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The project will "bring machine learning to data" while protecting privacy and integrity.
Deploying the model with EHR data could help address cancer patient navigator burnout. The process could be scaled to serve all oncology patients in need, a retrospective simulation study showed.
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The newest batch of health systems to receive funding to examine their clinicians' patterns of electronic health record use include Brigham and Women’s, MedStar, UCSF and Yale School of Medicine.
Dr. Don Rucker, now chief strategy officer with 1upHealth, weighs in on where TEFCA is headed and his fundamental concerns about veering away from the way the rest of industry computes.
The factors influencing health outcomes occur outside of traditional healthcare settings, but tools that effectively capture and use social determinants of health data can help providers advance health equity.
The large language model is still in testing, but the AI tool had a median accuracy score of 77.8% compared to a physician score of 62.8%. The code base is now available to all healthcare organizations.
Three updates to Amazon HealthLake aim to help EHR and health IT developers reduce complex data exports, boost interoperability and maintain compliance with federal API and data exchange rules.
The health system is prioritizing "patient safety, privacy and ethical considerations" as it pushes forward to realize positive impacts from artificial intelligence and machine learning, says CIO Cris Ross.
LeanTaaS rolls out an AI autopilot in beta for its iQueue operations platforms, Carbon Health launches charting with artificial intelligence in its EHR and Clarify Health opens up Clara, its AI copilot, to select healthcare organizations.
