500 patients across 10 European countries and Australia, revealed a growing disconnect in the clinician-patient interaction but more importantly, an opportunity to rebuild that connection with the help of AI.  

Earlier this year, we announced Microsoft Dragon Copilot, a new groundbreaking AI solution that transforms the way clinicians work. At HLTH Europe 2025 we are bringing Dragon Copilot to life with Dr. Markus Vogel, Chief Medical Information Officer, Microsoft DACH, Dr. Simon Wallace, Chief Medical Information Officer, Microsoft United Kingdom, and Dr. Joost Juiskens, Chief Medical Information Officer, Microsoft Netherlands, who will demonstrate how Dragon Copilot combines proven technologies with advanced generative AI and healthcare-focused safeguards to revolutionize clinical workflows and enhance patient care across Europe. 

Dragon Copilot represents a significant step forward in scalable, AI-powered clinical productivity and will be generally available to European markets later this year. Ambient AI, when responsibly implemented, is transforming clinical documentation, lightening administrative burdens, and making healthcare more human-centered. Healthcare leaders should feel empowered to harness AI to restore what matters most—meaningful and empathetic connections between patients and clinicians. 

Enabling global health equity, responsibly  

Demonstrating a steadfast commitment to bringing AI technologies to life, we are dedicated to enabling global health equity through responsible innovation. By prioritizing health literacy, fostering trust, and aligning with Microsoft’s responsible AI practices, Microsoft is tackling real-world challenges in healthcare. We are focused on inclusive and equitable solutions that help ensure advancements in AI are accessible and impactful for every community. Through ongoing efforts to promote understanding and confidence in AI-powered healthcare, we are shaping a future where transformative technology benefits patients, clinicians, and populations worldwide. 

The future of healthcare starts now  

At Microsoft, we’re not just imagining meaningful change—we’re making it happen. Through strategic collaborations, responsible innovation, and deep commitment to the human side of healthcare, we are realizing the mission of AI for better health for every patient, provider, and population on the planet. 

Learn more about Microsoft Healthcare solutions  

• Visit us at HLTH Europe 2025, Booth D70, to see how we’re turning vision into action.
• Learn more about Microsoft Dragon Copilot.
• Discover insights from our latest clinician and patient experience survey. 

Microsoft Dragon Copilot

An extensible AI workspace that scales across specialties, care settings, and devices

Learn more

¹ World Health Organization, Health workforce.

² World Health Organization, Billions left behind on the path to universal health coverage, September 18, 2023.

³ NHS England, AWS NHS migration case studies.

The post Advancing AI for better health at HLTH Europe 2025 appeared first on The Microsoft Cloud Blog.

For over two decades, we have consistently delivered front-end speech capabilities that have helped clinicians document billions of patient records and that have become a cornerstone of clinical documentation. Five years ago, we took a significant leap forward by pioneering the ambient AI category in healthcare. Today, we announce the integration of these proven technologies with fine-tuned generative AI, healthcare-adapted safeguards, and new capabilities on a scalable platform. This powerful combination brings unprecedented levels of efficiency and care, offering wide-reaching benefits for all.

Our robust voice solutions have consistently delivered outcomes for clinicians, patients, and healthcare organizations. Outcomes like 5 minutes of time-savings per encounter on average that have enabled 13 additional appointment slots per provider, per month.¹ A 70% improvement in clinician work-life balance and reduction of feelings of burnout and fatigue.¹ And the delivery of better patient experiences, where 93% of patients say their physician is more personable and conversational due to our technology.²

Dragon Copilot builds on this evolution to streamline documentation, surface information, and automate tasks across care settings. It’s an AI extensible workspace that offers a unified experience, integrates with electronic health records (EHRs) such as Epic, and supports clinicians across all stages of their workflow. Part of Microsoft Cloud for Healthcare, it’s built on a secure, modern architecture and can take clinical productivity to new heights while helping boost clinician wellbeing and the patient experience, increasing efficiency, and improving financial impact.

Streamline documentation with new levels of customization

Dragon Copilot uses the latest AI models to help produce accurate documentation efficiently and consistently.

