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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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Flipping the Script: A Design thinking Approach to Enhancing Interprofessional Collaboration in Primary Care [Research capacity building]

Annals of Family Medicine

Objective: To enhance interprofessional collaboration among primary care teams within family physician groups (FMGs) and to optimize care resources along clear and simple care trajectories. Setting: One multidisciplinary primary care team in the province of Quebec, Canada.

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Pilot Testing of the Treatment Burden Screening in Diabetes Tool in Primary Care [Multimorbidity]

Annals of Family Medicine

A tool to more efficiently relay points of patient-perceived treatment burden during a primary care visit may lead to more patient-centered care plans and improved outcomes. Setting: Two urban primary care clinics in Minnesota, USA. Study Design and Analysis: Single-arm pilot trial of adults with diabetes.

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Adoption, implementation, and impact of a Diabetes Navigator program based in primary care [Diabetes and endocrine disease]

Annals of Family Medicine

Context: Patients with diabetes who receive structured and integrated care have better control and outcomes; however, care may shift between multiple settings making coordination challenging. Outcome Measures: Number of patients engaged, resulting referrals, Navigator time per patient, and hemoglobin A1c measures across 2-years.

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Compass Rose for Generating Community-based Referrals via Epic: Best Practices and Lessons Learned [Social determinants and vulnerable populations]

Annals of Family Medicine

Population Studied: Three sites, representing 13 urban and rural primary care practices in Minnesota, Wisconsin, and Florida participated in the Compass Rose pilot. We had lower referral completions than expected because of the difficulty connecting with patients asynchronously.

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

Annals of Family Medicine

The American Academy of Pediatrics recommends universal screening; however studies have found inconsistencies in screening of FI, documentation of FI, and referral to appropriate resources. Population Studied Families of children ages 0-18yo at an urban pediatric primary care mobile medical clinic serving families in Washington, D.C.

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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

Setting or Dataset: Secondary data on social needs screening and referral generated through Epic. Population Studied: 13 urban and rural primary care practices located across Mayo Clinic sites in Minnesota, Wisconsin, and Florida. Study Design and Analysis: Descriptive analysis of secondary data.