George Hripcsak

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Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.

Xiaoyan Wang, George Hripcsak, Marianthi Markatou, 2009, Journal of the American Medical Informatics Association : JAMIA.

A method for harmonization of clinical abbreviation and acronym sense inventories

George Hripcsak, Chunhua Weng, Lisa V. Grossman, 2018, J. Biomed. Informatics.

Automated Identification of Families in Electronic Health Records to Support Clinical Research

George Hripcsak, Suzanne Bakken, David K. Vawdrey, 2017, CRI.

Generic data modeling for home telemonitoring of chronically ill patients

George Hripcsak, Stephen B. Johnson, Jinsong Cai, 2000, AMIA.

Why predicting postprandial glucose using self-monitoring data is difficult

George Hripcsak, David J. Albers, Matthew E. Levine, 2017, AMIA.

Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)

George Hripcsak, David Madigan, Martijn J Schuemie, 2020, J. Am. Medical Informatics Assoc..

A conceptual framework for evaluating data suitability for observational studies

George Hripcsak, Chunhua Weng, Ning Shang, 2017, J. Am. Medical Informatics Assoc..

Electronic Discharge Summaries

George Hripcsak, Alla Keselman, Peter D. Stetson, 2005, AMIA.

The United Hospital Fund meeting on evaluating health information exchange

Rainu Kaushal, George Hripcsak, David W. Bates, 2007, J. Biomed. Informatics.

Impact of Meaningful Use and Organizational Strategies for Success

George Hripcsak, David W. Bates, William W. Stead, 2012, AMIA.

Temporal data analytics

Fei Wang, Yuval Shahar, George Hripcsak, 2016, J. Biomed. Informatics.

Personalized medicine beyond genetics: using personalized model-based forecasting to help type 2 diabetics understand and predict their post-meal glucose

Lena Mamykina, George Hripcsak, David J. Albers, 2015, AMIA.

Concepts, Issues, and Standards. Application of Controlled Medical Vocabularies: The Arden Syntax for Medical Logic Modules

George Hripcsak, Peter J. Haug, Paul D. Clayton, 1990 .

An Active Learning Framework for Efficient Condition Severity Classification

Yuval Shahar, George Hripcsak, Yuval Elovici, 2015, AIME.

Viewpoint Paper: Large Datasets in Biomedicine: A Discussion of Salient Analytic Issues

George Hripcsak, Marianthi Markatou, Anshu Sinha, 2009, J. Am. Medical Informatics Assoc..

Automated encoding of clinical documents based on natural language processing.

George Hripcsak, Carol Friedman, Yves A. Lussier, 2004, Journal of the American Medical Informatics Association : JAMIA.

Designing an Introspective, Multipurpose, Controlled Medical Vocabulary.

George Hripcsak, Stephen B. Johnson, Paul D. Clayton, 1989 .

An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems

George Hripcsak, Suzanne Bakken, Chunhua Weng, 2013, J. Biomed. Informatics.

Proof of concept for the role of glycemic control in the early detection of infections in diabetics

George Hripcsak, Gunnar Hartvigsen, Justin Starren, 2012, Health Informatics J..

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

Lena Mamykina, George Hripcsak, Björn Hartmann, 2011, CHI.

Medical text representations for inductive learning

George Hripcsak, Adam B. Wilcox, G. Hripcsak, 2000, AMIA.

Viewpoint Paper: A Model for Expanded Public Health Reporting in the Context of HIPAA

George Hripcsak, Soumitra Sengupta, Neil S. Calman, 2008, J. Am. Medical Informatics Assoc..

Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations

George Hripcsak, David J. Albers, G. Hripcsak, 2011, Chaos.

Issues and Structures for Sharing Medical Knowledge Among Decision-Making Systems: The 1989 Arden Homestead Retreat

George Hripcsak, Paul D. Clayton, Ove Wigertz, 1989 .

Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies

George Hripcsak, James Geller, Ling Zheng, 2016, J. Biomed. Informatics.

WebCIS: large scale deployment of a Web-based clinical information system

George Hripcsak, James J. Cimino, Soumitra Sengupta, 1999, AMIA.

Automated acquisition of disease drug knowledge from biomedical and clinical documents: an initial study.

George Hripcsak, Marianthi Markatou, Carol Friedman, 2008, Journal of the American Medical Informatics Association : JAMIA.

Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping

George Hripcsak, Patrick B. Ryan, Chunhua Weng, 2019, J. Biomed. Informatics.

Using empiric semantic correlation to interpret temporal assertions in clinical texts.

George Hripcsak, Li Zhou, Noémie Elhadad, 2009, Journal of the American Medical Informatics Association : JAMIA.

From Large-Scale Network Analytics to Clinical Solutions in OHDSI

George Hripcsak, Patrick B. Ryan, Jon D. Duke, 2017, AMIA.

An Experimental System for Comparing Speed, Accuracy, and Completeness of Physician Data Entry using Electronic and Paper Methods

George Hripcsak, Michael F. Chiang, Justin Starren, 2003, AMIA.

Detection of Practice Pattern Trends through Natural Language Processing of Clinical Narratives and Biomedical Literature

George Hripcsak, Marianthi Markatou, Carol Friedman, 2007, AMIA.

Analysis of Variance of Cross-Validation Estimators of the Generalization Error

George Hripcsak, Marianthi Markatou, Hong Tian, 2005, J. Mach. Learn. Res..

A method for realizing the Arden Syntax, a standard for medical knowledge representation, in building decision support systems

George Hripcsak, Bo Johansson, Nosrat Shahsavar, 1993 .

Automating a severity score guideline for community-acquired pneumonia employing medical language processing of discharge summaries

George Hripcsak, Carol Friedman, Lyudmila Shagina, 1999, AMIA.

Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives

George Hripcsak, David K. Vawdrey, Nicholas P. Tatonetti, 2018, AMIA.

A draft framework for measuring progress towards the development of a national health information infrastructure

Rainu Kaushal, Richard N. Shiffman, George Hripcsak, 2005, BMC Medical Informatics Decis. Mak..

A temporal constraint structure for extracting temporal information from clinical narrative

George Hripcsak, Simon Parsons, Li Zhou, 2006, J. Biomed. Informatics.

