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  1. University of Arkansas for Medical Sciences
  2. Fay W. Boozman College of Public Health
  3. People
  4. Mandana Rezaeiahari, Ph.D.

Mandana Rezaeiahari, Ph.D.

Associate Professor
Location: RAHN 2220
Phone: 501-320-7597
Email: mrezaeiahari@uams.edu
 

Education

Ph.D. – Industrial & Systems Engineering, SUNY at Binghamton
M.S. – Industrial Engineering, University of Science and Culture
B.S. – Industrial Engineering, University of Science and Culture, cum laude

Areas of Expertise

Predictive Analytics
Healthcare Operations Management
Healthcare Analytics

Introduction

Dr. Rezaeiahari directs the Certificate and MS in Healthcare Data Analytics. She also focuses on analytical tools and large secondary data to enhance health outcomes and address health disparities.

Credentials, Accreditations and Awards

2019 Outstanding Mentor during the Quality Improvement for Advanced Learners Program (QIALP), Office of Interprofessional Education, UAMS

2015 Alpha Pi Mu Industrial Engineering Honor Society (APMIEHS) Binghamton Chapter

Teaching Focus

Dr. Rezaeiahari enjoys teaching public health researchers, practitioners, clinicians, and other healthcare professionals to understand and apply quantitative risk techniques (i.e., decision tree analysis), as well as predictive analytics methods (i.e., data mining and time series forecasting algorithms.)

Research Overview

Dr. Rezaeiahari’s research focuses on operations research and data analytics, utilizing large administrative claims datasets to improve healthcare delivery systems. Her work includes applying Bayesian network and data mining algorithms to investigate racial and ethnic disparities in health outcomes. She is also a certified Lean Six Sigma Black Belt and a member of Alpha Pi Mu.

Recent Books or Publications

  1. Rezaeiahari M, Brown CC, Schmit T, Tilford JM. Economic Report of General Inpatient Hospice in an Academic Medical Center. Am J Hosp Palliat Care. 2024 Jun; 41(7):800-804. PMID: 37772492.
  2. Rezaeiahari M, Brown CC, Eyimina A, Perry TT, Goudie A, Boyd M, Tilford JM, Jefferson AA. Predicting Pediatric Severe Asthma Exacerbations: An Administrative Claims-Based Predictive Model. J Asthma. 2024 Mar; 61(3):203-211. PMID: 37725084.
  3. Jefferson AA, Brown CC, Eyimina A, Goudie A, Rezaeiahari M, Perry TT, Tilford JM. Asthma Quality Measurement and Adverse Outcomes in Medicaid-Enrolled Children. Pediatrics. 2023 Aug 1; 152(2):e2022059812. PMCID: PMC10389769.
  4. Najarian M, Goudie A, Bona JP, Rezaeiahari M, Young SG, Bogulski CA, Hayes CJ. Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals. Telemed J E Health. 2023 Nov; 29(11):1624-1633. PMCID: PMC11074434.
  5. Rezaeiahari M, Brown CC, Ali MM, Tilford JM, Magann EF. Identification of Racial/Ethnic Disparities Associated with Severe Maternal Morbidity Using the Arkansas All-Payer Claims Database (2013-2017). Birth. 2023 Jun; 50(2):339-348. PMID: 35670090.

UAMS College of Public Health LogoUAMS College of Public HealthUniversity of Arkansas for Medical Sciences
Mailing Address: 4301 West Markham Street, Little Rock, AR 72205
Phone: (501) 526-6614
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