Home Research Research Library Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) 2020 Author(s) Bambekova, Pavela G, Liaw, Winston R, Phillips, Robert L, and Bazemore, Andrew W Topic(s) Education & Training, Role of Primary Care, and Achieving Health System Goals Keyword(s) Graduate Medical Education, Payment, Population Health, Prime, Quality Of Care, and Shortage Areas Volume 33(3):463-467 Source Journal of the American Board of Family Medicine Clinicians are concerned about their patients’ social determinants of health (SDH); yet, they are unsure how to effectively gather patient-level SDH data and intervene without adding to current administrative burdens. Designed properly, clinical registries offer solutions to integrate neighborhood SDH data with clinical data from electronic health records, enabling the understanding of community factors to guide patient care. Federal and state interest in adjusting reimbursements based on SDH further underscores the need for strategies that integrate SDH and clinical data. The Population Health Assessment Engine (PHATE) exemplifies a registry-based SDH data integration solution that adjusts payments, contributes to public health surveillance, organizes care around hot spots (gaps in quality or uncontrolled disease), assesses patient risk, and connects with community organizations. PHATE also permits residency training to meet community health competency milestones by incorporating the PHATE curriculum. These functions enhance value, and their utility in education and care delivery would benefit from further investigation. ABFM Research Read all 2022 Competencies for the Use of Artificial Intelligence in Primary Care Go to Competencies for the Use of Artificial Intelligence in Primary Care 2019 Prevalence and Factors Associated with Family Physicians Providing E-Visits Go to Prevalence and Factors Associated with Family Physicians Providing E-Visits 2019 PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION Go to PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION 2019 Experience of Family Physicians in Practice Transformation Networks Go to Experience of Family Physicians in Practice Transformation Networks
Author(s) Bambekova, Pavela G, Liaw, Winston R, Phillips, Robert L, and Bazemore, Andrew W Topic(s) Education & Training, Role of Primary Care, and Achieving Health System Goals Keyword(s) Graduate Medical Education, Payment, Population Health, Prime, Quality Of Care, and Shortage Areas Volume 33(3):463-467 Source Journal of the American Board of Family Medicine
ABFM Research Read all 2022 Competencies for the Use of Artificial Intelligence in Primary Care Go to Competencies for the Use of Artificial Intelligence in Primary Care 2019 Prevalence and Factors Associated with Family Physicians Providing E-Visits Go to Prevalence and Factors Associated with Family Physicians Providing E-Visits 2019 PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION Go to PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION 2019 Experience of Family Physicians in Practice Transformation Networks Go to Experience of Family Physicians in Practice Transformation Networks
2022 Competencies for the Use of Artificial Intelligence in Primary Care Go to Competencies for the Use of Artificial Intelligence in Primary Care
2019 Prevalence and Factors Associated with Family Physicians Providing E-Visits Go to Prevalence and Factors Associated with Family Physicians Providing E-Visits
2019 PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION Go to PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION
2019 Experience of Family Physicians in Practice Transformation Networks Go to Experience of Family Physicians in Practice Transformation Networks