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AI & ML Intelligence
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.
And this year there will be a focus on continuing access to medications for mental health because mental health is a critical part of overall health, predicts a psychiatrist who practices telehealth.
Ram Rimal and Mike Plesh from UNC Health preview their HIMSS24 panel session, where they'll review how multiple stakeholders across UNC created a framework for adopting both vendor and in-house artificial intelligence applications.
The sector has strengths in cybersecurity and communications but lacks innovation, the Aged Care Industry Information Technology Council notes.