Remove 2023 Remove Family Remove Family Medicine Remove Primary Care
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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. Three reasons why learning Artificial Intelligence in health care may be a responsibility and not an option: 1. Evidence‑informed care was literally at his fingertips.

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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. Setting Family medicine clinics in an academic medical center in southcentral Pennsylvania.

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Training a diverse physician workforce: a survey of alumni of a medical education program focused on underserved populations [Education and training]

Annals of Family Medicine

Context: Concerns about declining diversity among medical students have emerged due to the Supreme Court’s 2023 ruling against race-based affirmative action in college admissions. Data collection took place between June of 2023 and May of 2024. Family Medicine was the most common specialty among alumni respondents (29.9%).

Education 130
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Evaluation of Universal Food Insecurity Screening in the Primary Care Setting [Social determinants and vulnerable populations]

Annals of Family Medicine

Comparison of FI for paired patients in 2022 and 2023. Population Studied Families of children ages 0-18yo at an urban pediatric primary care mobile medical clinic serving families in Washington, D.C. Outcome Measures Percent eligible families that completed a food insecurity screening.

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The role of primary care teams in identifying modifiable risk factors for food insecurity in rural dwelling older adults [Screening, prevention, and health promotion]

Annals of Family Medicine

There is a gap in the literature on understanding experiences of food insecurity in rural dwelling older adults and the role primary care providers can play in systematically screening older adults for age related food issues. Data were analyzed using reflexive thematic analysis.

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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

However, uncertainties remain regarding the performance of these models compared to standard care, their generalizability and applicability in primary care settings. We searched seven databases from inception to May 2023. Setting or Dataset: Studies conducted in primary care settings were included.

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Collecting data on key social determinants of health in primary care: a multi-site implementation evaluation [Social determinants and vulnerable populations]

Annals of Family Medicine

Objective: To report implementation outcomes using a standardized approach and tool in a multi-site study of routine and systematic demographic and social needs data collection in primary care settings. Study Design and Analysis: Between Sept 2022-Oct 2023 we implemented the SPARK Tool at five primary care clinics.