Use of Clinical Data in Genetic Research: The Value of Narrative Data in Electronic Medical Records

George Hripcsak, Jinsong Cai, Rudolph L. Leibel, 1999, AMIA.

Bias Associated with Mining Electronic Health Records

George Hripcsak, Adam Wilcox, Charles Knirsch, 2011, Journal of biomedical discovery and collaboration.

Development and validation of a classification approach for extracting severity automatically from electronic health records

George Hripcsak, Nicholas P. Tatonetti, Mary Regina Boland, 2015, Journal of Biomedical Semantics.

Publication bias in clinical trials of electronic health records

George Hripcsak, David K. Vawdrey, D. Vawdrey, 2013, J. Biomed. Informatics.

Review Paper: Design and Analysis of Controlled Trials in Naturally Clustered Environments: Implications for Medical Informatics

George Hripcsak, Jen-Hsiang Chuang, Daniel F. Heitjan, 2002, J. Am. Medical Informatics Assoc..

Visualizing the operating range of a classification system

George Hripcsak, 2012, J. Am. Medical Informatics Assoc..

Birth month affects lifetime disease risk: a phenome-wide method

George Hripcsak, Nicholas P. Tatonetti, Mary Regina Boland, 2015, J. Am. Medical Informatics Assoc..

The Applicability of an EHR Phenotype for Cohort Identification

George Hripcsak, Patrick B. Ryan, Chunhua Weng, 2016, CRI.

EHR-based phenotyping: Bulk learning and evaluation

George Hripcsak, Po-Hsiang Chiu, G. Hripcsak, 2017, J. Biomed. Informatics.

Development, implementation, and a cognitive evaluation of a definitional question answering system for physicians

George Hripcsak, Hong Yu, James J. Cimino, 2007, J. Biomed. Informatics.

GESDOR - A Generic Execution Model for Sharing of Computer-Interpretable Clinical Practice Guidelines

Gail E. Kaiser, George Hripcsak, Vimla L. Patel, 2003, AMIA.

Using data assimilation to forecast post-meal glucose for patients with type 2 diabetes

Lena Mamykina, George Hripcsak, David J. Albers, 2016, AMIA.

Beyond discrimination: A comparison of calibration methods and clinical usefulness of predictive models of readmission risk

George Hripcsak, Colin G. Walsh, Kavya Sharman, 2017, J. Biomed. Informatics.

Comparing Lagged Linear Correlation, Lagged Regression, Granger Causality, and Vector Autoregression for Uncovering Associations in EHR Data

George Hripcsak, David J. Albers, Matthew E. Levine, 2016, AMIA.

The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs) pdf

George Hripcsak, Yixin Wang, David M. Blei, 2019, ArXiv.

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

George Hripcsak, Colin G. Walsh, G. Hripcsak, 2014, J. Biomed. Informatics.

Model Formulation: Modeling Electronic Discharge Summaries as a Simple Temporal Constraint Satisfaction Problem

George Hripcsak, Simon Parsons, Li Zhou, 2004, J. Am. Medical Informatics Assoc..

Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network.

Robert C. Green, Keith Marsolo, Casey Overby Taylor, 2019, American journal of human genetics.

A study of terminology auditors' performance for UMLS semantic type assignments

George Hripcsak, James Geller, Yan Chen, 2012, J. Biomed. Informatics.

Auditing hierarchical cycles to locate other inconsistencies in the UMLS.

George Hripcsak, Yehoshua Perl, Michael Halper, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Review Paper: Detecting Adverse Events Using Information Technology

George Hripcsak, David W. Bates, Peter D. Stetson, 2003, J. Am. Medical Informatics Assoc..

Model Selection For EHR Laboratory Tests Preserving Healthcare Context and Underlying Physiology

George Hripcsak, Noémie Elhadad, David J. Albers, 2015, AMIA.

Technical Brief: Agreement, the F-Measure, and Reliability in Information Retrieval

George Hripcsak, Adam S. Rothschild, G. Hripcsak, 2005, J. Am. Medical Informatics Assoc..

Review Paper: Reference Standards, Judges, and Comparison Subjects: Roles for Experts in Evaluating System Performance

George Hripcsak, Adam B. Wilcox, G. Hripcsak, 2002, J. Am. Medical Informatics Assoc..

An evaluation of natural language processing methodologies

George Hripcsak, Carol Friedman, Irina Shablinsky, 1998, AMIA.

The Evolving Use of a Clinical Data Repository: Facilitating Data Access Within an Electronic Medical Record

George Hripcsak, David K. Vawdrey, Adam B. Wilcox, 2009, AMIA.

Minimizing electronic health record patient-note mismatches

George Hripcsak, Adam B. Wilcox, Yueh-Hsia Chen, 2011, J. Am. Medical Informatics Assoc..

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

Yu-Chuan Li, George Hripcsak, Patrick B. Ryan, 2015, MedInfo.

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

George Hripcsak, Chunhua Weng, Linda Busacca, 2012, J. Am. Medical Informatics Assoc..

Facilitating phenotype transfer using a common data model

George Hripcsak, Chunhua Weng, Joshua C. Denny, 2019, J. Biomed. Informatics.

Use of electronic clinical documentation: time spent and team interactions

George Hripcsak, David K. Vawdrey, Matthew R. Fred, 2011, J. Am. Medical Informatics Assoc..

Controlled Vocabularies, Indexing and Medical Language Processing. Controlled Vocabularies: Designing an Introspective, Multipurpose, Controlled Medical Vocabulary

George Hripcsak, Stephen B. Johnson, Paul D. Clayton, 1989 .

Approaches for using temporal and other filters for next generation phenotype discovery

George Hripcsak, Adler J. Perotte, David J. Albers, 2016, AMIA.

Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: rationale and design.

George Hripcsak, Justin Starren, Walter Palmas, 2002, Journal of the American Medical Informatics Association : JAMIA.

A lexical metaschema for the UMLS semantic network

George Hripcsak, James Geller, Yehoshua Perl, 2005, Artif. Intell. Medicine.

A knowledge model for the interpretation and visualization of NLP-parsed discharged summaries

Michael Krauthammer, George Hripcsak, 2001, AMIA.

Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study

George Hripcsak, David Madigan, Martijn J Schuemie, 2020, J. Am. Medical Informatics Assoc..

Clinical documentation: composition or synthesis?

Lena Mamykina, George Hripcsak, Kai Zheng, 2012, J. Am. Medical Informatics Assoc..

Analysis of Error Concentrations in SNOMED

Yue Wang, George Hripcsak, Kent A. Spackman, 2007, AMIA.

Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): Architecture

Xiaobo Zhou, Keith Marsolo, George Hripcsak, 2014, J. Am. Medical Informatics Assoc..

Temporal trends of hemoglobin A1c testing

George Hripcsak, Noémie Elhadad, David J. Albers, 2014, J. Am. Medical Informatics Assoc..

Temporal biomedical data analytics

Fei Wang, Yuval Shahar, George Hripcsak, 2019, J. Biomed. Informatics.

Natural language processing in an operational clinical information system

George Hripcsak, Carol Friedman, Stephen B. Johnson, 1995, Natural Language Engineering.

Outcomes Prediction via Time Intervals Related Patterns

Fei Wang, George Hripcsak, Nicholas P. Tatonetti, 2015, 2015 IEEE International Conference on Data Mining.

Knowledge Discovery Using the Electronic Medical Record

George Hripcsak, Adam B. Wilcox, Charles Knirsch, 2002, AMIA.

Network Analysis of Citation in Hypertension Clinical Guidelines

George Hripcsak, Seng Chan You, Rae Woong Park, 2019, MedInfo.

Emerging Standards for Medical Logic

George Hripcsak, Paul D. Clayton, T. Allan Pryor, 1990 .

Exploiting time in electronic health record correlations

George Hripcsak, Adler J. Perotte, David J. Albers, 2011, J. Am. Medical Informatics Assoc..

PheValuator: Development and evaluation of a phenotype algorithm evaluator

George Hripcsak, Patrick B Ryan, Joel N Swerdel, 2019, J. Biomed. Informatics.

Calibration of Predictive Models for Clinical Decision Making: Personalizing Prevention, Treatment, and Disease Progression

Xiaoqian Jiang, Lucila Ohno-Machado, George Hripcsak, 2016, AMIA.

The sublanguage of cross-coverage

George Hripcsak, Peter D. Stetson, Stephen B. Johnson, 2002, AMIA.

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

George Hripcsak, David W. Bates, Vimla L. Patel, 2003, J. Biomed. Informatics.

Auditing complex concepts of SNOMED using a refined hierarchical abstraction network

Yue Wang, George Hripcsak, Kent A. Spackman, 2012, J. Biomed. Informatics.

Editorial Comments: Policy and the Future of Adverse Event Detection Using Information Technology

George Hripcsak, David W. Bates, Peter D. Stetson, 2003, J. Am. Medical Informatics Assoc..

Using Empirical orthogonal functions to identify temporally important variables to understand time-dependent pathophysiologic and phenotypic differences in patients

George Hripcsak, David J. Albers, Jan Claassen, 2012, AMIA.

Research Paper: The Evaluation of a Temporal Reasoning System in Processing Clinical Discharge Summaries

George Hripcsak, Simon Parsons, Li Zhou, 2008, J. Am. Medical Informatics Assoc..

Temporal reasoning with medical data - A review with emphasis on medical natural language processing

George Hripcsak, Li Zhou, G. Hripcsak, 2007, J. Biomed. Informatics.

Case-based Reasoning for Medical Risk Stratification: Contrast Associated Nephropathy

George Hripcsak, Davis Bu, 2002, AMIA.

Treatment Pathways in Patients with Cancer Using a Large-scale Observational Data Network

George Hripcsak, Patrick B. Ryan, Nigam H. Shah, 2018, AMIA.

Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms

George Hripcsak, Christopher G. Chute, Yuan Luo, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records

George Hripcsak, David M. Blei, Yixin Wang, 2019, MLHC.

Detection of drug‐drug interactions through data mining studies using clinical sources, scientific literature and social media

George Hripcsak, Carol Friedman, Santiago Vilar, 2018, Briefings Bioinform..

Evaluation of training with an annotation schema for manual annotation of clinical conditions from emergency department reports

George Hripcsak, Wendy W. Chapman, John N. Dowling, 2008, Int. J. Medical Informatics.

Assessing explicit error reporting in the narrative electronic medical record using keyword searching

George Hripcsak, Peter D. Stetson, Hui Cao, 2003, J. Biomed. Informatics.

Characterizing environmental and phenotypic associations using information theory and electronic health records

Xiaoyan Wang, George Hripcsak, Carol Friedman, 2009, BMC Bioinformatics.

Mapping abbreviations to full forms in biomedical articles.

George Hripcsak, Carol Friedman, Hong Yu, 2002, Journal of the American Medical Informatics Association : JAMIA.

Evaluating the UMLS as a source of lexical knowledge for medical language processing

Hongfang Liu, George Hripcsak, Carol Friedman, 2001, AMIA.

Terminology model discovery using natural language processing and visualization techniques

Hongfang Liu, George Hripcsak, Carol Friedman, 2006, J. Biomed. Informatics.

Personalized glucose forecasting for type 2 diabetes using data assimilation

Lena Mamykina, George Hripcsak, David J. Albers, 2017, PLoS Comput. Biol..

Representing nested semantic information in a linear string of text using XML

Michael Krauthammer, George Hripcsak, Carol Friedman, 2002, AMIA.

Next-generation phenotyping of electronic health records

George Hripcsak, David J. Albers, G. Hripcsak, 2012, J. Am. Medical Informatics Assoc..

Toward Data Analysis Using Connectionist Modules.

George Hripcsak, G. Hripcsak, 1989 .

Mining complex clinical data for patient safety research: a framework for event discovery

George Hripcsak, Vimla L. Patel, Peter D. Stetson, 2003, J. Biomed. Informatics.

Parameterizing time in electronic health record studies

George Hripcsak, Adler Perotte, David J Albers, 2015, J. Am. Medical Informatics Assoc..

Auditing Complex Concepts in Overlapping Subsets of SNOMED

Yue Wang, George Hripcsak, Kent A. Spackman, 2008, AMIA.

