Home Research Research Library Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health 2022 Author(s) Liaw, Winston R, Westfall, John M, Williamson, Tyler S, Jabbarpour, Yalda, and Bazemore, Andrew W Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Health Information Technology (HIT), and Quality Of Care Volume JMIR Medical Informatics Source JMIR Medical Informatics With conversational agents triaging symptoms, cameras aiding diagnoses, and remote sensors monitoring vital signs, the use of artificial intelligence (AI) outside of hospitals has the potential to improve health, according to a recently released report from the National Academy of Medicine. Despite this promise, the success of AI is not guaranteed, and stakeholders need to be involved with its development to ensure that the resulting tools can be easily used by clinicians, protect patient privacy, and enhance the value of the care delivered. A crucial stakeholder group missing from the conversation is primary care. As the nation’s largest delivery platform, primary care will have a powerful impact on whether AI is adopted and subsequently exacerbates health disparities. To leverage these benefits, primary care needs to serve as a medical home for AI, broaden its teams and training, and build on government initiatives and funding. ABFM Research Read all 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone 2024 Prevalence and Predictors of Burnout Among Resident Family Physicians Go to Prevalence and Predictors of Burnout Among Resident Family Physicians 2021 Implementing High-Quality Primary Care: Rebuilding the Foundation of Health Care Go to Implementing High-Quality Primary Care: Rebuilding the Foundation of Health Care 2021 Reenvisioning Family Medicine Residency Education Go to Reenvisioning Family Medicine Residency Education
Author(s) Liaw, Winston R, Westfall, John M, Williamson, Tyler S, Jabbarpour, Yalda, and Bazemore, Andrew W Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Health Information Technology (HIT), and Quality Of Care Volume JMIR Medical Informatics Source JMIR Medical Informatics
ABFM Research Read all 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone 2024 Prevalence and Predictors of Burnout Among Resident Family Physicians Go to Prevalence and Predictors of Burnout Among Resident Family Physicians 2021 Implementing High-Quality Primary Care: Rebuilding the Foundation of Health Care Go to Implementing High-Quality Primary Care: Rebuilding the Foundation of Health Care 2021 Reenvisioning Family Medicine Residency Education Go to Reenvisioning Family Medicine Residency Education
2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
2024 Prevalence and Predictors of Burnout Among Resident Family Physicians Go to Prevalence and Predictors of Burnout Among Resident Family Physicians
2021 Implementing High-Quality Primary Care: Rebuilding the Foundation of Health Care Go to Implementing High-Quality Primary Care: Rebuilding the Foundation of Health Care
2021 Reenvisioning Family Medicine Residency Education Go to Reenvisioning Family Medicine Residency Education