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Physicians in ACOs Report Greater Documentation Burden

Physicians in ACOs Report Greater Documentation Burden
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National Bureau Of Economic Research , United States , College Park , San Francisco , Kaiser Permanente , Healthc Amst , Schulmank Association , American Medical Informatics Association , Incentive Program , Medstar Health Research Institute , Health Serv Res , Health Care Manage Rev , Stephensonj National Academy Of Medicine , Program Participation , National Electronic Health Records , American Medical Association , Health Forum , R Foundation For Statistical Computing , Health Affairs Forefront , Harvard Business School Institute For Strategy , University Of Maryland , University Of California , National Electronic Health Records Survey , Us Centers For Medicare Medicaid Services , Spec Issue , Burden Reduction ,

Generative AI predicts hospital admissions from ED visits

Generative AI predicts hospital admissions from ED visits
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United States , Shania Kennedy , Brendan Carr , Girishn Nadkarni , Eyal Klang , Arthurm Fishberg , Charles Bronfman Institute Of Personalized Medicine , Journal Of The American Medical Informatics Association , Division Of Data , Mount Sinai Health System , Generative Ai Research Program , Getty Images , Mount Sinai , American Medical Informatics , Digital Medicine , Icahn Mount Sinai , Charles Bronfman Institute , Personalized Medicine , System Chief , Chief Executive Officer , Mount Sinai Health ,

Mount Sinai: GPT-4 predicts ER admissions with minimal training

Mount Sinai: GPT-4 predicts ER admissions with minimal training
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United States , Journal Of The American Medical Informatics Association , Mount Sinai Health System , Mount Sinai , Icahn School , New York City Based Mount Sinai , American Medical Informatics ,

AI can help improve ER admission decisions, study finds

Generative artificial intelligence (AI), such as GPT-4, can help predict whether an emergency room patient needs to be admitted to the hospital even with only minimal training on a limited number of records, according to investigators at the Icahn School of Medicine at Mount Sinai. ....

United States , Eyal Klang , Benjamin Glicksberg , Arthurm Fishberg , Brendan Carr , Girishn Nadkarni , Journal Of The American Medical Informatics Association , Emergency Department , Division Of Data , Mount Sinai Health System , Icahn School Of Medicine At Mount Sinai , Charles Bronfman Institute Of Personalized Medicine , Generative Ai Research Program , Icahn School , American Medical Informatics Association , Digital Medicine , Icahn Mount , Icahn Mount Sinai , Charles Bronfman Institute , Personalized Medicine , System Chief , Chief Executive Officer , Mount Sinai Health , American Medical Informatics ,

Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act

Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act
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