Patient engagement in the inpatient setting: a systematic review

Steven K. Feiner, George Hripcsak, Suzanne Bakken, 2014, J. Am. Medical Informatics Assoc..

Integrating heterogeneous knowledge sources to acquire executable drug-related knowledge.

George Hripcsak, Carol Friedman, Xiaoyan Wang, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Monitoring the function and use of a clinical decision support system.

George Hripcsak, Jianrong Li, Yves A Lussier, 2007, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Methodological variations in lagged regression for detecting physiologic drug effects in EHR data

George Hripcsak, David J. Albers, Matthew E. Levine, 2018, J. Biomed. Informatics.

Bulk Learning on EHR Data

George Hripcsak, Po-Hsiang Chiu, G. Hripcsak, 2016, AMIA.

Enabling claims-based decision support through non-interruptive capture of admission diagnoses and provider billing codes

George Hripcsak, Peter D. Stetson, David K. Vawdrey, 2014, AMIA.

Case Report: Using Social Network Analysis within a Department of Biomedical Informatics to Induce a Discussion of Academic Communities of Practice

George Hripcsak, Jacqueline Merrill, G. Hripcsak, 2008, J. Am. Medical Informatics Assoc..

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

Lena Mamykina, George Hripcsak, Adam Wright, 2013, J. Am. Medical Informatics Assoc..

The Arden Syntax for medical logic modules: Introduction

George Hripcsak, G. Hripcsak, 1994 .

Measuring agreement in medical informatics reliability studies

George Hripcsak, Daniel F. Heitjan, G. Hripcsak, 2002, J. Biomed. Informatics.

A Method for Enhancing the Portability of Electronic Phenotyping Algorithms: An eMERGE Pilot Study

George Hripcsak, Chunhua Weng, Ning Shang, 2016, American Medical Informatics Association Annual Symposium.

Engaging Hospitalized Patients with Personalized Health Information: A Randomized Trial of an Acute Care Patient Portal

George Hripcsak, Suzanne Bakken, Lisa V. Grossman, 2018, AMIA.

Using patient laboratory measurement values and dynamics to deconvolve EHR bias and define acuity-based phenotypes

George Hripcsak, Noémie Elhadad, David J. Albers, 2013, AMIA.

Preserving temporal relations in clinical data while maintaining privacy

George Hripcsak, Bradley Malin, Parsa Mirhaji, 2016, J. Am. Medical Informatics Assoc..

Conceptual DataModelfor aCentral Patient Database

George Hripcsak, Carol Friedman, Stephen B. Johnson, 1992 .

Engaging hospital patients in the medication reconciliation process using tablet computers

George Hripcsak, Suzanne Bakken, Lisa V. Grossman, 2018, J. Am. Medical Informatics Assoc..

Changing the research landscape: the New York City Clinical Data Research Network

Rainu Kaushal, George Hripcsak, Arthur L. Caplan, 2014, J. Am. Medical Informatics Assoc..

Using Knowledge Sources to Improve Classification of Medical Text Reports

George Hripcsak, Carol Friedman, Adam B. Wilcox, 2000, KDD 2000.

Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics

George Hripcsak, Marianthi Markatou, Genevieve B. Melton, 2005, AMIA.

Deep phenotyping: Embracing complexity and temporality—Towards scalability, portability, and interoperability

George Hripcsak, Chunhua Weng, Chunhua Weng, 2020, Journal of Biomedical Informatics.

Using discordance to improve classification in narrative clinical databases: An application to community-acquired pneumonia

George Hripcsak, Li Zhou, Genevieve B. Melton, 2007, Comput. Biol. Medicine.

Using Electronic Health Records To Assess Generalizability of Clinical Trials

Feng Liu, Yuan Zhang, Jie Gao, 2013, AMIA.

Using a pipeline to improve de-identification performance

George Hripcsak, Soumitra Sengupta, Frances P. Morrison, 2009, AMIA.

Comparing Inconsistent Relationship Configurations Indicating UMLS Errors

George Hripcsak, James Geller, Yehoshua Perl, 2009, AMIA.

Engaging hospitalized patients with personalized health information: a randomized trial of an inpatient portal

George Hripcsak, Suzanne Bakken, Lisa V. Grossman, 2018, J. Am. Medical Informatics Assoc..

Research Paper: Access to Data: Comparing AccessMed With Query by Review

George Hripcsak, James J. Cimino, Barry Allen, 1996, J. Am. Medical Informatics Assoc..

The Companion Project - A Wearable Computing Device for the Patient for Reducing Medical Errors and Improving Patient Care

George Hripcsak, Matthew Scotch, 2002, AMIA.

The Estimation of Posterior Probabilities Using Neural Networks.

George Hripcsak, G. Hripcsak, 1988 .

Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype

Lena Mamykina, George Hripcsak, David J. Albers, 2018, J. Am. Medical Informatics Assoc..

Classification algorithms applied to narrative reports

George Hripcsak, Adam B. Wilcox, G. Hripcsak, 1999, AMIA.

Natural Language as a Tool in the Development of a Controlled Vocabulary

George Hripcsak, Carol Friedman, Adam B. Wilcox, 1998, American Medical Informatics Association Annual Symposium.

Synchronization Analysis of Depth and Extracranial EEG Seizure Data in Subarachnoid Hemorrhage (P1.269)

George Hripcsak, David J. Albers, Jan Claassen, 2014 .

Extracting Structured Medication Event Information from Discharge Summaries

George Hripcsak, James J. Cimino, Noémie Elhadad, 2008, AMIA.

Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges

George Hripcsak, David J. Albers, Matthew E. Levine, 2018, AMIA.

Columbia Open Health Data, clinical concept prevalence and co-occurrence from electronic health records

George Hripcsak, Chunhua Weng, Michel Dumontier, 2018, Scientific Data.

Data exchange standards for computer-based patient records

George Hripcsak, Clement J. McDonald, 1992 .

Two Applications of Statistical Modelling to Natural Language Processing

George Hripcsak, Carol Friedman, Stephen B. Johnson, 1995, AISTATS.