• Create clinical documentation automatically: Captures multiparty, multilingual patient-clinician conversations and orders ambiently during the visit and converts them into high quality, comprehensive, specialty-specific notes allowing clinicians to connect with patients rather than screens.
• No internet? No problem: Recordings are captured and processed once users are reconnected. 
• Produce high quality, customizable documentation: Allows clinicians to customize documentation, save templates, AI prompts, and frequently used text.
• Talk naturally: Provides natural language speech capabilities, dictation at the cursor, custom vocabularies, and intuitive voice correction capabilities across devices.

Surface information without leaving your workflow

From querying notes and getting medical information to receiving encounter recording suggestions, Dragon Copilot gives users access to pertinent information when they need it.

• Query notes: Provides details and answers questions like whether a patient is taking a certain medication, has a relevant family history, or mentioned something specific during the conversation. Copilot uses conversation transcripts and notes to address your requests.
• Get credible medical information: Clinicians can access a broad range of medical information and clinical topics, allowing them to check the latest protocols for managing a condition or check drug interactions, for example. Dragon Copilot uses grounded AI with citations to ensure trust in its responses.
• Receive suggestions: Create more complete notes. Dragon Copilot analyzes the transcript and makes suggestions to help clinicians capture specific information, such as temperature, BMI, and family history.
• Put conversational data to good use: Get insights at scale with Microsoft Fabric and Dragon Copilot. Tap into point-of-care data to better analyze usage and adoption and help improve research, patient care, engagement, outreach, and more.

“Using all these tools together is going to be a great in-room, in-office assistant for taking care of the patient. It’s just remarkable.”

Dr. Lance Owens, Chief Medical Information Officer, University of Michigan Health-West

Automate tasks with a single click

Dragon Copilot helps clinicians automate clinical and non-clinical tasks. From summarizing notes and evidence, to prepping orders and drafting referral letters and after visit summaries, it saves time and increases clinician productivity and efficiency.

• Make orders easy: Automatically capture over a dozen order types during clinician-patient conversations. With supported EHRs, orders are directly entered into the EHR order module. 
• Summarize notes: Get an instant synopsis of each encounter, including key facts and details, streamlining workflow and reducing cognitive load. Dragon Copilot makes it easy to get a quick refresher on the patient before finalizing a note.
• Summarize evidence: Receive more than just linked notes to transcripts. Dragon Copilot curates diagnosis evidence from subjective elements such as symptoms, objective elements such as labs and imaging, and other relevant information shared during the encounter.
• Create referral letters: Have Dragon Copilot quickly draft a referral letter from clinical notes by using the information gathered during an encounter. It automatically extracts key details—including medical history, requested services, and pertinent test or imaging results—and repurposes them for the letter.
• Generate after visit summaries: Dragon Copilot converts clinical documentation from encounter visits into written patient-friendly after-visit summaries, providing an easy reference for key clinical highlights and important directions.

“This is a complete transformation… it’s going to make it easier, more efficient, and help us take better quality care of patients.”

Dr. Anthony Mazzarelli, Co-President and Chief Executive Officer, Cooper University Health Care

True anywhere access

From a full-featured web app with no client installation, to dedicated mobile and desktop apps with added functionality, Dragon Copilot goes wherever you go. And for even greater workflow efficiency, Dragon Copilot is natively embedded in supported EHRs.

Access in-app training and support—whenever and wherever it’s most convenient

Dragon Copilot offers some of the best product support and insights to help healthcare organizations get the most out of their AI investment.

• On-demand training: In-app training videos and on-demand content provide access to training content.
• Integrated live chat and virtual support room: Need help? Dragon Copilot comes with immediate support without leaving the app and a virtual support room staffed by experts.
• Product and AI feedback: In-app feedback and dedicated channels enables clinicians to rate Dragon Copilot and provide feedback that helps improve the product experience, note quality and AI responses.

Our expansive partner ecosystem

Dragon Copilot is bolstered by our collaboration with healthcare industry experts across our global ecosystem of trusted partners. We work with leading independent software vendors (ISVs), system integrators (SIs), and cloud service providers (CSPs) so our customers in every region can access the healthcare solutions and offerings they need.

Dragon Copilot is coming to you

Dragon Copilot is generally available in the United States and will be generally available June 1, 2025 in Canada, except for the province of Quebec. General availability in the Canadian province of Quebec, will follow later this year with international market expansion to the United Kingdom, Germany, France, and the Netherlands.

