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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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Exploring Primary Care Provider eConsult Utilization Trends [Health care services, delivery, and financing]

Annals of Family Medicine

Study Design and Analysis: This retrospective analysis of program data spans from 2018 through 2023. It includes templated eConsult exchange data extracted from the electronic health record. Intervention/Instrument: eConsult platform and electronic health record. Setting or Dataset: CUSOM and University Hospital.

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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. Study Design and Analysis: Survey of US family medicine (FM) residents.

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Episode 293 – Antiracism in Medicine Series – Episode 22 – Live from SGIM 2023: Best of Antiracism Research at the Society of General Internal Medicine’s 2023 Annual Meeting

The Clinical Problem Solvers

[link] CPSolvers: Anti-Racism in Medicine Series Episode 22 – Live from SGIM 2023: Best of Antiracism Research at the Society of General Internal Medicine’s 2023 Annual Meeting Show Notes by Alec J. Identify strategies to mitigate bias and stigma in the electronic health record as a trainee and medical practitioner.

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

Annals of Family Medicine

Study Design and Analysis Retrospective, longitudinal study using electronic health records. Population Studied Adult patients scheduled for in-person or telehealth visits between 01/2019-06/2023. Setting Family medicine clinics in an academic medical center in southcentral Pennsylvania.

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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

Study Design/Analysis: This cross-sectional study was conducted from September 2022 to April 2023. Setting/Dataset: 121,570 registered patients over 18 years of age with an email address available in their electronic medical record. 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. Descriptive analysis utilized primary legal record and secondary electronic health record sources. Nine focus groups were conducted and recorded, using semi-structured interviews.

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