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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). Within minutes he integrated the latest findings into practical recommendations for the family. 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. The RF models had an AUROC of 0.87 for CA, 0.85

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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. Risk of bias was assessed with PROBAST tool and clinical applicability with MI-CLAIM checklist.

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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.

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Risks and Needs: Lessons Learned from Assessing Patients Willingness to Receive Help for Social Risks in Primary Care [Social determinants and vulnerable populations]

Annals of Family Medicine

Context: In May 2023, Mayo Clinic implemented a revised screening tool to assess social determinants of health (SDOH) for its patients. Population Studied: 13 urban and rural primary care practices located across Mayo Clinic sites in Minnesota, Wisconsin, and Florida.

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Feasibility of the Diabetes Self-Management Coaching Program for Individuals with Type 2 Diabetes in Primary Care. [Diabetes and endocrine disease]

Annals of Family Medicine

Context: The rampant rise in the prevalence of diabetes presents a public health burden and a challenge to the primary care setting. Diabetes Self-management Coaching is an emergent, client-centered, solution-focused approach to enhancing self-efficacy and self-care behavior.

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Assessment of Project ECHO(R) Opioid Use Disorder Sessions for Primary Care Teams [Education and training]

Annals of Family Medicine

Unfortunately, most individuals suffering from OUD do not have access to necessary care. While primary care (PC) settings have the potential to bridge this gap in care, many care teams lack the education and training required to effectively manage patients with OUD.