Built on a foundation of trust

We are dedicated to helping customers use and build AI that is trustworthy, secure, safe, and private. By using the Microsoft Secure Future Initiative, we support the highest standards of security, privacy, and compliance. Our AI aligns with Microsoft’s responsible AI practices and incorporates healthcare-specific clinical, chat, and compliance safeguards to ensure accurate and safe outputs. Additionally, our data is grounded in privacy principles, backed by transparent policies, and protected by rigorous safeguards.

“Microsoft has invested a lot in security. It gives me peace of mind that Dragon Copilot is part of the whole Microsoft suite.”

Novlet Mattis, Senior Vice President, Chief Digital and Information Officer, Orlando Health

Ready to take the next step?

• Visit us at HIMSS Booth #2221.
• Not attending HIMSS 2025? Join us for our livestream event.
• Learn more on Dragon Copilot.
• Explore the latest with our new healthcare AI models.

Dragon Copilot

A new groundbreaking solution that transforms the way clinicians work

Discover more

¹ Microsoft survey of 879 clinicians across 340 healthcare organizations using DAX Copilot; July 2024.

² Survey of 413 patients conducted by multiple healthcare organizations whose clinicians use DAX Copilot; June 2024.

The post Meet Microsoft Dragon Copilot: Your new AI assistant for clinical workflow appeared first on The Microsoft Cloud Blog.

Microsoft is at the forefront of this transformation, dedicated to developing and implementing responsible AI technologies. By fostering innovation and collaboration through Microsoft Cloud for Healthcare, we continue to reinforce how responsible AI can enhance healthcare delivery and improve outcomes for patients worldwide. Building on this commitment, we’re excited to introduce new features in our AI healthcare portfolio that will further drive industry efficiencies, and better patient outcomes. 

Advanced AI models and integrations for healthcare 

As medical technology advances, improvements in medical imaging are critical for better diagnosis of disease and improved patient care. In 2024, we announced the launch of healthcare AI models, a collection of cutting-edge multimodal medical imaging foundation models available in Azure AI Foundry. Designed for precise image segmentation, MedImageParse 2D model covers many imaging modalities, including x-rays, CTs, MRIs, ultrasounds, dermatology images, and pathology slides. It can be fine-tuned for specific applications such as tumor segmentation or organ delineation, allowing developers to test and validate the ability to leverage AI for highly targeted cancer and other disease detection, diagnostics, and treatment planning.  

Today, we’re excited to share the MedImageParse model is now optimized for 3D medical imaging data. MedImageParse 3D can handle complex 3D datasets produced by advanced imaging, such as MRI and CT scans, providing a more comprehensive view into patients’ conditions. The enhanced ability to visualize and interpret anatomical abnormalities and structures provides for much more accurate diagnosis that may have been missed by 2D analysis. MedImageParse can also support healthcare researchers with comprehensive image analysis and a more streamlined workflow for radiologists, improving overall efficiency and reducing human error. MedImageParse 3D can soon be found in the Azure AI Foundry model catalog.  

In partnership with Microsoft Research, the Microsoft Health and Life Sciences model catalog will also feature several new and updated multimodal medical foundation models including TamGen for protein design, Hist-ai for pathology, and ECG-FM for electrocardiogram (ECG) analysis. 

Leveraging multimodal AI for improved health insights 

Today, we are excited to announce new functionality in healthcare data solutions that allows customers to orchestrate multimodal AI insights directly into Microsoft Fabric. Now in public preview, orchestrating multiple modalities (e.g., text, image, audio, video, and other forms of sensory input) of health data within Fabric allows healthcare organizations to generate a robust set of insights that help faster decision-making and improved patient outcomes. 

Customers can leverage Fabric to orchestrate multimodal AI insights by connecting their healthcare data to a variety of AI services and models. These AI-generated insights are then integrated back into the healthcare data estate to enable various use cases like creating targeted outreach and care plans by enriching clinical conversations with social determinants of health (SDOH) and sentiments. Another possible scenario is deriving quick insights and disease progression trends for clinical research by creating image segmentations and combining it with imaging metadata through Microsoft Power BI reports. 

The orchestration capability includes five out-of-the-box examples to help customers connect and integrate to AI models: 

1. Text analytics for health in Azure AI Language to extract medical entities from unstructured data such as diagnoses and medications, and the relations between entities.  

