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“The” international event in Healthcare Social Media, Mobile Apps, & Web 2.0
2015-06-04 - 2015-06-05    
All Day
What is Doctors 2.0™ & You? The fifth edition of the must-attend annual healthcare social media conference will take place in Paris;  it is the [...]
5th International Conference and Exhibition on Occupational Health & Safety
2015-06-06 - 2015-07-07    
All Day
Occupational Health 2016 welcomes attendees, presenters, and exhibitors from all over the world to Toronto, Canada. We are delighted to invite you all to attend [...]
National Healthcare Innovation Summit 2015
2015-06-15 - 2015-06-17    
All Day
The Leading Forum on Fast-Tracking Transformation to Achieve the Triple Aim Innovative leaders from across the health sector shared proven and real-world approaches, first-hand experiences [...]
Health IT Summit in Washington, DC
2015-06-16 - 2015-06-17    
All Day
The 2014 iHT2 Health IT Summit in Washington DC will bring together over 200 C-level, physician, practice management and IT decision-makers from North America's leading provider organizations and [...]
Events on 2015-06-15
Events on 2015-06-16
Health IT Summit in Washington, DC
16 Jun 15
Washington DC
Articles

Microsoft, 16 health systems shape AI

Sixteen health systems, in collaboration with Microsoft and other healthcare technology organizations, have established the Trustworthy & Responsible AI Network (TRAIN). This initiative focuses on defining best practices and standards for AI in healthcare to improve the quality and trustworthiness of AI applications. TRAIN aims to ensure responsible development and evaluation standards for technologies like patient screening and administrative task automation. Major health systems including Mercy, Mass General Brigham, Providence, Cleveland Clinic, and AdventHealth are part of TRAIN, along with partners OCHIN and TruBridge. The goal is to make TRAIN’s benefits accessible to organizations of all sizes. Founding members of TRAIN were also part of the Coalition for Health AI (CHAI), and TRAIN will build upon CHAI’s work to operationalize principles for trustworthy healthcare AI.