Harold P. Lehmann, M.D., Ph.D.

Headshot of Harold P. Lehmann
  • Professor of Medicine


General Pediatrics

Research Interests

Biostatistics; Evidence-based medicine; Decision making; Informatics; Bayesian ...read more


Dr. Harold Lehmann is a professor of Biomedical Informatics and Data Science (Department of Medicine) at the Johns Hopkins University School of Medicine. He holds joint appointments in Pediatrics and Health Policy and Management and in International Health at the Johns Hopkins Bloomberg School of Public Health. His areas of clinical expertise include general pediatrics, although he is no longer clinically active. Dr. Lehmann serves as the informatics lead for the PaTH/PCORnet site of Johns Hopkins.

He received his B.A. (English) from Columbia College. He earned his M.D. from the Columbia University College of Physicians and Surgeons and his Ph.D. (Medical Information Science) from Stanford University. 

Dr. Lehmann's research interests include real-world evidence, evidence-based medicine and decision making, decision analysis and Bayesian and computable scientific communication.

Dr. Lehmann is a fellow of the American College of Medical Informatics, and Associate Editor of JAMIA. He is a member of the Society for Medical Decision Making and the American Medical Informatics Association.

...read more


  • Professor of Medicine
  • Professor of Pediatrics

Departments / Divisions

Centers & Institutes



  • B.A.; Columbia University (New York) (1977)
  • M.D.; Columbia University College of Physicians and Surgeons (New York) (1981)
  • Ph.D.; Stanford University (California) (1991)

Research & Publications

Core Facility:

  • Clinical Research Informatics Core

Selected Publications

Weiskopf NG, Dorr DA, Jackson C, Lehmann HP, Thompson CA. Healthcare utilization is a collider: an introduction to collider bias in EHR data reuse. J Am Med Inform Assoc. 2023 Feb 8:ocad013. doi: 10.1093/jamia/ocad013. Epub ahead of print. PMID: 36752649

Lasser EC, Gudzune KA, Lehmann H, Kharrazi H, Weiner JP. Trends and Patterns of Social History Data Collection Within an Electronic Health Record. Popul Health Manag. 2023 Jan 6. doi: 10.1089/pop.2022.0209. Epub ahead of print. PMID: 36607903

Wolf RM, Abramoff MD, Channa R, Tava C, Clarida W, Lehmann HP. Potential reduction in healthcare carbon footprint by autonomous artificial intelligence. NPJ Digit Med. 2022 May 12;5(1):62. doi: 10.1038/s41746-022-00605-w. PMID: 35551275; PMCID: PMC9098499

Bradwell KR, Wooldridge JT, Amor B, Bennett TD, Anand A, Bremer C, Yoo YJ, Qian Z, Johnson SG, Pfaff ER, Girvin AT, Manna A, Niehaus EA, Hong SS, Zhang XT, Zhu RL, Bissell M, Qureshi N, Saltz J, Haendel MA, Chute CG, Lehmann HP, Moffitt RA. Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset. J Am Med Inform Assoc. 2022 Apr 18:ocac054. doi: 10.1093/jamia/ocac054. Epub ahead of print. PMID: 35435957

Lehmann HP, Downs SM. Desiderata for sharable computable biomedical knowledge for learning health systems. Learn Health Syst. 2018 Aug 3;2(4):e10065. doi: 10.1002/lrh2.10065. PMID: 31245589; PMCID: PMC6508769

Academic Affiliations & Courses

Graduate Program Affiliation

Masters and PhD programs, Biomedical Informatics and Data Science, SOM

DrPH Informatics Track, BSPH

Courses and Syllabi

  • Introduction to Public Health and Biomedical Informatics (ME 250.953)
    Biomedical Informatics and Data Science
  • Clinical Decision Analysis (ME 250.777)
    Biomedical Informatics and Data Science
  • Health Sciences Informatics: Knowledge Engineering and Decision Support (ME 250.901)
    Biomedical Informatics and Data Science
  • Student Seminar & Grand Rounds (ME 250.860)
    Biomedical Informatics and Data Science
  • Mentored Research, Research Seminar (ME 250.854)
    Biomedical Informatics and Data Science

Activities & Honors


  • Fellow, American College of Medical Informatics
  • Fellow, American Academy of Pediatrics


  • American Academy of Pediatrics
  • American College of Medical Informatics
  • American Medical Informatics Association
  • Society for Medical Decision Making

Patient Ratings & Comments

The Patient Rating score is an average of all responses to physician related questions on the national CG-CAHPS Medical Practice patient experience survey through Press Ganey. Responses are measured on a scale of 1 to 5, with 5 being the best score. Comments are also gathered from our CG-CAHPS Medical Practice Survey through Press Ganey and displayed in their entirety. Patients are de-identified for confidentiality and patient privacy.

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