High-fidelity phenotyping: richness and freedom from bias

George Hripcsak, David J. Albers, G. Hripcsak, 2017, J. Am. Medical Informatics Assoc..

Application of Information Technology: Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: Technical Implementation

George Hripcsak, Justin Starren, Soumitra Sengupta, 2002, J. Am. Medical Informatics Assoc..

Using Timeline Displays to Improve Medication Reconciliation

George Hripcsak, James J. Cimino, Xinxin Zhu, 2009, 2009 International Conference on eHealth, Telemedicine, and Social Medicine.

Evaluation of a UMLS Auditing Process of Semantic Type Assignments

George Hripcsak, James Geller, Yehoshua Perl, 2007, AMIA.

Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management

Lena Mamykina, Arlene M. Smaldone, George Hripcsak, 2016, Int. J. Medical Informatics.

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

George Hripcsak, David Madigan, Martijn J Schuemie, 2018, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

A Framework for Assessing Clinical Data Suitability for Observational Study

George Hripcsak, Chunhua Weng, Ning Shang, 2015, AMIA.

The effect of sample size and disease prevalence on supervised machine learning of narrative data

George Hripcsak, Lawrence K. McKnight, Adam B. Wilcox, 2002, AMIA.

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

George Hripcsak, Elmer V. Bernstam, Joel Saltz, 2013, EGEMS.

Research Paper: Syndromic Surveillance Using Ambulatory Electronic Health Records

Li Li, George Hripcsak, Carol Friedman, 2009, J. Am. Medical Informatics Assoc..

Defining and measuring completeness of electronic health records for secondary use

George Hripcsak, Chunhua Weng, Nicole Gray Weiskopf, 2013, J. Biomed. Informatics.

Knowledge Discovery in a Clinical Information System to Analyze Patterns of Asthma Hospitalization

Joseph Finkelstein, George Hripcsak, Manuel R. Cabrera, 1999, AMIA.

Methodological Review: A review of causal inference for biomedical informatics

George Hripcsak, Samantha Kleinberg, G. Hripcsak, 2011 .

Gene symbol disambiguation using knowledge-based profiles

George Hripcsak, Marianthi Markatou, Carol Friedman, 2007, Bioinform..

Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network

George Hripcsak, Borim Ryu, Sooyoung Yoo, 2020, J. Am. Medical Informatics Assoc..

Interim Results of a Randomized Controlled Trial on Inpatient Engagement

Steven K. Feiner, George Hripcsak, Suzanne Bakken, 2015, AMIA.

Electronic Health Record Systems

George Hripcsak, Clement J. McDonald, Paul C. Tang, 2014 .

Representing information in patient reports using natural language processing and the extensible markup language.

Hongfang Liu, George Hripcsak, Carol Friedman, 1999, Journal of the American Medical Informatics Association : JAMIA.

Data-driven medical knowled-based systems based on Arden Syntax

George Hripcsak, Nosrat Shahsavar, Ove Wigertz, 1994 .

Physics of the Medical Record: Handling Time in Health Record Studies

George Hripcsak, G. Hripcsak, 2015, AIME.

Evolution of a knowledge base for a clinical decision support system encoded in the Arden Syntax

George Hripcsak, Hao Huang, Paul D. Clayton, 1998, AMIA.

Development and Validation of Phenotype Classifiers across Multiple Sites in the Observational Health Sciences and Informatics (OHDSI) Network

George Hripcsak, Borim Ryu, Nigam H. Shah, 2019 .

Emergency Department Access to a Longitudinal Medical Record

George Hripcsak, Adam B. Wilcox, Soumitra Sengupta, 2007, J. Am. Medical Informatics Assoc..

Automated abstraction of medical records for assessing patient outcomes

George Hripcsak, Jen-Hsiang Chuang, G. Hripcsak, 2003 .

Requirements of a Sharable Guideline Representation for Computer Applications

George Hripcsak, James J. Cimino, Samson W. Tu, 1996 .

Observational Health Data Sciences and Informatics (OHDSI): A Rapidly Growing International Network for Open Science and Data Analytics in Healthcare

George Hripcsak, Patrick B. Ryan, Jon D. Duke, 2016, CRI.

Hereditary Disease Discovery from a Clinical Data Warehouse

George Hripcsak, Hong Yu, 2000, AMIA.

A statistical methodology for analyzing co-occurrence data from a large sample

George Hripcsak, Marianthi Markatou, Hui Cao, 2007, J. Biomed. Informatics.

An Audit Server for Monitoring Usage of Clinical Information Systems

George Hripcsak, Randolph C. Barrows, Paul D. Clayton, 1998, AMIA.

Research Paper: A Reliability Study for Evaluating Information Extraction from Radiology Reports

George Hripcsak, Carol Friedman, Gilad J. Kuperman, 1999, J. Am. Medical Informatics Assoc..

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

George Hripcsak, Reed M. Gardner, Randolph A. Miller, 2005, J. Am. Medical Informatics Assoc..

Designing for Adoption: A Living Laboratory for Health IT

Steven K. Feiner, Lena Mamykina, George Hripcsak, 2010 .

Development and validation of an electronic phenotyping algorithm for chronic kidney disease

George Hripcsak, Girish N. Nadkarni, Chunhua Weng, 2014, AMIA.

System Architecture for Temporal Information Extraction, Representationand Reasoning in Clinical Narrative Reports

George Hripcsak, Carol Friedman, Simon Parsons, 2005, AMIA.

Design and function of medical knowledge editors for the Arden Syntax

George Hripcsak, Nosrat Shahsavar, Gao Xiao-Ming, 1992 .

Architectural Strategies and Issues with Health Information Exchange

George Hripcsak, Gilad J. Kuperman, R. Scott Evans, 2006, AMIA.

Structured scaffolding for reflection and problem solving in diabetes self-management: qualitative study of mobile diabetes detective

Elizabeth M. Heitkemper, Lena Mamykina, Arlene M. Smaldone, 2016, J. Am. Medical Informatics Assoc..

Research Paper: Automated Tuberculosis Detection

George Hripcsak, Nilesh L. Jain, Charles Knirsch, 1997, J. Am. Medical Informatics Assoc..

