Tuesday, November 5, 2019

Leveraging AI and Machine Learning to advance interoperability in Canadian healthcare

By Wilson To and Patrick Combes Navigating the health care system, is often a complex journey involving multiple physicians from hospitals, clinics, and general practices. At each junction, healthcare providers collect data that serve as pieces in a patient’s medical puzzle. When all of that data can be shared at each point, the puzzle is complete and practitioners can better diagnose, care for, and treat that patient. However, a lack of interoperability inhibits the sharing of data across providers, meaning pieces of the puzzle can go unseen and potentially impact patient health. The challenge of achieving interoperability True interoperability requires two parts: syntactic and semantic. Syntactic interoperability requires a common structure so that data can be exchanged and interpreted between health information technology (IT) systems, while semantic

From http://besthealthnews.com/2019/11/leveraging-ai-and-machine-learning-to-advance-interoperability-in-canadian-healthcare/?utm_source=rss&utm_medium=rss&utm_campaign=leveraging-ai-and-machine-learning-to-advance-interoperability-in-canadian-healthcare


From https://jamesjohnson10.blogspot.com/2019/11/leveraging-ai-and-machine-learning-to.html


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