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Pajama Time: The Association of EHR Documentation Time with Family Medicine Resident Outcomes [Education and training]

Annals of Family Medicine

Context: Multiple studies have identified that working on the electronic health record (EHR) after clinic hours ("pajama time") is a source of burnout and decreasing professional satisfaction. Study Design and Analysis: Survey of US family medicine (FM) residents. Population Studied: PGY2 and above US FM residents.

DO 130
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Predicting Likelihood of Missed Appointments in Primary Care [Health care informatics]

Annals of Family Medicine

Objective To evaluate the association between patient, health system, geosocial, and environmental factors on the likelihood of MA in Family Medicine clinics. Study Design and Analysis Retrospective, longitudinal study using electronic health records.

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Resident Voices: Key Findings from Journal Club Surveys [Education and training]

Annals of Family Medicine

Last year, our Family Medicine Residency Program restructured the Journal Club to incorporate a more resident-driven approach. Study Design and Analysis We conducted a retrospective survey distributed electronically and securely among the graduating class of residents.

Education 130
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Machine learning models for atrial fibrillation detection in primary care using electronic health records: systematic review [Cardiovascular disease]

Annals of Family Medicine

Machine learning (ML) models offer potential for improved detection of AFib from electronic health records (EHR). We searched seven databases from inception to May 2023. Context: Atrial fibrillation (AFib) significantly impacts patient morbidity and mortality, despite existing screening practices.

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Optimizing Medical Legal Partnerships for sustainable public funding through the tele-legal model [Mixed methods research]

Annals of Family Medicine

Study Design and Analysis: Tele-legal services were provided by one full time poverty lawyer and paralegal January 2021-June 2023. Descriptive analysis utilized primary legal record and secondary electronic health record sources. Nine focus groups were conducted and recorded, using semi-structured interviews.

Medical 130
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AAA screening rates in Internal Medicine and Family Medicine at UNMC [Clinical research (other)]

Annals of Family Medicine

Study Design and Analysis: Retrospective chart search of the electronic medical records of a specific sub-group of patients at UNMC. Setting: Criteria Time Frame: 2013-01-01 to 2023-12-31. Number of patients who meet inclusion criteria at Family Medicine Clinics: 6,551 Patients. are Not Hispanic or Latino and 87.7%

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Artificial Intelligence in Health Care

Integrated Care News by CFHA

That small win reminded me that artificial intelligence is already shaping the way our patients (and our families) search for health advice. Bridging the 17‑Year Research–Practice Gap Implementation scientists estimate that it takes about seventeen years for new evidence to become routine care (Rubin, 2023). References Menchaca, J.