{"id":395,"date":"2016-01-12T18:47:25","date_gmt":"2016-01-12T18:47:25","guid":{"rendered":"https:\/\/www.microsoft.com\/en-ca\/industry\/blog\/industry\/2016\/01\/12\/r-you-ready-for-agile-advanced-analytics\/"},"modified":"2016-01-12T18:47:25","modified_gmt":"2016-01-12T18:47:25","slug":"r-you-ready-for-agile-advanced-analytics","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-ca\/industry\/blog\/health\/2016\/01\/12\/r-you-ready-for-agile-advanced-analytics\/","title":{"rendered":"“R” you ready for agile advanced analytics?"},"content":{"rendered":"

In the world of healthcare, the use of advanced analytics to understand current performance and predict future outcomes is key to successfully navigating rapidly changing care and payment models. From managing quality to improving financial performance (both go hand-in hand), health systems are doubling down on investments in applied analytics.<\/p>\n

Increasingly, a critical component in achieving success is the use of a specialized programming language called R<\/strong>.<\/p>\n

R is the most widely used programming languages for statistical computing and predictive analytics that is increasingly favored by data scientists and clinical informaticists in developing the latest solutions for health analytics.<\/p>\n

At Microsoft we are embracing and extending the use of R in healthcare worldwide. In the past year we did this by delivering a steady stream of innovations and updates to help our customers and partners leverage the power of R including:<\/p>\n