Exam pearls: Examine carotids, superficial temporal arteries to prevent strokes
The physical exam has an important role to play, not instead of but in tandem with technology.
https://t.co/v8jXCKPg9p
Funding health care: A holiday tradition that's less than gratifying
A variety of health care-related funding measures come due during the end-of-year holidays, each requiring repeated annual congressional approvals. Column by ACP's @SEricksonACP
https://t.co/tvROcEOgom
Updating documentation for the Fifth Universal Definition of MI
The latest universal definition of myocardial infarction (MI) makes some substantial changes to the recommended terminology.
https://t.co/mqiNlLJ7XH
Fighting the fear of falling
Two fall-prevention researchers call for institutions to ease up on fear of patient falls and focus on the benefits of mobility.
https://t.co/BruFfaJstm
Framework offers best practices for using obesity medications in older patients
Risks such as loss of lean mass, falls, dehydration, polypharmacy interactions, and misalignment with patient goals need to be considered, says @AmerGeriatrics
https://t.co/cLeKpzpuBD
We are physicians, not chatbots
In the face of artificial intelligence, a physician's role is more important than ever, says @ACPIMPhysicians President Jan K. Carney, MD, MPH, MACP.
https://t.co/R4xQvrHqmO
The court ruling blocking the Medicaid medical frailty exemption is a win for patient access to care. The unnecessarily burdensome requirement to assess an individual patient’s degree of medical frailty threatens access to care for vulnerable individuals with serious illnesses and diverts physician time away from providing necessary medical care. ACP will continue to advocate for policies that make it easier for those who need Medicaid coverage to access it, rather than creating bureaucratic barriers for patients and physicians. https://t.co/B3PrfpcwX2
As #ArtificialIntelligence becomes increasingly embedded in clinical care, many systems rely on a "human-in-the-loop" model in which clinicians review and approve AI-generated recommendations. A new commentary suggests that this approach may be less effective than intended when clinicians face high workloads and limited time to review AI-generated outputs. The authors call for stronger oversight, testing, and monitoring of these technologies as their role in health care continues to expand. https://t.co/otWBJYvRMI @EricTopol@pranavrajpurkar