2. MedImageInsight AI model in Azure AI Foundry to generate medical image embeddings from imaging data.  

3. MedImageParse AI model in Azure AI Foundry enables segmentation, detection, and recognition from imaging data across numerous object types and imaging modalities.  

4. Sentiment analysis with Azure OpenAI Service to score sentiment for categories such as doctors’ services, staff services, facilities, and cost from conversational data. 

5. SDOH extraction with Azure OpenAI to extract social determinants of health data from conversational data based on the Centers for Medicare and Medicaid Services’ defined categories. 

To further enhance data accessibility, we’re pleased to share the general availability of additional functionality that enhances the existing capabilities within our healthcare data solutions offering. These include:   

• Centers for Medicare and Medicaid Services Claim and Claim Line Feed Files (CMS CCLF) claims data ingestion: Customers can bring CMS CCLF claims data into Fabric where they can assess the effectiveness of their care management programs, monitor population-level trends and usage as well as measure their performance against benchmarks to reduce overall claim expenses and improve patient care.  

• Social determinants of health public datasets transformation: Now healthcare organizations can ingest, persist, harmonize, and use SDOH public datasets to identify risks and health-related social needs, ultimately creating more equitable healthcare for all patients and communities. 

• Care management analytics: By using unified healthcare data and care management analytical templates, healthcare providers can enhance patient care by identifying high-risk individuals, optimizing treatment plans, and improving care coordination. This empowers organizations to deliver personalized, efficient, and proactive care.  

• Patient outreach analytics: Healthcare providers communicate with their patients more effectively by orchestrating personalized journeys across patient touchpoints. This capability simplifies the process by bringing data from different sources into Fabric, transforming it into an industry data model, and serving it to a Power BI report. 

• Dragon Copilot ambient AI integration: Dragon Copilot’s AI-powered, voice-enabled capabilities reduce the administrative workload of clinicians by automatically documenting patient encounters. With integration into Fabric, this new capability brings conversational data into Fabric OneLake. This integration enables customers to access, store, and manage the raw data generated. The data is stored in a lakehouse, organized in a hierarchical structure by date, which lets customers view each file and its content. When used in conjunction with healthcare data solutions, customers can combine their conversational data with their clinical data to learn more from patient interactions. 

“There is a lot of unrealized value in patient physician interactions. OSUMC is aiming to leverage conversational data along with multimodal AI insights in healthcare data solutions such as social determinants of health extraction to improve patient outcomes.”  

—Ravi Dyta, Director of IT at Ohio State University Wexner Medical Center

Achieve more with AI you can trust

This week’s Microsoft Cloud for Healthcare announcements underscore our commitment to transforming healthcare through advanced AI models and data integrations. By leveraging these cutting-edge technologies, we’re empowering healthcare organizations to deliver better care, help improve patient outcomes, and drive innovation in the industry. 

Connect with us in the Microsoft booth #2221 at HIMSS 2025 to immerse yourself in the latest advancements in data and AI from Microsoft and our partners.  

• Meet Microsoft Dragon Copilot: Your new AI assistant for clinical workflow

• Learn more about our recent releases in healthcare data solutions in Microsoft Fabric 

• Explore the latest with healthcare AI models

Microsoft Cloud for Healthcare

Transform how your organization uses AI

Discover solutions

Medical device disclaimer: Microsoft products and services (1) are not designed, intended or made available as a medical device, and (2) are not designed or intended to be a substitute for professional medical advice, diagnosis, treatment, or judgment and should not be used to replace or as a substitute for professional medical advice, diagnosis, treatment, or judgment. Customers/partners are responsible for ensuring solutions comply with applicable laws and regulations.  

Generative AI does not always provide accurate or complete information. AI outputs do not reflect the opinions of Microsoft. Customers/partners will need to thoroughly test and evaluate whether an AI tool is fit for the intended use and identify and mitigate any risks to end users associated with its use. Customers/partners should thoroughly review the product documentation for each tool. 

The post Leading the charge to transform healthcare with advanced AI  appeared first on The Microsoft Cloud Blog.

Dragon Copilot Partner Resources

Access partner resources

Dragon Copilot is bolstered by our collaboration with healthcare industry experts across our extensive global ecosystem of trusted partners. We work with leading independent software vendors (ISVs), system integrators (SIs), and cloud solution providers (CSPs) across the globe to help our customers drive better healthcare outcomes.

