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Home Research Research Library Data Transformation to Advance AI/ML Research and Implementation in Primary Care Data Transformation to Advance AI/ML Research and Implementation in Primary Care 2025 Author(s) Tsai, Timothy, Lee, Julie J, Phillips, Robert L, and Lin, Steven Topic(s) Role of Primary Care, Achieving Health System Goals, and What Family Physicians Do Keyword(s) Health Information Technology (HIT), and Practice Innovations Volume Annals of Family Medicine Source Annals of Family Medicine Artificial intelligence and machine learning (AI/ML) in health care is accelerating at a breathtaking pace. As the largest health care delivery platform, primary care is where the power, opportunity, and future of AI/ML are most likely to be realized in the broadest and most ambitious scale. However, there is a relative lack of organized, open, large-scale primary care datasets to attract industry and academia in primary care–focused research and development. This article proposes a set of high-level considerations around the data transformation that is needed to enable the growth of AI/ML applications in primary care. These considerations call for automation of data collection, organization of fragmented data, identification of primary care–specific use cases, integration of AI/ML into human workflows, and surveillance for unintended consequences. By unlocking the power of its data, primary care can play a leading role in advancing health care AI/ML to support patients, clinicians, and the health of the nation. ABFM Research Read all 2015 More Comprehensive Care Among Family Physicians is Associated with Lower Costs and Fewer Hospitalizations Go to More Comprehensive Care Among Family Physicians is Associated with Lower Costs and Fewer Hospitalizations 2016 US family physicians’ intrauterine and implantable contraception provision: results from a national survey Go to US family physicians’ intrauterine and implantable contraception provision: results from a national survey 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 1987 Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations Go to Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations
Author(s) Tsai, Timothy, Lee, Julie J, Phillips, Robert L, and Lin, Steven Topic(s) Role of Primary Care, Achieving Health System Goals, and What Family Physicians Do Keyword(s) Health Information Technology (HIT), and Practice Innovations Volume Annals of Family Medicine Source Annals of Family Medicine
ABFM Research Read all 2015 More Comprehensive Care Among Family Physicians is Associated with Lower Costs and Fewer Hospitalizations Go to More Comprehensive Care Among Family Physicians is Associated with Lower Costs and Fewer Hospitalizations 2016 US family physicians’ intrauterine and implantable contraception provision: results from a national survey Go to US family physicians’ intrauterine and implantable contraception provision: results from a national survey 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 1987 Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations Go to Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations
2015 More Comprehensive Care Among Family Physicians is Associated with Lower Costs and Fewer Hospitalizations Go to More Comprehensive Care Among Family Physicians is Associated with Lower Costs and Fewer Hospitalizations
2016 US family physicians’ intrauterine and implantable contraception provision: results from a national survey Go to US family physicians’ intrauterine and implantable contraception provision: results from a national survey
2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research
1987 Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations Go to Pilot study using ‘dangerous answers’ as scoring technique on certifying examinations
