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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). Objective: To synthesize data on the effectiveness, generalizability, and clinical relevance of ML models in detecting AFib cases using EHR in primary care settings. We searched seven databases from inception to May 2023.

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Profiling patterns of patient experiences of access to care and continuity at team-based primary healthcare clinics [Health care services, delivery, and financing]

Annals of Family Medicine

Objective: To identify different profiles of access to care and continuity experiences of patients registered at team-based primary healthcare clinics. Study Design/Analysis: This cross-sectional study was conducted from September 2022 to April 2023. Setting: 104 PHC clinics across Quebec, Canada.

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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.

Medical 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. The RF models had an AUROC of 0.87 for CA, 0.85 for NS, and 0.92

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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.

DO 130
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Nested order panels for primary care medication and laboratory orders: adoption and impact on ordering efficiency [Health care services, delivery, and financing]

Annals of Family Medicine

Context: Electronic health record (EHR) order preference lists and order sets potentially improve efficiency but have limited utility in complex primary care settings. Setting: Primary care clinics partnered with an academic health center. A one-time survey was also conducted. nurse practitioners and physician assistants).

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

Annals of Family Medicine

Study Design and Analysis We conducted a retrospective survey distributed electronically and securely among the graduating class of residents. Setting The project was conducted within a family medicine residency program in the Southwestern United States over the academic year 2023-2024.

Education 130