Aysenur Betul Cengil
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Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Aysenur Betul Cengil's research investigates the utilization and accessibility of telehealth services, particularly in relation to broadband availability in rural areas. Her work has examined patterns in telehealth resource use across different healthcare specialties, employing machine learning techniques for analysis. Cengil has also studied telehealth utilization in Arkansas, comparing pre- and post-pandemic insurance coverage and usage trends.
Her publications include analyses of consumer broadband measures and their representation of rural counties in the United States. Cengil's research contributes to understanding how technology, such as telehealth and data analytics, can be applied to healthcare delivery, with a focus on disparities and resource allocation. Her work has been supported by data analytics and machine learning approaches to identify patterns and trends in healthcare utilization.
Metrics
- h-index: 3
- Publications: 6
- Citations: 18
Selected Publications
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Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties (2025)
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Poor Representation of Rural Counties of the United States in Some Measures of Consumer Broadband (2024)
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Statistical Analysis of Telehealth Use and Pre- and Postpandemic Insurance Coverage in Selected Health Care Specialties in a Large Health Care System in Arkansas: Comparative Cross-Sectional Study (2024)
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Using data analytics for telehealth utilization: A case study in Arkansas (2023)
Collaboration Network
Top Collaborators
- Poor Representation of Rural Counties of the United States in Some Measures of Consumer Broadband
- Statistical Analysis of Telehealth Use and Pre- and Postpandemic Insurance Coverage in Selected Health Care Specialties in a Large Health Care System in Arkansas: Comparative Cross-Sectional Study
- Using data analytics for telehealth utilization: A case study in Arkansas
- Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
- Poor Representation of Rural Counties of the United States in Some Measures of Consumer Broadband
- Statistical Analysis of Telehealth Use and Pre- and Postpandemic Insurance Coverage in Selected Health Care Specialties in a Large Health Care System in Arkansas: Comparative Cross-Sectional Study
- Using data analytics for telehealth utilization: A case study in Arkansas
- Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
- Statistical Analysis of Telehealth Use and Pre- and Postpandemic Insurance Coverage in Selected Health Care Specialties in a Large Health Care System in Arkansas: Comparative Cross-Sectional Study
- Using data analytics for telehealth utilization: A case study in Arkansas
- Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
- Statistical Analysis of Telehealth Use and Pre- and Postpandemic Insurance Coverage in Selected Health Care Specialties in a Large Health Care System in Arkansas: Comparative Cross-Sectional Study
- Using data analytics for telehealth utilization: A case study in Arkansas
- Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
- Poor Representation of Rural Counties of the United States in Some Measures of Consumer Broadband
- Statistical Analysis of Telehealth Use and Pre- and Postpandemic Insurance Coverage in Selected Health Care Specialties in a Large Health Care System in Arkansas: Comparative Cross-Sectional Study
- Using data analytics for telehealth utilization: A case study in Arkansas
- Poor Representation of Rural Counties of the United States in Some Measures of Consumer Broadband
- Poor Representation of Rural Counties of the United States in Some Measures of Consumer Broadband
- Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
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