Remove Appointment Remove Complication Remove Primary Care Remove Utilities
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Using Machine Learning to advance primary care: an example of predictive modeling of hypertension risk to impact outcomes [Hypertension]

Annals of Family Medicine

Context: While hypertension is the most common chronic disease cared for during adult primary care visits, it is challenging to know which hypertensive patients have the highest risk of cardiovascular complications in the future. of those patients have 1-3 primary care visits per year.

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RCT of Palliative Care for Heart Failure and Lung Disease: David Bekelman and Lyndsay DeGroot

GeriPal

David: People with these illnesses suffer from persistent symptoms, poor quality of life, depression, anxiety, despite all the great things we do and all our colleagues in those specialties and in primary care and geriatrics. David: We used the VA specific care assessment needs score, which- Eric: Oh, the CAN score. David: Yeah.

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PC Trials at State of Science: Tom LeBlanc, Kate Courtright, & Corita Grudzen

GeriPal

People were not as interested in outpatient palliative care. We put a couple extra things in place to really try to reschedule appointments, and this was telehealth. We don’t have enough outpatient palliative care. It’s complicated because right now there’s no mechanism other than cost avoidance.