Lehmann, Harold P.

Clinical decision support systems for the practice of evidence-based medicine

Sim, I., Gorman, P., Greenes, R. A., Haynes, R. B., Kaplan, B., Lehmann, H., & Tang, P. C. (2001) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 732

Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

Hersh, W. R., Weiner, M. G., Embi, P. J., Logan, J. R., Payne, P. R. O., Bernstam, E. V., Lehmann, H. P., Hripcsak, G., Hartzog, T. H., Cimino, J. J., et al. (2013) · Medical Care

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 567

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Haendel, M. A., Chute, C. G., Bennett, T. D., Eichmann, D. A., Guinney, J., Kibbe, W. A., Payne, P. R. O., Pfaff, E. R., Robinson, P. N., Saltz, J. H., et al. (2021) · Journal of the American Medical Informatics Association

Research Data Management PracticesElectronic Health Records Systems

Cited by 553

Controlled Trial of Transfusions for Silent Cerebral Infarcts in Sickle Cell Anemia

DeBaun, M. R., Gordon, M., McKinstry, R. C., Noetzel, M. J., White, D. A., Sarnaik, S. A., Meier, E. R., Howard, T. H., Majumdar, S., Inusa, B. P. D., et al. (2014) · New England Journal of Medicine

Hemoglobinopathies and Related DisordersBlood transfusion and management

Cited by 545

Clinical Review: Checklists—Translating Evidence into Practice

Winters, B. D., Gurses, A. P., Lehmann, H., Sexton, J. B., Rampersad, C., & Pronovost, P. J. (2009) · Critical Care

Patient Safety and Medication ErrorsClinical practice guidelines implementation

Cited by 348

Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial

Wolf, R. M., Channa, R., Liu, T. Y. A., Zehra, A., Bromberger, L., Patel, D., Ananthakrishnan, A., Brown, E. A., Prichett, L., Lehmann, H. P., et al. (2024) · Nature Communications

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 116

Cost-effectiveness of Autonomous Point-of-Care Diabetic Retinopathy Screening for Pediatric Patients With Diabetes

Wolf, R. M., Channa, R., Abramoff, M. D., & Lehmann, H. P. (2020) · JAMA Ophthalmology

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 87

Potential reduction in healthcare carbon footprint by autonomous artificial intelligence

Wolf, R. M., Abramoff, M. D., Channa, R., Tava, C., Clarida, W., & Lehmann, H. P. (2022) · npj Digital Medicine

Environmental Impact and SustainabilityArtificial Intelligence in Healthcare and Education

Cited by 63

Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data

Durojaiye, A. B., Levin, S., Toerper, M., Kharrazi, H., Lehmann, H. P., & Gurses, A. P. (2019) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsHospital Admissions and Outcomes

Cited by 32

Advancing Toward a Common Data Model in Ophthalmology

Cai, C. X., Halfpenny, W., Boland, M. V., Lehmann, H. P., Hribar, M., Goetz, K. E., & Baxter, S. L. (2023) · Ophthalmology Science

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 24

Clinical Implementation of Autonomous Artificial Intelligence Systems for Diabetic Eye Exams: Considerations for Success

Wolf, R. M., Channa, R., Lehmann, H. P., Abramoff, M. D., & Liu, T. Y. A. (2024) · Clinical Diabetes

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 12

Developing a computable phenotype for identifying children, adolescents, and young adults with diabetes using electronic health records in the DiCAYA Network.

Shao, H., Thorpe, L. E., Islam, S., Bian, J., Guo, Y., Li, P., Bost, S., Dabelea, D., Conway, R., Crume, T., et al. (2025) · Diabetes Care

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 8

261-OR: Autonomous Artificial Intelligence (AI) Testing for Diabetic Eye Disease (DED) Closes Care Gap and Improves Health Equity on a Systems Level

ALVIN LIU, T. Y., HUANG, J., LEHMANN, H., WOLF, R. M., CHANNA, R., & ABRÀMOFF, M. D. (2023) · Diabetes

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 3

Autonomous AI-assisted diabetic retinopathy screening at primary care is associated with increased presentation to eye care by at risk patients

Leong, A., Wolf, R. M., Channa, R., Wang, J., Lehmann, H., Abramoff, M. D., & Liu, T. Y. A. (2026) · npj Digital Medicine

Retinal Imaging and AnalysisOphthalmology and Visual Health Research

Cited by 3

A Scoping Review of LLM-as-a-Judge in Healthcare and the MedJUDGE Framework

Li, C., Akhtar, Z., Kwak, M., Ji, Y., Zhang, H., Obi, T., Ren, Y., Wu, X., Sivarajkumar, S., Lehmann, H. P., et al. (2026) · arXiv

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 1