{"id":1755,"date":"2016-06-14T16:06:53","date_gmt":"2016-06-14T23:06:53","guid":{"rendered":"https:\/\/www.microsoft.com\/industry\/blog\/uncategorized\/transforming-healthcare-cognitive-computing\/"},"modified":"2023-11-30T16:28:36","modified_gmt":"2023-12-01T00:28:36","slug":"transforming-healthcare-cognitive-computing","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/healthcare\/2016\/06\/14\/transforming-healthcare-cognitive-computing\/","title":{"rendered":"Transforming healthcare with cognitive computing"},"content":{"rendered":"

As I\u2019ve written before, health leaders are realizing that to tackle today\u2019s healthcare challenges and empower a healthier future for all, they need to think beyond their EMRs.<\/p>\n

EMRs have been an important step in digitizing medical data. But now that this foundational step is complete for many health organizations, they\u2019re ready for the next step\u2014taking advantage of transformational technologies that don\u2019t just replicate existing processes, but enable entirely new ways of doing things for more proactive and predictive approaches to health.<\/p>\n

The transformational technology of cognitive computing<\/h3>\n

One such transformational technology is cognitive computing, which is going to have an incredible impact on the health industry\u2014particularly as data becomes more complex and multifarious. As health organizations seek to interpret ever-expanding amounts of information\u2014from EMRs as well as genomic biobanks, wearables, social media, and population health, weather, and socioeconomic big data trends\u2014they need solutions that go beyond analytics to include built-in intelligence.<\/p>\n

Toward that end, Microsoft recently announced that Cognitive Services are now part of the Cortana Intelligence suite<\/strong>. The limitless computing power of the cloud and availability of data means that health organizations can take advantage of both predictive, prescriptive analytics and machine learning. Not only that, today\u2019s technologies enable solutions that are intelligent through their ability to see, hear, recognize faces, detect emotions, interpret language, infer intent, and prescribe and automate outcomes. You can learn more about Cognitive Services and Cortana Intelligence in this recent blog<\/a> by Joseph Sirosh, our corporate vice president of the data group.<\/p>\n

Modern intelligence and machine learn with InnerEye<\/h3>\n

A great example of modern intelligence capabilities in healthcare is the InnerEye project<\/a>, led by Antonio Criminisi of the Microsoft Research group. InnerEye uses machine learning for medical imaging analysis to do things like quantify the size of tumors and identify which areas are most aggressive\u2014which are time-consuming and difficult for health professionals to do. According to a recent BBC story, the Inner Eye project could make the process of ascertaining the extent of tumors 40 times quicker than doing so by hand. What\u2019s more, the detailed imaging analysis could help health professionals determine the most effective treatments. See InnerEye in action in the BBC story video<\/a>.<\/p>\n

The InnerEye project shows how today\u2019s technologies can empower health professionals with better, faster intelligence to help them provide more targeted, personalized care.<\/p>\n

Imagine how your health organization could transform healthcare with cognitive computing.<\/strong> We welcome you to share your imaginings with us via\u00a0email<\/a>,\u00a0Facebook<\/a>, or\u00a0Twitter<\/a>. Please also reach out with any questions or comments.<\/p>\n

And\u00a0read more on this topic in the\u00a0blog post “Advanced analytics success starts with changing your mind<\/a>” by Tom Lawry, Director of Worldwide Health.<\/p>\n","protected":false},"excerpt":{"rendered":"

Empowering more proactive and predictive approaches to health with modern intelligence capabilities.<\/p>\n","protected":false},"author":843,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"categories":[1507],"post_tag":[4466],"content-type":[1483],"coauthors":[1417],"class_list":["post-1755","post","type-post","status-publish","format-standard","hentry","category-healthcare","tag-imaging","content-type-thought-leadership","review-flag-new-1593580249-279"],"yoast_head":"\nTransforming healthcare with cognitive computing - Microsoft Industry Blogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.microsoft.com\/en-us\/industry\/blog\/healthcare\/2016\/06\/14\/transforming-healthcare-cognitive-computing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Transforming healthcare with cognitive computing - 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