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10:00 am |
February 09, 2024
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10:00 am |
February 09, 2024
How healthcare organizations are implementing AI/ML tools.
Even the best algorithm could still need months to verify its performance, a healthcare systems expert says. So IT leaders should ensure they budget for the training process whenever they evaluate any artificial intelligence technology.
Researchers recognized Epic, athenahealth, Impact Advisors, Evergreen, Chartis and others for notable performances based on customer experience feedback from this past year.
AR and other immersive virtual experiences hold huge promise – enabling shorter and more streamlined training periods, more satisfied clinicians and "invigorated learning environments," MGB innovation leaders will show at HIMSS24.
Large language models can provide a big boost here for providers, says the CEO of Medicomp. But algorithms should be trained on hierarchical condition categories for risk adjustment – and challenges with data quality and bias need addressing.
A decade ago, malicious insiders sold patient health data to an identity theft crime ring and put the nonprofit provider into a HIPAA investigation. OCR reminds health systems that they have a giant target – no matter their size or stature.
Remote Patient Monitoring
The health system's medical director will offer more perspective on how remote patient monitoring is helping, including enabling an adherence rate of 80% to daily vitals, at HIMSS24.
The agency seeks to use extended reality and digital therapeutics to create healing "journeys" for aging Vietnam veterans that could improve their relationships with caregivers.
It is the only hospital in the country currently validated at this level.
The National Institutes of Health may seek as much as $200 million to acquire a new electronic health record that does not depend on institutional knowledge to maintain – and can handle continuous machine learning validation.