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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. I believe that as clinicians, educators and supervisors, we are called to guide this shift. Within minutes he integrated the latest findings into practical recommendations for the family.

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Transitional Care Management care team impact on no-show rates to hospital discharge appointments [Patient education/adherence]

Annals of Family Medicine

Setting: Wellstar MCG Health is a 520-bed tertiary hospital with a Family Medicine inpatient service and an attached Family Medicine resident continuity clinic. Population Studied: Inpatients were referred if they were being discharged from the Family Medicine service to home.

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Evaluating the Impact of a Longitudinal Clerkship Lecture on Medical Students Knowledge and Response to Human Trafficking [Education and training]

Annals of Family Medicine

Few medical schools include this topic in their curriculum, and it is not standardized in undergraduate medical education. Objective Assess how a lecture on HT during a 4-week family medicine (FM) clerkship impacts medical student knowledge, skills, and attitudes regarding HT.

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Effect of brief dermoscopy training on primary care providers' diagnostic accuracy on a test and in practice [Education and training]

Annals of Family Medicine

Study Design and analysis: Phase 1) Primary care providers completed a skin lesion identification test before and after brief dermoscopy training, and Phase 2) Diagnostic accuracy and biopsy and referral practices for the year prior to the course and the year following the course were compared.

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Optimizing Medical Legal Partnerships for sustainable public funding through the tele-legal model [Mixed methods research]

Annals of Family Medicine

Context: Medical legal partnerships (MLP) are an effective intervention for social determinants of health, like housing, education, and employment status. Setting or Dataset: Clinics: AF Williams Family Medicine, Lowry Internal Medicine; EPIC data; legal records. Intervention/Instrument: Legal-needs screening tool.

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Addressing diabetes management in the context of social needs: a qualitative study of primary care providers [Diabetes and endocrine disease]

Annals of Family Medicine

A recent review of national diabetes treatment guidelines recommended adjustments to DM to reduce financial strain (eg, selecting lower cost medications), as well as directly intervening in response to an identified social need (eg, referral to a community-based service). Setting: Ambulatory clinics (e.g.,

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Barriers to and Facilitators of Participant Engagement in a Multi-level Intervention for Type 2 Diabetes and Food Insecurity [Clinical trial]

Annals of Family Medicine

family medicine, general internal medicine, endocrinology) at an urban academic medical center in the Midwest. Interviews were transcribed and a deductive-dominant approach to thematic analysis was employed in line with a priori process evaluation constructs. Setting: Ambulatory clinics (e.g.,

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