Hripcsak, George

Observational Study of Hydroxychloroquine in Hospitalized Patients with Covid-19

Geleris, J., Sun, Y., Platt, J., Zucker, J., Baldwin, M., Hripcsak, G., Labella, A., Manson, D. K., Kubin, C., Barr, R. G., et al. (2020) · New England Journal of Medicine

COVID-19 Clinical Research StudiesRespiratory Support and Mechanisms

Cited by 1,625

Next-generation phenotyping of electronic health records

Hripcsak, G., & Albers, D. J. (2013) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 795

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

Defining and measuring completeness of electronic health records for secondary use

Weiskopf, N. G., Hripcsak, G., Swaminathan, S., & Weng, C. (2013) · Journal of Biomedical Informatics

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 367

Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis

Suchard, M. A., Schuemie, M. J., Krumholz, H. M., You, S. C., Chen, R., Pratt, N., Reich, C. G., Duke, J., Madigan, D., Hripcsak, G., et al. (2019) · The Lancet

Blood Pressure and Hypertension StudiesCardiovascular Health and Disease Prevention

Cited by 359

Characterizing treatment pathways at scale using the OHDSI network

Hripcsak, G., Ryan, P. B., Duke, J. D., Shah, N. H., Park, R. W., Huser, V., Suchard, M. A., Schuemie, M. J., DeFalco, F. J., Perotte, A., et al. (2016) · Proceedings of the National Academy of Sciences

Medical Coding and Health InformationMachine Learning in Healthcare

Cited by 326

Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study

Lane, J. C. E., Weaver, J., Kostka, K., Duarte-Salles, T., Abrahao, M. T. F., Alghoul, H., Alser, O., Alshammari, T. M., Biedermann, P., Banda, J. M., et al. (2020) · The Lancet Rheumatology

Rheumatoid Arthritis Research and TherapiesPharmacovigilance and Adverse Drug Reactions

Cited by 258

Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study

Li, X., Ostropolets, A., Makadia, R., Shoaibi, A., Rao, G., Sena, A. G., Martinez-Hernandez, E., Delmestri, A., Verhamme, K., Rijnbeek, P. R., et al. (2021) · BMJ

Pharmacovigilance and Adverse Drug ReactionsSARS-CoV-2 and COVID-19 Research

Cited by 219

Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study

Chen, R., Suchard, M. A., Krumholz, H. M., Schuemie, M. J., Shea, S., Duke, J., Pratt, N., Reich, C. G., Madigan, D., You, S. C., et al. (2021) · Hypertension

Blood Pressure and Hypertension StudiesRenin-Angiotensin System Studies

Cited by 190

Use of electronic clinical documentation: time spent and team interactions

Hripcsak, G., Vawdrey, D. K., Fred, M. R., & Bostwick, S. B. (2011) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 175

Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data

Schuemie, M. J., Hripcsak, G., Ryan, P. B., Madigan, D., & Suchard, M. A. (2018) · Proceedings of the National Academy of Sciences

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 163

A Data Quality Assessment Guideline for Electronic Health Record Data Reuse

Weiskopf, N. G., Bakken, S., Hripcsak, G., & Weng, C. (2017) · eGEMs (Generating Evidence & Methods to improve patient outcomes)

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 152

Semaglutide and Nonarteritic Anterior Ischemic Optic Neuropathy

Cai, C. X., Hribar, M., Baxter, S., Goetz, K., Swaminathan, S. S., Flowers, A., Brown, E. N., Toy, B., Xu, B., Chen, J., et al. (2025) · JAMA Ophthalmology

Intraoperative Neuromonitoring and Anesthetic EffectsPeripheral Artery Disease Management

Cited by 114

The future state of clinical data capture and documentation: a report from AMIA's 2011 Policy Meeting

Cusack, C. M., Hripcsak, G., Bloomrosen, M., Rosenbloom, S. T., Weaver, C. A., Wright, A., Vawdrey, D. K., Walker, J., & Mamykina, L. (2013) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 103

Clinical Decision Support and Electronic Prescribing Systems: A Time for Responsible Thought and Action

Miller, R. A., Gardner, R. M., Johnson, K. B., & Hripcsak, G. (2005) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 99

Bias Associated with Mining Electronic Health Records

Hripcsak, G., Knirsch, C., Zhou, L., Wilcox, A., & Melton, G. (2011) · Journal of Biomedical Discovery and Collaboration

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 83

Using EHRs to integrate research with patient care: promises and challenges: Table 1

Weng, C., Appelbaum, P., Hripcsak, G., Kronish, I., Busacca, L., Davidson, K. W., & Bigger, J. T. (2012) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsEthics in Clinical Research

Cited by 82

The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions

Walsh, C., & Hripcsak, G. (2014) · Journal of Biomedical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 75

Improving reproducibility by using high-throughput observational studies with empirical calibration

Schuemie, M. J., Ryan, P. B., Hripcsak, G., Madigan, D., & Suchard, M. A. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Meta-analysis and systematic reviewsAdvanced Causal Inference Techniques

Cited by 74

Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

Prats-Uribe, A., Sena, A. G., Lai, L. Y. H., Ahmed, W.-U.-R., Alghoul, H., Alser, O., Alshammari, T. M., Areia, C., Carter, W., Casajust, P., et al. (2021) · BMJ

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

Cited by 68

Association of Hemoglobin A 1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative

Vashisht, R., Jung, K., Schuler, A., Banda, J. M., Park, R. W., Jin, S., Li, L., Dudley, J. T., Johnson, K. W., Shervey, M. M., et al. (2018) · JAMA Network Open

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 61

Robust empirical calibration of p‐values using observational data

Schuemie, M. J., Hripcsak, G., Ryan, P. B., Madigan, D., & Suchard, M. A. (2016) · Statistics in Medicine

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 53

Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes

Khera, R., Aminorroaya, A., Dhingra, L. S., Thangaraj, P. M., Pedroso Camargos, A., Bu, F., Ding, X., Nishimura, A., Anand, T. V., Arshad, F., et al. (2024) · Journal of the American College of Cardiology

Diabetes Treatment and ManagementHeart Failure Treatment and Management

Cited by 47

Comparative Effectiveness of Second-line Antihyperglycemic Agents for Cardiovascular Outcomes: A Large-scale, Multinational, Federated Analysis of the LEGEND-T2DM Study

Khera, R., Aminorroaya, A., Dhingra, L. S., Thangaraj, P. M., Camargos, A. P., Bu, F., Ding, X., Nishimura, A., Anand, T. V., Arshad, F., et al. (2024) · Journal of the American College of Cardiology

Diabetes Treatment and ManagementHeart Failure Treatment and Management

Cited by 46