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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. Our Patients Are Already Using AI Many people now ask their first health question to a chatbot rather than to a clinician. Annals of Family Medicine , 23(1), 5–6.

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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

Context: The Transitional Care Management (TCM) clinic visit is a uniquely billed visit type to review a recently discharged patient’s hospital course, reconcile medications, and continue ongoing workup. Objective: Our objective was to improve the TCM clinic no-show rate and thereby improve patient outcomes.

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Electronic Health Record Use and Patient-Centredness [Education and training]

Annals of Family Medicine

Context: Large-scale electronic health record (EHR) programs have reported a number of issues to their implementation in primary care including physician patient-centredness and clinical performance. Intervention: Participants each completed two simulated patient scenarios with instructions to document their encounters in the EHR.

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Predicting Likelihood of Missed Appointments in Primary Care [Health care informatics]

Annals of Family Medicine

Despite efforts to improve patient-clinician relationships, access to care, and healthcare workflows, annual rates of missed appointments (MA) in the U.S Objective To evaluate the association between patient, health system, geosocial, and environmental factors on the likelihood of MA in Family Medicine clinics.

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AAA screening rates in Internal Medicine and Family Medicine at UNMC [Clinical research (other)]

Annals of Family Medicine

Study Design and Analysis: Retrospective chart search of the electronic medical records of a specific sub-group of patients at UNMC. Number of patients who meet inclusion criteria at Family Medicine Clinics: 6,551 Patients. Setting: Criteria Time Frame: 2013-01-01 to 2023-12-31. are White or Caucasian.

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Implementation of a novel linkage of primary care electronic medical record data with hospital data in South Eastern Ontario [Big data]

Annals of Family Medicine

Objectives: To link primary care electronic medical record (EMR) data with community and hospital data and to test the utility of the merged dataset through a targeted quality improvement (QI) intervention among high-risk patients with chronic obstructive pulmonary disease (COPD). Risk factors (i.e.,

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

Annals of Family Medicine

Participating clinic sites offered convenience sample frame, patients with legal needs were identified through universal and secondary screening approach. Descriptive analysis utilized primary legal record and secondary electronic health record sources. Nine focus groups were conducted and recorded, using semi-structured interviews.

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