Andrea Lorden, PhD


Assistant Professor


Phone: (405) 271-8001, ext 37717
Office: The University of Oklahoma Health Sciences Center
801 Northeast 13th Street, Room 343
Post Office Box 26901
Oklahoma City, Oklahoma 73126-0901



  • Ph.D., Texas A&M Health Sciences Center, 2014
  • M.P.H., University of North Texas Health Sciences Center, 2008
  • B.S. Iowa State University, 1988


  • Academy Health and American Public Health Association


Selected Publications:

  • Tietze, M & Lorden, AL (Text Chapter, in press). “National prevention strategy, population health and health IT.” In S.G. McBride & M. Tietze, Nursing informatics for the advanced practice nurse: Patient safety, quality, outcomes and interprofessionalism. New York, NY: Springer Publishing Company.
  • Jiang, L, Zhang, B, Smith, ML, Lorden, AL, Radcliff, TA, Lorig, K, Howell, BL, & Ory, MG (In press). “Concordance between self-reports and Medicare claims among participants in a national study of chronic disease self-management program.” Frontiers in Public Health.
  • Lorden, AL, Radcliff, TA, Jiang, L, Horel, S, Smith, ML, Lorig, K, Howell, B, Whitelaw, NA, & Ory, MG “Leveraging administrative data for program evaluations: A method for linking datasets without unique identifiers.” Evaluation & the Health Professions, available online at (2014)
  • Lorden, AL, Zhang, Y, Lin, S, & Côté, MJ “Measures of success: The role of human factors in lean implementation in healthcare.” Quality Management Journal, 21(3), 26-37. (2014)
  • Coustasse, A, Lorden, AL, & Singh, KP, Nemarugommula, V. “Uncompensated care cost: A pilot study of hospitals in a Texas county.” Hospital Topics, 87(2), 3-12. (2009)
  • Lorden, AL, Coustasse, A, & Singh, KP “The Balanced Scorecard framework - A case study of patient and employee satisfaction: What happens when it doesn’t work as planned?” Healthcare Management Review, 33(2), 145-155. (2008)


  • Dr. Lorden is interested in health services research pertaining to access and quality metrics especially for vulnerable populations in all care settings. She is interested in leveraging big data in the application of econometric methods to estimate comprehensive cost estimates in ways that inform healthcare decision makers.