Rural Health
Resources by Topic: AI
Understanding Artificial Intelligence and How It Can Be Used in Transit
Discusses the use of artificial intelligence (AI) in transit agencies. Includes the results of a survey among 24 rural, tribal, and other transit agencies about their use of AI, potential uses of AI, regulations, and potential funding sources. Offers a 6-step process for implementation following best practices.
Date: 04/2026
Sponsoring organization: National Rural Transit Assistance Program
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Discusses the use of artificial intelligence (AI) in transit agencies. Includes the results of a survey among 24 rural, tribal, and other transit agencies about their use of AI, potential uses of AI, regulations, and potential funding sources. Offers a 6-step process for implementation following best practices.
Date: 04/2026
Sponsoring organization: National Rural Transit Assistance Program
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Advancing Technology Innovation through the Rural Health Transformation Program
Identifies common themes across Rural Health Transformation Program (RHTP) plans related to proposed health technology initiatives. Covers the information technology infrastructure, telehealth and remote patient monitoring, artificial intelligence, and catalyst funds and pilot programs.
Author(s): Daisy Kim, Maya Sandalow
Date: 03/2026
Sponsoring organization: Bipartisan Policy Center
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Identifies common themes across Rural Health Transformation Program (RHTP) plans related to proposed health technology initiatives. Covers the information technology infrastructure, telehealth and remote patient monitoring, artificial intelligence, and catalyst funds and pilot programs.
Author(s): Daisy Kim, Maya Sandalow
Date: 03/2026
Sponsoring organization: Bipartisan Policy Center
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Multicounty Outbreak of Salmonella Agbeni Linked to Ice in a Cooler at a County Fair — Illinois, August 2024
Reports on a salmonella outbreak in Illinois that originated at a rural county fair. Describes how the outbreak was identified by the county sheriff during jury screening due to many in the jury pool being ill. Mentions the use of AI for hypothesis generation as a useful approach in this rural setting for situational awareness and early case finding.
Author(s): Katherine E. Houser
Citation: MMWR (Morbidity and Mortality Weekly Report), 75(7), 93-97
Date: 02/2026
Sponsoring organization: Centers for Disease Control and Prevention
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Reports on a salmonella outbreak in Illinois that originated at a rural county fair. Describes how the outbreak was identified by the county sheriff during jury screening due to many in the jury pool being ill. Mentions the use of AI for hypothesis generation as a useful approach in this rural setting for situational awareness and early case finding.
Author(s): Katherine E. Houser
Citation: MMWR (Morbidity and Mortality Weekly Report), 75(7), 93-97
Date: 02/2026
Sponsoring organization: Centers for Disease Control and Prevention
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Closing the Digital Divide: AI Governance for Rural Hospitals
Explores how rural healthcare leaders can design artificial intelligence (AI) governance frameworks that reflect the realities of rural care. Summarizes a discussion among rural healthcare leaders regarding their experiences with AI governance and identifies 7 best practices.
Date: 2026
Sponsoring organizations: American Hospital Association, Microsoft
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Explores how rural healthcare leaders can design artificial intelligence (AI) governance frameworks that reflect the realities of rural care. Summarizes a discussion among rural healthcare leaders regarding their experiences with AI governance and identifies 7 best practices.
Date: 2026
Sponsoring organizations: American Hospital Association, Microsoft
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Health Care Artificial Intelligence Toolkit
Guide designed to help community health clinics and rural hospitals navigate information regarding artificial intelligence (AI) in healthcare. Includes resources on foundational considerations, governance for AI applications, and steps to assess and mitigate discriminatory impacts of AI systems in healthcare. Includes an AI tool vendor evaluation checklist for community health clinics and Critical Access Hospitals (CAHs).
Date: 2026
Sponsoring organization: California Telehealth Resource Center
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Guide designed to help community health clinics and rural hospitals navigate information regarding artificial intelligence (AI) in healthcare. Includes resources on foundational considerations, governance for AI applications, and steps to assess and mitigate discriminatory impacts of AI systems in healthcare. Includes an AI tool vendor evaluation checklist for community health clinics and Critical Access Hospitals (CAHs).
Date: 2026
Sponsoring organization: California Telehealth Resource Center
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Predictors of Rural Hospital Closures in the United States: A Systematic Review and Call for AI-Driven Early Warning Systems
Examines financial, workforce, policy, economic, market, and demographic factors related to rural hospital closures and the development of AI warning systems based on these factors. Analyzes studies, published between 2013-2024, on rural hospital closures to identify closure predictors and discusses the creation of tools that may assist in identifying hospital distress, allowing stakeholders to intervene in a timely way.
