Corey J. Hayes profile photo

Corey J. Hayes

Associate Professor

Last publication 2026 Last refreshed 2026-05-23

faculty

Biomedical Informatics, College of Medicine

cjhayes@uams.edu

17 h-index 114 pubs 2,241 cited

Biography and Research Information

OverviewAI-generated summary

Corey J. Hayes, Associate Professor in Biomedical Informatics at the University of Arkansas for Medical Sciences, researches the intersection of technology and healthcare delivery. His work includes investigations into the utilization of remote patient monitoring and telehealth services within the U.S. healthcare system. Hayes has examined factors associated with telehealth use among adults, including its application during the COVID-19 pandemic and its impact on Medicare beneficiaries and pregnant individuals. He also studies trends in substance use, including demographic shifts in methamphetamine administration routes and predictors of overdose following opioid prescriptions. Additionally, his research encompasses the analysis of caregiver burden as expressed in social media discussions and the association of remote patient monitoring with health outcomes in hypertensive patients. Hayes has authored over 100 publications and has an h-index of 17, with significant collaborative work with researchers at his institution.

Metrics

  • h-index: 17
  • Publications: 114
  • Citations: 2,241

Selected Publications

  • Exploring telehealth adoption and financial outcomes for rural hospitals during the COVID‐19 public health emergency (2025)
    3 citations DOI OpenAlex
  • Trends in US State and Territory Participation in Interstate Healthcare Licensure Compacts (2015-2024) (2025)
    3 citations DOI OpenAlex
  • Facilitators and barriers to implementing the Project ECHO model: perspectives of 8 ECHO implementation teams (2025)
    2 citations DOI OpenAlex
  • Financial Performance of Hospital Telehealth Adopters, Nonadopters, and Switchers: A Rural-Urban Comparison (2025)
    1 citation DOI OpenAlex
  • Poor Representation of Rural Counties of the United States in Some Measures of Consumer Broadband (2024)
    6 citations DOI OpenAlex
  • Medications for opioid use disorder: Predictors of early discontinuation and reduction of overdose risk in US military veterans by medication type (2024)
    5 citations DOI OpenAlex
  • 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)
    1 citation DOI OpenAlex
  • Willingness to pay for internet speed and quality (2024)
    9 citations DOI OpenAlex
  • Average Daily Dose Trajectories for Episodes of Buprenorphine Treatment for Opioid Use Disorder. (2024)
    2 citations DOI OpenAlex
  • Worsening trends in the frequency of methamphetamine and other stimulant use between treatment admission and discharge (2024)
    1 citation DOI OpenAlex
  • Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder (2024)
    1 citation DOI OpenAlex
  • Telehealth Utilization for Opioid Use Disorder: A Nationwide Analysis Before and After the COVID-19 Public Health Emergency Declaration (2024)
    1 citation DOI OpenAlex
  • Telehealth and Willingness to Pay for Internet Services (2024)
    3 citations DOI OpenAlex
  • The association between rurality, dual Medicare/Medicaid eligibility and chronic conditions with telehealth utilization: An analysis of 2019–2020 national Medicare claims (2024)
    3 citations DOI OpenAlex
  • Opioid therapy trajectories of patients with chronic non-cancer pain over 1 year of follow-up after initiation of short-acting opioid formulations (2024)
    3 citations DOI OpenAlex

View all publications on OpenAlex →

Grants & Funding

  • Impact of Opioid Dosing Strategies on Pain Scores and Adverse or Unintended Clinical Outcomes NIH Principal Investigator
  • Data to Clinical Action: Using Predictive Analytics to Improve Care of Veterans with Opioid Use Disorder NIH Principal Investigator
  • CARES Project - Hayes Food & Drug Administration - Pass Through: Chicago Association for Research and Education in Science Principal Investigator
  • Data to Clinical Action: Using Predictive Analytics to Improve Care of Veterans with Opioid Use Disorder VA HSR&D Principle Investigator
  • DAABHS SOR III OPAL Narcan Drug Project Substance Abuse & Mental Health Services Administration - Pass Through: Arkansas Department of Human Services Principal Investigator
  • Ohio Valley Node of the Clinical Trials Network NIH/Nat. Inst. on Drug Abuse - Pass Through: University of Cincinnati Co-Investigator
  • No FP attached UAMS Intramural Grant (CTSA) Principal Investigator
  • CARES Project - Hayes Food & Drug Administration - Pass Through: Chicago Association for Research and Education in Science Principal Investigator

Collaboration Network

116 Collaborators 30 Institutions 2 Countries

Top Collaborators

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