Rural Health
Resources by Topic: AI
COVID-19 Risk Stratification among Older Adults: A Machine Learning Approach to Identify Personal and Health-Related Risk Factors
Examines risk perceptions and health behaviors related to COVID-19 to create a predictive model to classify individuals into risk categories. Analyzes individual features such as demographic variables, health conditions, adherence to public health guidelines, health literacy, and urbanicity.
Author(s): Arezoo Abasi, Seyed Abbas Motevalian, Haleh Ayatollahi
Citation: BMC Public Health 25, 2577
Date: 07/2025
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Examines risk perceptions and health behaviors related to COVID-19 to create a predictive model to classify individuals into risk categories. Analyzes individual features such as demographic variables, health conditions, adherence to public health guidelines, health literacy, and urbanicity.
Author(s): Arezoo Abasi, Seyed Abbas Motevalian, Haleh Ayatollahi
Citation: BMC Public Health 25, 2577
Date: 07/2025
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Innovative Rural Hospitals Think Beyond Tradition to Improve Access to Care
Provides examples of how rural hospitals are utilizing technology to improve access to care for their patients. Discusses artificial intelligence (AI), drone delivery of medicines, nurse-run telehealth hubs, and digital front doors.
Date: 04/2025
Sponsoring organization: American Hospital Association
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Provides examples of how rural hospitals are utilizing technology to improve access to care for their patients. Discusses artificial intelligence (AI), drone delivery of medicines, nurse-run telehealth hubs, and digital front doors.
Date: 04/2025
Sponsoring organization: American Hospital Association
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Machine Learning to Predict Dementia for American Indian and Alaska Native Peoples: A Retrospective Cohort Study
Describes a dementia risk prediction model for American Indian and Alaska Native (AI/AN) populations who use Tribal health services. Utilizes data from the Indian Health Service (IHS) National Data Warehouse to analyze dementia risk for 17,398 AI/AN adults, discussing health and demographic predictors of risk.
Author(s): Kayleen Ports, Jiahui Dai, Kyle Conniff, et al.
Citation: The Lancet Regional Health - Americas, 43, 101013
Date: 03/2025
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Describes a dementia risk prediction model for American Indian and Alaska Native (AI/AN) populations who use Tribal health services. Utilizes data from the Indian Health Service (IHS) National Data Warehouse to analyze dementia risk for 17,398 AI/AN adults, discussing health and demographic predictors of risk.
Author(s): Kayleen Ports, Jiahui Dai, Kyle Conniff, et al.
Citation: The Lancet Regional Health - Americas, 43, 101013
Date: 03/2025
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The State of Rural Healthcare: Research and Outlook for 2025
Presents results of a survey of 75 rural healthcare regarding their financial health and strategic priorities. Identifies the top challenges identified by the surveyed organizations. Discusses how providers are addressing strategic priorities in 2025, including cybersecurity and the adoption of digital and artificial intelligence (AI) tools. Requires name, email address, and organization information to download.
Date: 02/2025
Sponsoring organization: Wipfli, LLP
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Presents results of a survey of 75 rural healthcare regarding their financial health and strategic priorities. Identifies the top challenges identified by the surveyed organizations. Discusses how providers are addressing strategic priorities in 2025, including cybersecurity and the adoption of digital and artificial intelligence (AI) tools. Requires name, email address, and organization information to download.
Date: 02/2025
Sponsoring organization: Wipfli, LLP
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Large Language Models for Agricultural Injury Surveillance
Describes the use of large language models (LLMs) in automating a previously manual agricultural injury surveillance workflow. Discusses reliability, accuracy, costs, and remaining challenges.
Author(s): Jacob Muller, Daniel Petti, Changying Li, et al.
Citation: Safety, 11(1), 15
Date: 02/2025
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Describes the use of large language models (LLMs) in automating a previously manual agricultural injury surveillance workflow. Discusses reliability, accuracy, costs, and remaining challenges.
Author(s): Jacob Muller, Daniel Petti, Changying Li, et al.