Author(s): Kiruthika Balakrishnan, Zhi Li, Hana E. Hinkle, et al.
Citation: BMC Health Services Research, 26, 86
Date: 12/2025
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Examines financial, workforce, policy, economic, market, and demographic factors related to rural hospital closures and the development of AI warning systems based on these factors. Analyzes studies, published between 2013-2024, on rural hospital closures to identify closure predictors and discusses the creation of tools that may assist in identifying hospital distress, allowing stakeholders to intervene in a timely way.
Author(s): Kiruthika Balakrishnan, Zhi Li, Hana E. Hinkle, et al.
Citation: BMC Health Services Research, 26, 86
Date: 12/2025
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Gaps in Artificial Intelligence Research for Rural Health in the United States: A Scoping Review
Presents a scoping review exploring the extent of research on artificial intelligence (AI) in healthcare in rural communities. Discusses the application of AI in rural U.S. healthcare and challenges that limit the development, implementation, or evaluation of AI in the rural areas.
Author(s): Katherine E. Brown, Sharon E. Davis
Citation: Journal of the American Medical Informatics Association
Date: 11/2025
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Presents a scoping review exploring the extent of research on artificial intelligence (AI) in healthcare in rural communities. Discusses the application of AI in rural U.S. healthcare and challenges that limit the development, implementation, or evaluation of AI in the rural areas.
Author(s): Katherine E. Brown, Sharon E. Davis
Citation: Journal of the American Medical Informatics Association
Date: 11/2025
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Targeted Nursing Interventions for Improving Stroke Care and Outcomes in the Rural Setting: A Scientific Statement From the American Heart Association
Discusses opportunities and continuing challenges in the use of service delivery models and technological innovations to support accessible and high-quality nurse-delivered stroke care in rural settings. Covers topics including telemedicine, artificial intelligence, nursing workforce education, data use, and more.
Author(s): Renee Colsch, Wendy Dusenbury, Michelle Camicia, et al.
Citation: Stroke, 57(1), e45-e57
Date: 10/2025
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Discusses opportunities and continuing challenges in the use of service delivery models and technological innovations to support accessible and high-quality nurse-delivered stroke care in rural settings. Covers topics including telemedicine, artificial intelligence, nursing workforce education, data use, and more.
Author(s): Renee Colsch, Wendy Dusenbury, Michelle Camicia, et al.
Citation: Stroke, 57(1), e45-e57
Date: 10/2025
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Hospital Trends in the Use, Evaluation, and Governance of Predictive AI, 2023-2024
Describes trends in the foundational use, evaluation, and governance of predictive artificial intelligence (AI) in hospitals using data from the 2023 and 2024 American Hospital Association (AHA) Information Technology (IT) supplement. Presents data on the differences in acute care hospitals' use of predictive AI by hospital size, CAH status, rural/urban location, independent/system affiliation, and electronic health record (EHR) vendor.
Date: 09/2025
Sponsoring organization: Office of the National Coordinator for Health Information Technology
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Describes trends in the foundational use, evaluation, and governance of predictive artificial intelligence (AI) in hospitals using data from the 2023 and 2024 American Hospital Association (AHA) Information Technology (IT) supplement. Presents data on the differences in acute care hospitals' use of predictive AI by hospital size, CAH status, rural/urban location, independent/system affiliation, and electronic health record (EHR) vendor.
Date: 09/2025
Sponsoring organization: Office of the National Coordinator for Health Information Technology
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Machine Learning to Evaluate the Effects of Non-Clinical Social Determinant Features in Predicting Colorectal Cancer Mortality in a Medically Underserved Appalachian Population
Examines colorectal cancer (CRC) survival rates in rural Appalachia and the related impact of demographic, clinical, and social determinant of health (SDOH) factors. Utilizes machine learning (ML) models to analyze data from Appalachian cancer centers and examines what factors contribute most to CRC survival in Appalachia. Discusses the impact of including SDOH in ML prediction models and implications for further CRC research.
Author(s): Aisha Montgomery, Ravi Vadapalli, Frank A. Dinenno, et al.
Citation: Scientific Reports, 15, 25781
Date: 07/2025
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Examines colorectal cancer (CRC) survival rates in rural Appalachia and the related impact of demographic, clinical, and social determinant of health (SDOH) factors. Utilizes machine learning (ML) models to analyze data from Appalachian cancer centers and examines what factors contribute most to CRC survival in Appalachia. Discusses the impact of including SDOH in ML prediction models and implications for further CRC research.
Author(s): Aisha Montgomery, Ravi Vadapalli, Frank A. Dinenno, et al.
Citation: Scientific Reports, 15, 25781
Date: 07/2025
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