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D-Index & Metrics

Computer Science

D-Index
84
Citations
25729
World Ranking
862
National Ranking
470

Research.com Recognitions

  • 2012 - Member of the National Academy of Medicine (NAM)

Overview

George Hripcsak is affiliated with Columbia University in the United States. Their research spans predominantly the field of Medicine, with a focus on several subfields including Infectious Diseases, Epidemiology, Endocrinology, Diabetes and Metabolism, Statistics and Probability, and Molecular Biology.

The scientist's work covers a diverse set of main research topics such as COVID-19 Clinical Research Studies, Health Systems, Economic Evaluations, and Quality of Life, Biomedical Text Mining and Ontologies, Machine Learning in Healthcare, Diabetes Management and Research, SARS-CoV-2 and COVID-19 Research, and Advanced Causal Inference Techniques.

Frequent publication venues for George Hripcsak include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of the American Medical Informatics Association
  • arXiv (Cornell University)
  • Journal of Biomedical Informatics
  • Journal of the American College of Cardiology

The scientist has collaborated multiple times with notable coauthors such as:

  • Patrick Ryan
  • Marc A. Suchard
  • Anna Ostropolets
  • Martijn J. Schuemie
  • Thomas Falconer

Recent published papers by George Hripcsak include:

  • Observational Study of Hydroxychloroquine in Hospitalized Patients with Covid-19, 2020, New England Journal of Medicine
  • Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series, 2020, BMJ
  • The All of Us Research Program: Data quality, utility, and diversity, 2022, Patterns
  • Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study, 2021, BMJ
  • Association of Ticagrelor vs Clopidogrel With Net Adverse Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention, 2020, JAMA

George Hripcsak received the award of Member of the National Academy of Medicine (NAM) in 2012.

Best Publications

  • Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers

    George Hripcsak;Jon D. Duke;Nigam H. Shah;Christian G. Reich

  • Agreement, the F-Measure, and Reliability in Information Retrieval

    George Hripcsak;Adam S. Rothschild

  • Next-generation phenotyping of electronic health records

    George Hripcsak;David J Albers

  • Design lessons from the fastest q&a site in the west

    Lena Mamykina;Bella Manoim;Manas Mittal;George Hripcsak

  • Automated encoding of clinical documents based on natural language processing.

    Carol Friedman;Lyudmila Shagina;Yves A. Lussier;George Hripcsak

  • Detecting adverse events using information technology.

    David W. Bates;R. Scott Evans;Harvey J. Murff;Peter D. Stetson

  • Caveats for the use of operational electronic health record data in comparative effectiveness research.

    William R. Hersh;Mark G. Weiner;Peter J. Embi;Judith R. Logan

  • Detecting adverse events for patient safety research: a review of current methodologies

    Harvey J. Murff;Vimla L. Patel;George Hripcsak;David W. Bates

  • Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing

    George Hripcsak;Carol Friedman;Philip O. Alderson;William DuMouchel

  • Knowledge-based approaches to the maintenance of a large controlled medical terminology.

    James J. Cimino;Paul D. Clayton;George Hripcsak;Stephen B. Johnson

  • Rationale for the Arden Syntax

    George Hripcsak;Peter Ludemann;T. Allan Pryor;Ove B. Wigertz

  • Defining and measuring completeness of electronic health records for secondary use

    Nicole G. Weiskopf;George Hripcsak;Sushmita Swaminathan;Chunhua Weng

  • Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study

    Xiaoyan Wang;George Hripcsak;Marianthi Markatou;Carol Friedman

  • Automated detection of adverse events using natural language processing of discharge summaries.

    Genevieve B. Melton;George Hripcsak;George Hripcsak

  • Patient engagement in the inpatient setting: a systematic review

    Jennifer E Prey;Janet Woollen;Lauren Wilcox;Alexander D Sackeim

  • Measuring agreement in medical informatics reliability studies

    George Hripcsak;Daniel F. Heitjan

  • Similarity-based modeling in large-scale prediction of drug-drug interactions

    Santiago Vilar;Eugenio Uriarte;Lourdes Santana;Tal Lorberbaum

  • Automated Acquisition of Disease–Drug Knowledge from Biomedical and Clinical Documents: An Initial Study

    Elizabeth S. Chen;Elizabeth S. Chen;Elizabeth S. Chen;George Hripcsak;Hua Xu;Marianthi Markatou

  • Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports

    George Hripcsak;John H M Austin;Philip O Alderson;Carol Friedman

  • Natural language processing and its future in medicine.

    C Friedman;G Hripcsak

  • The Arden Syntax for Medical Logic Modules.

    Hripcsak G;Clayton Pd;Pryor Ta;Haug P

  • Arden Syntax for Medical Logic Modules.

    Hripcsak G

Frequent Co-Authors

Carol Friedman
Carol Friedman Columbia University
Martijn J. Schuemie
Martijn J. Schuemie Janssen (Belgium)
Chunhua Weng
Chunhua Weng Columbia University
James J. Cimino
James J. Cimino University of Alabama at Birmingham
Stephen B. Johnson
Stephen B. Johnson Columbia University
Marc A. Suchard
Marc A. Suchard University of California, Los Angeles
Suzanne Bakken
Suzanne Bakken Columbia University
Nigam H. Shah
Nigam H. Shah Stanford University
David Madigan
David Madigan Northeastern University
Justin Starren
Justin Starren Northwestern University

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