research Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination Read Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
post President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty Read President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty
post “Family Medicine Was All I Ever Wanted to Do” Dr. Phillip Wagner Read “Family Medicine Was All I Ever Wanted to Do”
Home Research Research Library Expansion of coverage under the Patient Protection and Affordable Care Act and primary care utilization Competencies for the Use of Artificial Intelligence in Primary Care 2022 Author(s) Liaw, Winston R, Kueper, Jacqueline K, Lin, Steven, Bazemore, Andrew W, and Kakadiaris, Ioannis A Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Cost Of Care, Health Information Technology (HIT), Physician Experience (Burnout / Satisfaction), and Quality Of Care Volume Annals of Family Medicine Source Annals of Family Medicine The artificial intelligence (AI) revolution has arrived for the health care sector and is finally penetrating the far-reaching but perpetually underfinanced primary care platform. While AI has the potential to facilitate the achievement of the Quintuple Aim (better patient outcomes, population health, and health equity at lower costs while preserving clinician wellbeing), inattention to primary care training in the use of AI-based tools risks the opposite effects, imposing harm and exacerbating inequalities. The impact of AI-based tools on these aims will depend heavily on the decisions and skills of primary care clinicians; therefore, appropriate medical education and training will be crucial to maximize potential benefits and minimize harms. To facilitate this training, we propose 6 domains of competency for the effective deployment of AI-based tools in primary care: (1) foundational knowledge (what is this tool?), (2) critical appraisal (should I use this tool?), (3) medical decision making (when should I use this tool?), (4) technical use (how do I use this tool?), (5) patient communication (how should I communicate with patients regarding the use of this tool?), and (6) awareness of unintended consequences (what are the “side effects” of this tool?). Integrating these competencies will not be straightforward because of the breadth of knowledge already incorporated into family medicine training and the constantly changing technological landscape. Nonetheless, even incremental increases in AI-relevant training may be beneficial, and the sooner these challenges are tackled, the sooner the primary care workforce and those served by it will begin to reap the benefits. Read More ABFM Research Read all 2024 Certifying Boards Can Provide Knowledge that Shapes Policy Go to Certifying Boards Can Provide Knowledge that Shapes Policy 1990 Expanding the family practice model Go to Expanding the family practice model 2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) 2021 Life in Private Practice Go to Life in Private Practice
Author(s) Liaw, Winston R, Kueper, Jacqueline K, Lin, Steven, Bazemore, Andrew W, and Kakadiaris, Ioannis A Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Cost Of Care, Health Information Technology (HIT), Physician Experience (Burnout / Satisfaction), and Quality Of Care Volume Annals of Family Medicine Source Annals of Family Medicine
ABFM Research Read all 2024 Certifying Boards Can Provide Knowledge that Shapes Policy Go to Certifying Boards Can Provide Knowledge that Shapes Policy 1990 Expanding the family practice model Go to Expanding the family practice model 2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) 2021 Life in Private Practice Go to Life in Private Practice
2024 Certifying Boards Can Provide Knowledge that Shapes Policy Go to Certifying Boards Can Provide Knowledge that Shapes Policy
2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE)
