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Harold Lehmann

Harold Lehmann, MD, PhD

Highlights

Languages

  • English

Gender

Male

Johns Hopkins Affiliations:

  • Johns Hopkins School of Medicine Faculty

About Harold Lehmann

Primary Academic Title

Professor of Medicine

Background

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.

Additional Academic Titles

Professor of Pediatrics

Research Interests

Real-World Evidence, Decision making, Bayesian Biostatistics, Evidence-based medicine, Informatics

Lab Website

Harold Lehmann Lab

  • Researchers in the Harold Lehmann Lab study evidence-based medicine. We are currently examining the informatics infrastructure of research and the secondary use of electronic health record data for research. The team is also evaluating the value of classic evidence reports versus social media versus links to community services for community health workers.

Core Facility

Clinical Research Informatics Core

Research Summary

  • Informatics lead, Johns Hopkins site in PaTH/PCORnet
    • Data Quality
    • Dozens of projects
  • Mentoring students, junior faculty
    • Bringing decision analysis into machine learning
    • Clinical adoption of AI
    • Informatics of value-based care
    • Patient-portal intervention of emerging adults at STI risk
    • Ontology of equity measures
    • Informatics review of public-facing public health dashboards
    • Patients' journey to lung cancer diagnosis
  • Decision modeling for AI and diabetic retinopathy
  • Return-on-investment calculator for diagnostic technologies
  • Putting evidence on FHIR: Health Evidence Knowledge Accelerator

 

  • Training program: Promoting Embedded Research in the Learning Health System

Selected Publications

  • 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

  • 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

  • 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

  • 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

  • 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

Courses & Syllabi

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

Honors

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

Graduate Program Affiliations

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

  • DrPH Informatics Track, BSPH

  • MPH
  • SON DNP

Memberships

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

Expertise

Education

Stanford University

Ph.D., 1991

Columbia University College of Physicians And Surgeons (New York)

M.D., 1981

Columbia University

B.A., 1977