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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). However, uncertainties remain regarding the performance of these models compared to standard care, their generalizability and applicability in primary care settings.

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

Annals of Family Medicine

Objective: To determine how primary care providers (PCP) utilize the eConsult platform. 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. Population Studied: CUSOM PCPs.

Utilities 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.

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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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Patient and Caregiver Use of Patient Portal Features [Survey research or cross-sectional study]

Annals of Family Medicine

Context: Patient portals (PPs) are online healthcare platforms enabling patients access their electronic health records and offering different features to help patients manage their care such as viewing and entering health information, and permitting asynchronous communication between patients and their providers.

Patients 130
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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). Evidence‑informed care was literally at his fingertips. For AI in Primary Care, Start With the Problem. References Menchaca, J.

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Access to health care and services for the Deaf: A scoping review of reviews [Health care services, delivery, and financing]

Annals of Family Medicine

Reviews were identified through a search of scientific electronic databases: MEDLINE, CINAHL, PsycInfo, AMED, Healthcare Administration Database, ABI/INFORM Collection, Cochrane Database of Systematic Reviews, Epistemonikos, and Scopus. Results: Thirteen reviews published in English from 2010 to 2023 were included.

Finance 130