Rural Health
Resources by Topic: AI
Analysis of Wastewater Samples to Explore Community Substance Use in the United States: Pilot Correlative and Machine Learning Study
Analyzed wastewater samples from 12 locations in the United States to determine feasibility in using wastewater surveillance for monitoring substance use. Discusses using machine learning as a public health tool for analyzing data to identify communities with similar resource needs. Includes rural-specific concerns.
Author(s): Marie A. Severson, Sathaporn Onanong, Alexandra Dolezal, et al.
Citation: JMIR Formative Research, 7(2023), 45353
Date: 2023
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Analyzed wastewater samples from 12 locations in the United States to determine feasibility in using wastewater surveillance for monitoring substance use. Discusses using machine learning as a public health tool for analyzing data to identify communities with similar resource needs. Includes rural-specific concerns.
Author(s): Marie A. Severson, Sathaporn Onanong, Alexandra Dolezal, et al.
Citation: JMIR Formative Research, 7(2023), 45353
Date: 2023
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Using Machine Learning to Identify Factors Associated with Practice Location of the Healthcare Workforce
Results of a study applying machine learning techniques to identify factors predicting the decision of physicians, nurses, dentists, and pharmacists to practice in a rural area. Uses data sets collected by the Utah Medical Education Council in 2014, 2016, and 2017. Features statistics with breakdowns by rural and non-rural location.
Author(s): Jerry Bounsanga, Martin S. Lipsky, Eric S. Hon, et al.
Citation: Rural and Remote Health, 22(1), 7050
Date: 02/2022
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Results of a study applying machine learning techniques to identify factors predicting the decision of physicians, nurses, dentists, and pharmacists to practice in a rural area. Uses data sets collected by the Utah Medical Education Council in 2014, 2016, and 2017. Features statistics with breakdowns by rural and non-rural location.
Author(s): Jerry Bounsanga, Martin S. Lipsky, Eric S. Hon, et al.
Citation: Rural and Remote Health, 22(1), 7050
Date: 02/2022
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Heartland Telehealth ECHO Series
A Project ECHO (Extension for Community Healthcare Outcomes) series focused on providing access to specialty care expertise by connecting healthcare providers to specialist teams via videoconferencing. Covers a wide array of topics such as clinician burnout, artificial intelligence (AI), effective billing strategies, and more.
Sponsoring organization: Heartland Telehealth Resource Center
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A Project ECHO (Extension for Community Healthcare Outcomes) series focused on providing access to specialty care expertise by connecting healthcare providers to specialist teams via videoconferencing. Covers a wide array of topics such as clinician burnout, artificial intelligence (AI), effective billing strategies, and more.
Sponsoring organization: Heartland Telehealth Resource Center
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