Unlock new AI use cases with Dragon Copilot

Partnering with Microsoft allows organizations to tap into Dragon Copilot to accelerate innovation and unlock new avenues for future business growth through the Microsoft commercial marketplace.

Dragon Copilot’s trusted AI models are trained on healthcare data, providing a host of AI solution possibilities. Partners can build even stronger healthcare solutions and offerings by leveraging a comprehensive end-to-end toolchain—including Microsoft Fabric, Microsoft Copilot Studio, and Microsoft Azure AI Foundry. Plus, a single integration to Dragon Copilot extends a partner’s AI clinical use cases throughout the entire Microsoft Azure ecosystem, opening new opportunities for innovation and collaboration.

Embrace innovation with responsible AI

Dragon Copilot’s new capabilities are built on a secure data estate and incorporate healthcare-specific clinical, chat, and compliance safeguards for accurate and safe AI outputs. They also align to Microsoft’s responsible AI principles to help guide AI development and use—transparency, reliability and safety, fairness, inclusiveness, accountability, privacy, and security. We remain committed to developing responsible AI by design and ensuring that these technologies positively impact both the healthcare ecosystem and broader society and will share our learnings on this journey with our customers.

Driving better healthcare outcomes together

Our healthcare partner ecosystem is constantly growing, highlighted below are just a few of the more than 30 major partners already working with Microsoft. We’re committed to advancing AI innovation in healthcare together with a diverse partner community that spans regions, partner types, and specialties.

Independent software vendors

Dragon Copilot empowers ISVs with trusted AI models to create innovative AI-powered use cases, along with opportunities for new revenue channels through the extensibility framework. Several of our industry-leading ISV partners—including MEDITECH, ChipSoft, Dedalus, Canary Speech, and Softway Medical Group—are helping bring Dragon Copilot to life.

Leading U.S.-based electronic health provider (EHR) provider MEDITECH is embedding Dragon Copilot into their Expanse EHR solution to improve clinical workflows.

“We understand the challenges clinicians face today, and Dragon Copilot represents a significant step forward in alleviating those burdens. Integrating this innovative solution directly into Expanse streamlines documentation and ordering processes, reduces cognitive overload, and ultimately empowers providers to deliver superior, more patient-centered care. At MEDITECH, we’re proud to partner on solutions that prioritize both efficiency and clinician well-being.”

—Cathy Turner, Chief Marketing and Nurse Executive, MEDITECH

ChipSoft, an EHR provider serving Dutch-speaking markets, is integrating new healthcare AI applications into their EHR solution HiX using Dragon Copilot to address the growing demand for digital solutions that reduce the workload of healthcare professionals.

“We are excited to bring this cutting-edge AI platform to healthcare professionals, enabling them to work more efficiently and effectively. With the availability of AI in HiX, we take an important step in supporting healthcare professionals with their administrative burden. This helps to keep healthcare accessible despite increasing demand and ongoing staff shortages.”

 —Hans Mulder, CEO of ChipSoft

European electronic medical record (EMR) market leader Dedalus, based in Italy, is integrating Dragon Copilot into their EMR solutions, providing clients with healthcare IT innovations that enhance clinical efficiency and improve patient outcomes.  

Additionally, Canary Speech, a US-based leader in voice AI, sees Dragon Copilot as an opportunity to integrate their innovative voice technology with Microsoft’s robust cloud and AI capabilities, driving advancements in early disease detection, mental health assessment, and overall patient care.

“Microsoft’s commitment to working with partners is helping drive digital transformation in healthcare. [The investments Microsoft is making into its partner ecosystem] are helping us transform our business to deliver impactful, human-centered solutions.”

—Henry O’Connell, CEO and co-founder of Canary Speech

French healthcare enterprise resource planning (ERP) system provider Softway Medical Group provides solutions that focus on the needs of the user, including improving the quality of life of nurses at work, optimizing care processes, increasing organizational efficiency, and improving quality of care.

“We are committed to serving healthcare professionals, designing digital solutions that enable them to make informed decisions, while preserving their well-being and providing quality patient care. Partnering with Microsoft allows us to respond to the major challenges faced by healthcare organizations by providing innovative tools and applications.”

