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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

Context: Atrial fibrillation (AFib) significantly impacts patient morbidity and mortality, despite existing screening practices. 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.

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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. Participating clinic sites offered convenience sample frame, patients with legal needs were identified through universal and secondary screening approach.

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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. No study has looked at its association with resident outcomes during training. Population Studied: PGY2 and above US FM residents. Overall, 33.6%

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

Annals of Family Medicine

The USPSTF recommends 1-time screening for AAA with ultrasonography in men aged 65 to 75 years who have ever smoked. (B 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. cm or larger.

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Tobacco Use Screening In Community-Based Primary Care Clinics By Visit Modality During The Covid-19 Pandemic [Smoking cessation]

Annals of Family Medicine

In the years following the PHE, rates of screening for tobacco use decreased, particularly during telehealth visits. It is unknown if these changes in screening persist. Setting or Dataset: Electronic health record data from 541 community-based clinics across 17 states in the OCHIN network from 01/01/2019-5/31/2023.

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Artificial Intelligence in Health Care

Integrated Care News by CFHA

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). Reclaiming Time and Attention Primary care professionals may log more than eleven hours a day, over half of it in the electronic health record (Menchaca, 2025).

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Position Statement on Measurement Based Care

Integrated Care News by CFHA

MBC is presented not simply as data collection, but as a dynamic, evidence-based clinical process that enhances outcomes, promotes equity, and strengthens team-based care. MBC supports optimal clinical practice, demonstrates the value of integrated care teams, and improves outcomes. What is MBC? 3, 4) Why is MBC important? 3, 5, 6) b.