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Using data analytics for telehealth utilization: A case study in Arkansas.

Aysenur Betul Cengil1, Burak Eksioglu1, Sandra Eksioglu1

  • 1Department of Industrial Engineering, University of Arkansas, Fayetteville, AR, USA.

Journal of Telemedicine and Telecare
|March 8, 2023
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Broadband subscription and population density significantly impact telehealth use. Policymakers can boost telehealth adoption by investing in broadband, education, and computer access.

Keywords:
Healthcaredata analyticsdigital healthfeature importancerandom forest regressiontelehealth

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Area of Science:

  • Health Services Research
  • Health Informatics
  • Public Health Policy

Background:

  • Telehealth utilization surged during the COVID-19 pandemic.
  • Understanding factors influencing telehealth adoption is crucial for healthcare policy.
  • Previous research highlights telehealth's potential to improve healthcare access and efficiency.

Purpose of the Study:

  • To evaluate the impact of various demographic and socioeconomic factors on telehealth utilization.
  • To identify key drivers of telehealth use at the county level in Arkansas.
  • To provide evidence-based recommendations for policymakers to enhance telehealth adoption.

Main Methods:

  • A case study approach using data from Arkansas.
  • Implementation of data analytics techniques, including random forest regression.
  • Evaluation of 11 factors (5 demographic, 6 socioeconomic) influencing telehealth patient numbers.

Main Results:

  • Broadband subscription emerged as the most significant socioeconomic factor.
  • Population density was the most influential demographic factor.
  • Education level, computer use, and disability also showed considerable impact on telehealth utilization.

Conclusions:

  • Telehealth offers potential benefits such as improved doctor utilization and reduced waiting times.
  • Policymakers can strategically invest in factors like broadband, education, and computer access to increase telehealth adoption.
  • Targeted interventions focusing on key drivers can optimize telehealth service delivery in specific regions.