—Sherley Brothier, Chief Product and Technology Officer, Softway Medical Group

System integrators

With powerful AI infrastructure and technology that works across EMRs, Dragon Copilot provides SIs with a strong foundation for new AI use cases and integrations. Our SI partners such as Accenture-Avanade, Kyndryl, and Cognizant, to name a few, are at the forefront of AI innovation.

To boost clinician productivity and provide better patient services, the Accenture-Avanade partnership uses generative AI capabilities powered by Microsoft Copilot for patient medical history summarization, patient response drafting, and intelligent search.

“As a Dragon Copilot partner, we recognize its potential to transform the clinical experience through seamless EHR integration and continuous support for clinicians. In an industry facing staffing shortages and burnout, Dragon Copilot has the potential to alleviate administrative burden, enhance clinician-patient interactions and increase access to care.”

—Tejash Shah, M.D., Managing Director and Global Care Reinvention Lead, Accenture Health

Additionally, Kyndryl—the world’s largest IT infrastructure provider—co-creates solutions to help healthcare organizations reach their peak digital performance.

“Today’s announcement marks a significant milestone in Kyndryl’s commitment to optimizing clinical workflows and improving patient care through ambient listening with advanced AI technology. We’re thrilled to be a Microsoft partner as we work to address clinician burnout and improve the overall healthcare experience. By automating routine tasks, we can help clinicians reclaim valuable time to spend with their patients, bringing the joy back into care.”

—Trent Sanders, Vice President for U.S. Healthcare and Life Sciences, Kyndryl

Cognizant plans to integrate Dragon Copilot into its TriZetto Provider Solutions with the goal to provide their clients with state-of-the-art capabilities to streamline documentation and improve efficiencies.

“This innovative solution represents an opportunity for us to help our clients transform the way they provide care. Dragon Copilot’s integrated AI technologies aim to enhance operational efficiency, reduce clinician burnout, and improve patient care. This partnership with Microsoft will underscore our commitment to driving innovation in healthcare and delivering exceptional value to our clients.”

—Dr. Scott R. Schell PhD MD MBA, Chief Medical Officer, Cognizant

Cloud solution providers

Dragon Copilot enables CSPs to reach new markets by leveraging robust AI infrastructure and technology that works across EHRs and EMRs to create innovative service offerings. We’re partnering with trailblazing CSP partners—including CDW, ORdigiNAL, and Clinically Speaking—to boost efficiency in healthcare with Dragon Copilot.

Combined with the power of Microsoft AI, IT solution provider CDW aims to transform the healthcare landscape by providing services that improve efficiency, enable timely decision-making, and empower providers to deliver superior patient care.

“Clinician burnout is a major problem for healthcare organizations and patient experience. Recognizing the strain that clinicians face in their daily routines, we’re proud to partner with Microsoft in the exploration of innovative solutions that address the root causes. By automating routine tasks, clinicians can redirect their efforts toward more critical aspects of patient care.”

—Mike Grisamore, Vice President of Healthcare, CDW

A global value-added distributor based in the Netherlands, ORdigiNAL empowers healthcare organizations with the tools to improve operational efficiency and patient experience.

“At ORdigiNAL, we recognize the critical need for technology that supports clinicians without disrupting their workflow. By partnering with Microsoft on Dragon Copilot, we are bringing an AI solution to healthcare professionals worldwide, helping them improve care quality, increase efficiency, and enhance patient outcomes.”

—Jordy Onrust, CEO and owner of ORdigiNAL

EHR solution provider Clinically Speaking is looking forward to integrating the ambient and generative AI capabilities of Dragon Copilot to advance their documentation solutions and improve healthcare provider office workflows.

“Combining our significant user base with the new AI and ambient recording capabilities from Microsoft, Clinically Speaking is uniquely positioned to deliver the maximum benefit from this new technology.”

—Michael Janas, President of Clinically Speaking

Join our partner ecosystem today

Whether you want to build, integrate, migrate, extend, or sell with Microsoft, we’ll help you grow across our extensive global healthcare channel.

• Learn more about Dragon Copilot
• Check out the Microsoft AI Cloud Partner Program (MAICPP)
• Access Dragon Copilot MAICPP Partner Resources—coming soon
• Explore Microsoft Cloud for Healthcare solutions

The post Microsoft partners are shaping the future of healthcare with Microsoft Dragon Copilot appeared first on The Microsoft Cloud Blog.