Qualitative Study of an Electronic Tool for Facilitating Problem-Solving and Sensemaking in Diabetes Self-Management, Mobile Diabetes Detectiv

Elizabeth M. Heitkemper, Lena Mamykina, Arlene M. Smaldone, 2015, AMIA.

Viewpoint Paper: Repurposing the Clinical Record: Can an Existing Natural Language Processing System De-identify Clinical Notes?

Li Li, George Hripcsak, Albert M. Lai, 2009, J. Am. Medical Informatics Assoc..

Improving condition severity classification with an efficient active learning based framework

Yuval Shahar, George Hripcsak, Yuval Elovici, 2016, J. Biomed. Informatics.

Using Metadata to Integrate Medical Knowledge in a Clinical Information System

George Hripcsak, Carol Friedman, Stephen B. Johnson, 1990 .

Uncovering exposures responsible for birth season – disease effects: a global study

Li Li, Phung Anh Nguyen, Yu-Chuan Li, 2017, J. Am. Medical Informatics Assoc..

The Value of an Open-Source Observational Research Collaboratory: Results from the OHDSI Initiative

George Hripcsak, Patrick B. Ryan, Jon D. Duke, 2015, AMIA.

Health data use, stewardship, and governance: ongoing gaps and challenges: a report from AMIA's 2012 Health Policy Meeting

George Hripcsak, Christopher G. Chute, Charles Safran, 2014, J. Am. Medical Informatics Assoc..

Telematic System for Monitoring of Asthma Severity in Patients' Homes

Joseph Finkelstein, George Hripcsak, Manuel R. Cabrera, 1998, MedInfo.

Call for papers: Deep phenotyping for Precision Medicine

George Hripcsak, Chunhua Weng, Nigam H. Shah, 2018, J. Biomed. Informatics.

Inter-patient distance metrics using SNOMED CT defining relationships

George Hripcsak, Marianthi Markatou, Simon Parsons, 2006, J. Biomed. Informatics.

A Generalized Relational Schema for an Integrated Clinical Patient Database.

George Hripcsak, Carol Friedman, Stephen B. Johnson, 1990 .

Inter-rater Agreement in Physician-coded Problem Lists

George Hripcsak, Harold P. Lehmann, Adam S. Rothschild, 2005, AMIA.

Coding Neuroradiology Reports for the Northern Manhattan Stroke Study: A Comparison of Natural Language Processing and Manual Review

George Hripcsak, Carol Friedman, Ralph L. Sacco, 2000, Comput. Biomed. Res..

A Health Information Network for Managing Innercity Tuberculosis: Bridging Clinical Care, Public Health, and Home Care,

George Hripcsak, Nilesh L. Jain, Terry Fulmer, 1999, Comput. Biomed. Res..

Creating an environment for linking knowledge-based systems to a clinical database: a suite of tools

George Hripcsak, Adam B. Wilcox, C. Chen, 1997, AMIA.

Use abstracted patient-specific features to assist an information-theoretic measurement to assess similarity between medical cases

George Hripcsak, Marianthi Markatou, Genevieve B. Melton, 2008, J. Biomed. Informatics.

Selecting information in electronic health records for knowledge acquisition

Xiaoyan Wang, George Hripcsak, Marianthi Markatou, 2010, J. Biomed. Informatics.

A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships

George Hripcsak, James Geller, Yan Chen, 2015, J. Am. Medical Informatics Assoc..

Origins of the Arden Syntax

George Hripcsak, Paul D. Clayton, Ove Wigertz, 2015, Artif. Intell. Medicine.

Making grandma's data secure: a security architecture for home telemedicine

George Hripcsak, Justin Starren, Soumitra Sengupta, 2001, AMIA.

A comparison of the Charlson comorbidities derived from medical language processing and administrative data

George Hripcsak, Carol Friedman, Jen-Hsiang Chuang, 2002, AMIA.

Informatics Lessons from Using a Novel Immunization Information System

George Hripcsak, Gilad J. Kuperman, David K. Vawdrey, 2013, MedInfo.

An expert study evaluating the UMLS lexical metaschema

George Hripcsak, Li Zhang, James Geller, 2005, Artif. Intell. Medicine.

Handling Implicit and Uncertain Temporal Information in Medical Text

George Hripcsak, Simon Parsons, Li Zhou, 2006, AMIA.

Of truth and pathways: chasing bits of information through myriads of articles

Michael Krauthammer, George Hripcsak, Carol Friedman, 2002, ISMB.

Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms

George Hripcsak, Noémie Elhadad, David J. Albers, 2018, J. Biomed. Informatics.

Knowledge discovery and data mining to assist natural language understanding

George Hripcsak, Adam B. Wilcox, G. Hripcsak, 1998, AMIA.

Developing common methods for evaluating health information exchange

George Hripcsak, 2007, J. Biomed. Informatics.

Disseminating Natural Language Processed Clinical Narratives

George Hripcsak, Carol Friedman, Elizabeth S. Chen, 2006, AMIA.

Informatics to support the IOM social and behavioral domains and measures

George Hripcsak, William W. Stead, Christopher B. Forrest, 2015, J. Am. Medical Informatics Assoc..

Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection

George Hripcsak, Nicholas P. Tatonetti, Hyunmi Choi, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Research Paper: The Role of Domain Knowledge in Automating Medical Text Report Classification

George Hripcsak, Adam B. Wilcox, G. Hripcsak, 2003, J. Am. Medical Informatics Assoc..

Patients' acceptance of Internet-based home asthma telemonitoring

Joseph Finkelstein, George Hripcsak, Manuel R. Cabrera, 1998, AMIA.

Temporal Properties of Diagnosis Code Time Series in Aggregate

George Hripcsak, Adler J. Perotte, A. Perotte, 2013, IEEE Journal of Biomedical and Health Informatics.

Fuzzy Temporal Constraint Networks for Clinical Information

George Hripcsak, Simon Parsons, Albert M. Lai, 2008, AMIA.

Revealing structures in narratives: A mixed-methods approach to studying interdisciplinary handoff in critical care

Lena Mamykina, George Hripcsak, Sarah A. Collins, 2016, J. Biomed. Informatics.

Using an Inpatient Personal Health Record to Enhance Patient-Provider Communication

Steven K. Feiner, George Hripcsak, Daniel M. Stein, 2012, AMIA.

