Annals of internal medicine
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The Centers for Medicare & Medicaid Services Innovation Center (CMMI) has set the goal for 100% of traditional Medicare beneficiaries to be part of an accountable care relationship by 2030. Lack of meaningful financial incentives, intolerable or unpredictable risk, infrastructure costs, patient engagement, voluntary participation, and operational complexity have been noted by the provider and health care delivery community as barriers to participation or reasons for exiting programs. ⋯ Successful provider specialist integration into PB-TCOC models includes meaningful participation of specialists in achieving whole-person, high-value care where all providers are financially motivated to participate; there is unambiguous prospective attribution and clearly defined accountability for each participating party throughout the care journey or episode; there is a known care attribution transition accountability plan; there is actionable, transparent, and timely data available with appropriate data development and basic analytic costs covered; and there is advanced payment to the accountable person or entity for management of the care episode that is part of a longitudinal care plan. Payment models should be created to address the 7 challenges raised here if specialists are to be incented to join TCOC models that achieve CMMI's goal.
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Acute colonic diverticulitis is a gastrointestinal condition that is frequently encountered by primary care and emergency department practitioners, hospitalists, surgeons, and gastroenterologists. Clinical presentation ranges from mild abdominal pain to peritonitis with sepsis. ⋯ Medical and surgical treatment algorithms are evolving. This article provides an evidence-based, clinically relevant overview of the epidemiology, diagnosis, and treatment of acute diverticulitis.
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Practitioners who deliver enhanced empathy may improve patient satisfaction with care. Patient satisfaction is associated with positive patient outcomes ranging from medication adherence to survival. ⋯ Stoneygate Trust. (PROSPERO: CRD42023412981).
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Practitioners who deliver enhanced empathy may improve patient satisfaction with care. Patient satisfaction is associated with positive patient outcomes ranging from medication adherence to survival. ⋯ Stoneygate Trust. (PROSPERO: CRD42023412981).
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Large language models (LLMs) are artificial intelligence models trained on vast text data to generate humanlike outputs. They have been applied to various tasks in health care, ranging from answering medical examination questions to generating clinical reports. ⋯ This review, coupled with a tutorial, provides a comprehensive yet accessible overview of these areas with the aim of familiarizing health care professionals with the rapidly changing landscape of LLMs in medicine. Furthermore, the authors highlight active research areas in the field that promise to improve LLMs' usability in health care contexts.