Citation: Safety, 11(1), 15
Date: 02/2025
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Artificial Intelligence (AI) in Rural Health
Provides an overview of artificial intelligence (AI), applications of AI, and how AI can be used in healthcare. Discusses how AI can impact rural healthcare and considerations for AI use in healthcare.
Date: 12/2024
Sponsoring organization: National Consortium of Telehealth Resource Centers
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Provides an overview of artificial intelligence (AI), applications of AI, and how AI can be used in healthcare. Discusses how AI can impact rural healthcare and considerations for AI use in healthcare.
Date: 12/2024
Sponsoring organization: National Consortium of Telehealth Resource Centers
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2024 Nebraska Rural Poll Research Report: Artificial Intelligence
Analyzes 2023 Nebraska Rural Poll results of a survey of 1,010 rural Nebraskans regarding their use of and opinions on artificial intelligence (AI). Includes data on their perceptions of AI use in healthcare, personal well-being, workforce, and more.
Author(s): Heather Akin, Cheryl Burkhart-Kriesel, Mary Emery, et al.
Date: 12/2024
Sponsoring organization: University of Nebraska-Lincoln
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Analyzes 2023 Nebraska Rural Poll results of a survey of 1,010 rural Nebraskans regarding their use of and opinions on artificial intelligence (AI). Includes data on their perceptions of AI use in healthcare, personal well-being, workforce, and more.
Author(s): Heather Akin, Cheryl Burkhart-Kriesel, Mary Emery, et al.
Date: 12/2024
Sponsoring organization: University of Nebraska-Lincoln
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Clinician Voices on Ethics of LLM Integration in Healthcare: A Thematic Analysis of Ethical Concerns and Implications
Explores large language model (LLM) integration into healthcare. Analyzes 3,049 online clinician posts to examine themes such as communication, quality improvement, data use, ethical considerations, user experiences, LLM challenges specific to rural healthcare, and more.
Author(s): Tala Mirzaei, Leila Amini, Pouyan Esmaeilzadeh
Citation: BMC Medical Informatics and Decision Making, 24, 250
Date: 09/2024
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Explores large language model (LLM) integration into healthcare. Analyzes 3,049 online clinician posts to examine themes such as communication, quality improvement, data use, ethical considerations, user experiences, LLM challenges specific to rural healthcare, and more.
Author(s): Tala Mirzaei, Leila Amini, Pouyan Esmaeilzadeh
Citation: BMC Medical Informatics and Decision Making, 24, 250
Date: 09/2024
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2024 Public Health Informatics Profile: An Assessment of Informatics Capacity among Local Health Departments
Results of a national survey of local health departments (LHDs) on public health informatics challenges and opportunities. Provides data on informatics workforce, informatics infrastructure and use, data modernization, data systems and interoperability, and artificial intelligence (AI). Includes comparisons of small, medium, and large LHDs throughout.
Author(s): Krishna Patel, Meghan Shea, Gelila Tamrat, et al.
Date: 08/2024
Sponsoring organization: National Association of County and City Health Officials
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Results of a national survey of local health departments (LHDs) on public health informatics challenges and opportunities. Provides data on informatics workforce, informatics infrastructure and use, data modernization, data systems and interoperability, and artificial intelligence (AI). Includes comparisons of small, medium, and large LHDs throughout.
Author(s): Krishna Patel, Meghan Shea, Gelila Tamrat, et al.
Date: 08/2024
Sponsoring organization: National Association of County and City Health Officials
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Applying AI to Rural Health, with Jordan Berg
An episode of the Exploring Rural Health podcast featuring Jordan Berg, Principal Investigator for the National Telehealth Technology Assessment Resource Center. Focuses on applications of AI in rural healthcare, as well as how patient information in an AI system is safeguarded.
Date: 08/2024
Sponsoring organization: Rural Health Information Hub
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An episode of the Exploring Rural Health podcast featuring Jordan Berg, Principal Investigator for the National Telehealth Technology Assessment Resource Center. Focuses on applications of AI in rural healthcare, as well as how patient information in an AI system is safeguarded.
Date: 08/2024
Sponsoring organization: Rural Health Information Hub
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