Comparing and consolidating two heuristic metaschemas

George Hripcsak, James Geller, Yehoshua Perl, 2008, J. Biomed. Informatics.

Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods

Yuval Shahar, George Hripcsak, Yuval Elovici, 2017, Artif. Intell. Medicine.

George Hripcsak, Carol Friedman, Lourdes Santana, 2014, Nature Protocols.

Challenges with quality of race and ethnicity data in observational databases

George Hripcsak, Adler Perotte, David K Vawdrey, 2019, J. Am. Medical Informatics Assoc..

Patient-provided Data Improves Race and Ethnicity Data Quality in Electronic Health Records

George Hripcsak, David K. Vawdrey, Adler J. Perotte, 2016, AMIA.

UMLS as Knowledge Base-A Rule-Based Expert System Approach to Controlled Medical Vocabulary Management.

George Hripcsak, Carol Friedman, Stephen B. Johnson, 1990 .

Enhancing a Computerized Order Entry System to Intercept Wrong-Patient Orders

George Hripcsak, Suzanne Bakken, David K. Vawdrey, 2012, AMIA.

Research Paper: Knowledge-based Approaches to the Maintenance of a Large Controlled Medical Terminology

George Hripcsak, Stephen B. Johnson, Paul D. Clayton, 1994, J. Am. Medical Informatics Assoc..

Ensuring Reproducibility in Observational Research: Building and Sharing Knowledge Resources in the OHDSI Network

George Hripcsak, Patrick B. Ryan, Jon D. Duke, 2016, AMIA.

A Large Scale, Cross-disease Family Health History Data Set

George Hripcsak, Hong Yu, 2000, AMIA.

Using Electronic Data To Profile Population Health and Identify Clinical Evidence Gaps: Towards Precision Clinical Research Design

Jie Gao, George Hripcsak, Chunhua Weng, 2014 .

Leveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associations

George Hripcsak, Santiago Vilar, S. Vilar, 2016, Journal of Cheminformatics.

A Native XML Database Design for Clinical Document Research

Michael Krauthammer, George Hripcsak, Carol Friedman, 2003, AMIA.

Reference Standards, Judges, and Comparison Subjects

George Hripcsak, Adam B. Wilcox, G. Hripcsak, 2002 .

Effect of vocabulary mapping for conditions on phenotype cohorts

George Hripcsak, Patrick B. Ryan, Matthew E. Levine, 2018, J. Am. Medical Informatics Assoc..

Using Palmtop Computers to Retrieve Clinical Information

George Hripcsak, Adam B. Wilcox, Charles Knirsch, 1997, AMIA.

Considering clustering: a methodological review of clinical decision support system studies

George Hripcsak, Robert A. Jenders, Jen-Hsiang Chuang, 2000, AMIA.

Application for Epidemiological Geographic Information System: An Open-Source Spatial Analysis Tool based on the Common Data Model (Preprint)

George Hripcsak, Seng Chan You, Jaehyeong Cho, 2019 .

A plea to stop using the case‐control design in retrospective database studies

George Hripcsak, Martijn J Schuemie, Marc A Suchard, 2019, Statistics in medicine.

Knowledge Representation and Data Model to Support Medical Knowledge Base Transportability.

George Hripcsak, Paul D. Clayton, Ove Wigertz, 1991 .

Sharing Medical Knowledge for Automated Decision-Making

George Hripcsak, Stephen B. Johnson, Paul D. Clayton, 1988 .

Automated Real-Time Detection and Notification of Positive Infection Cases

George Hripcsak, David Wajngurt, Elizabeth S. Chen, 2006, AMIA.

How Confident Are We about Observational Findings in Healthcare: A Benchmark Study.

George Hripcsak, Patrick B. Ryan, Martijn J. Schuemie, 2020, Harvard data science review.

Automated Identification of Shortcuts to Patient Data for a Wireless Handheld Clinical Information System

George Hripcsak, Vimla L. Patel, James J. Cimino, 2003, AMIA.

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

George Hripcsak, Genevieve B. Melton, G. Hripcsak, 2005, Journal of the American Medical Informatics Association : JAMIA.

Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data

Elizabeth M. Heitkemper, Lena Mamykina, George Hripcsak, 2017, J. Biomed. Informatics.

Model selection for EHR laboratory variables: how physiology and the health care process can influence EHR laboratory data and their model representations

George Hripcsak, Noémie Elhadad, David J. Albers, 2014, AMIA.

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

George Hripcsak, Philip R. O. Payne, Judith R. Logan, 2013, Medical care.

The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug–drug interactions

George Hripcsak, Santiago Vilar, S. Vilar, 2016, Briefings Bioinform..

Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study

George Hripcsak, David Madigan, Martijn J Schuemie, 2021, J. Am. Medical Informatics Assoc..

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions

George Hripcsak, Chunhua Weng, Jennifer A. Pacheco, 2021, BMC Medical Informatics and Decision Making.

Delay-induced uncertainty for a paradigmatic glucose-insulin model.

George Hripcsak, Bhargav Karamched, David Albers, 2020, Chaos.

A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming?

George Hripcsak, Charlene R. Weir, Justin Starren, 2021, J. Am. Medical Informatics Assoc..

Electronic Health Records

George Hripcsak, Clement J. McDonald, Genevieve B. Melton, 2021, Biomedical Informatics.

Data Consult Service: Can we use observational data to address immediate clinical needs?

George Hripcsak, Anna Ostropolets, Ruijun Chen, 2021, J. Am. Medical Informatics Assoc..

Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild.

Lena Mamykina, George Hripcsak, Noemie Elhadad, 2021, CHI Extended Abstracts.

Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation

Lena Mamykina, George Hripcsak, David J. Albers, 2021, PLoS Comput. Biol..

Clinical comparison between trial participants and potentially eligible patients using electronic health record data: A generalizability assessment method

George Hripcsak, Chunhua Weng, Ying Kuen Cheung, 2021, J. Biomed. Informatics.

Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review

George Hripcsak, Chunhua Weng, Ying Kuen Cheung, 2020, J. Am. Medical Informatics Assoc..

Adjusting for Unobserved Confounding Using Large-Scale Propensity Scores

George Hripcsak, David Blei, Linying Zhang, 2021 .

Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin

George Hripcsak, Patrick B. Ryan, Kipp W. Johnson, 2018, JAMA network open.

The Role of Housestaff in Implementing Medication Reconciliation on Admission at an Academic Medical Center

George Hripcsak, Eliot J Lazar, Peter Fleischut, 2011, American journal of medical quality : the official journal of the American College of Medical Quality.

LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins

George Hripcsak, Joshua C. Denny, Peggy L. Peissig, 2018, Circulation.

Using narratives as a source to automatically learn phenotype models

George Hripcsak, Mary Regina Boland, Nigam H. Shah, 2014 .

Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling

George Hripcsak, Nicholas P. Tatonetti, Santiago Vilar, 2015, PloS one.

Offline and online data assimilation for real-time blood glucose forecasting in type 2 diabetes

Lena Mamykina, George Hripcsak, Matthew E Levine, 2017, 1709.00163.

A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury.

George Hripcsak, Carol Friedman, Yufeng Shen, 2013, Journal of the American Medical Informatics Association : JAMIA.

Engaging hospitalized patients in clinical care: Study protocol for a pragmatic randomized controlled trial.

Steven K. Feiner, George Hripcsak, Suzanne Bakken, 2016, Contemporary clinical trials.

Renin-angiotensin system blockers and susceptibility to COVID-19: a multinational open science cohort study

Christophe G. Lambert, George Hripcsak, Patrick B. Ryan, 2020, medRxiv.

Computational Drug Target Screening through Protein Interaction Profiles

George Hripcsak, Fernanda Borges, Santiago Vilar, 2016, Scientific Reports.

Promoting Patient Safety and Enabling Evidence-Based Practice Through Informatics

George Hripcsak, Suzanne Bakken, James J Cimino, 2004, Medical care.

An HL7 Toolkit

George Hripcsak, Paul D. Clayton, Soumitra Sengupta, 1993 .

Using health information exchange to improve public health.

George Hripcsak, Farzad Mostashari, Gilad Kuperman, 2011, American journal of public health.

Heart Rate Variability for Preclinical Detection of Secondary Complications After Subarachnoid Hemorrhage

George Hripcsak, Daby Sow, Jan Claassen, 2014, Neurocritical Care.

Impact of electronic medication reconciliation at hospital admission on clinician workflow.

George Hripcsak, David K Vawdrey, Nancy Chang, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Deep Phenotyping on Electronic Health Records Facilitates Genetic Diagnosis by Clinical Exomes.

George Hripcsak, Carol Friedman, Chunhua Weng, 2018, American journal of human genetics.

Practical considerations in genomic decision support: The eMERGE experience

Keith Marsolo, Suzette J. Bielinski, Gerard Tromp, 2015, Journal of pathology informatics.

Clinical Information Systems Integration in New York City's First Mobile Stroke Unit

George Hripcsak, Benjamin Kummer, Hooman Kamel, 2018, Applied Clinical Informatics.

Evaluation considerations for EHR-based phenotyping algorithms: A case study for drug-induced liver injury

George Hripcsak, Carol Friedman, Chunhua Weng, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Web-based monitoring of asthma severity: a new approach to ambulatory management

Joseph Finkelstein, George Hripcsak, Manuel R. Cabrera, 1998, Proceedings. 1998 IEEE International Conference on Information Technology Applications in Biomedicine, ITAB '98 (Cat. No.98EX188).

Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records

George Hripcsak, Michel Dumontier, Alison Callahan, 2015, Drug Safety.

3D Pharmacophoric Similarity improves Multi Adverse Drug Event Identification in Pharmacovigilance

George Hripcsak, Nicholas P. Tatonetti, Santiago Vilar, 2015, Scientific Reports.

Accelerating the use of electronic health records in physician practices.

George Hripcsak, G. Hripcsak, S. Shea, 2010, The New England journal of medicine.

Nonconvulsive seizures after subarachnoid hemorrhage: Multimodal detection and outcomes

George Hripcsak, Adler Perotte, Jan Claassen, 2013, Annals of neurology.

Intercepting wrong-patient orders in a computerized provider order entry system.

George Hripcsak, Hojjat Salmasian, David K Vawdrey, 2015, Annals of emergency medicine.

Modeling Prognostic Factors in Resectable Pancreatic Adenocarcinomas

George Hripcsak, Chunhua Weng, Gunnar Hartvigsen, 2009, Cancer informatics.

Developing a multivariable prognostic model for pancreatic endocrine tumors using the clinical data warehouse resources of a single institution

George Hripcsak, Chunhua Weng, Gunnar Hartvigsen, 2010, Thrombosis and Haemostasis.

Potential utility of precision medicine for older adults with polypharmacy: a case series study

Joseph Finkelstein, George Hripcsak, Carol Friedman, 2016, Pharmacogenomics and personalized medicine.

Evaluation of an Automated Pressure Ulcer Risk Assessment Model

George Hripcsak, Tara Borlawsky, Tara B Borlawsky, 2007 .

Estimating heritability of drug-induced liver injury from common variants and implications for future study designs

George Hripcsak, Yufeng Shen, Casey Lynnette Overby, 2014, Scientific Reports.

Pharmacogenetic polymorphism as an independent risk factor for frequent hospitalizations in older adults with polypharmacy: a pilot study

Joseph Finkelstein, George Hripcsak, Carol Friedman, 2016, Pharmacogenomics and personalized medicine.

Physician Attitudes toward Adopting Genome-Guided Prescribing through Clinical Decision Support

Joseph L. Kannry, George Hripcsak, Casey Lynnette Overby, 2014, Journal of personalized medicine.

Risk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network

George Hripcsak, Patrick B. Ryan, Jon D. Duke, 2017, Epilepsia.

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

George Hripcsak, Jenna Reps, Rupa Makadia, 2020, The Lancet Rheumatology.

Opportunities for genomic clinical decision support interventions

George Hripcsak, Chunhua Weng, Joshua C Denny, 2013, Genetics in Medicine.

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

George Hripcsak, David Madigan, Martijn J Schuemie, 2019, The Lancet.