Research Paper: Knowledge-based Approaches to the Maintenance of a Large Controlled Medical Terminology. - James J. Cimino; Paul D. Clayton; George Hripcsak; Stephen B. Johnson (J. Am. Medical Informatics Assoc., 1994)

Two Applications of Statistical Modelling to Natural Language Processing. - William DuMouchel; Carol Friedman; George Hripcsak; Stephen B. Johnson; Paul D. Clayton (AISTATS, 1995)

Natural language processing in an operational clinical information system. - Carol Friedman; George Hripcsak; William DuMouchel; Stephen B. Johnson; Paul D. Clayton (Nat. Lang. Eng., 1995)

Research Paper: Access to Data: Comparing AccessMed With Query by Review. - George Hripcsak; Barry Allen; James J. Cimino; Robert Lee (J. Am. Medical Informatics Assoc., 1996)

Creating an environment for linking knowledge-based systems to a clinical database: a suite of tools. - Adam B. Wilcox; George Hripcsak; C. Chen (AMIA, 1997)

Using Palmtop Computers to Retrieve Clinical Information. - Adam B. Wilcox; George Hripcsak; Charles Knirsch (AMIA, 1997)

Research Paper: Automated Tuberculosis Detection. - George Hripcsak; Charles Knirsch; Nilesh L. Jain; Ariel Pablos-Mendez (J. Am. Medical Informatics Assoc., 1997)

Patients' acceptance of Internet-based home asthma telemonitoring. - Joseph Finkelstein; George Hripcsak; Manuel R. Cabrera (AMIA, 1998)

An evaluation of natural language processing methodologies. - Carol Friedman; George Hripcsak; Irina Shablinsky (AMIA, 1998)

An Audit Server for Monitoring Usage of Clinical Information Systems. - Richard J. Gallagher; Soumitra Sengupta; George Hripcsak; Randolph C. Barrows Jr.; Paul D. Clayton (AMIA, 1998)

Evolution of a knowledge base for a clinical decision support system encoded in the Arden Syntax. - Robert A. Jenders; Hao Huang; George Hripcsak; Paul D. Clayton (AMIA, 1998)

Natural Language as a Tool in the Development of a Controlled Vocabulary. - Adam B. Wilcox; Carol Friedman; George Hripcsak (AMIA, 1998)

Knowledge discovery and data mining to assist natural language understanding. - Adam B. Wilcox; George Hripcsak (AMIA, 1998)

Telematic System for Monitoring of Asthma Severity in Patients' Homes. - Joseph Finkelstein; George Hripcsak; Manuel R. Cabrera (MedInfo, 1998)

Use of Clinical Data in Genetic Research: The Value of Narrative Data in Electronic Medical Records. - Jinsong Cai; Rudolph L. Leibel; George Hripcsak (AMIA, 1999)

Knowledge Discovery in a Clinical Information System to Analyze Patterns of Asthma Hospitalization. - Joseph Finkelstein; George Hripcsak; Manuel R. Cabrera (AMIA, 1999)

Automating a severity score guideline for community-acquired pneumonia employing medical language processing of discharge summaries. - Carol Friedman; Charles Knirsch; Lyudmila Shagina; George Hripcsak (AMIA, 1999)

WebCIS: large scale deployment of a Web-based clinical information system. - George Hripcsak; James J. Cimino; Soumitra Sengupta (AMIA, 1999)

Classification algorithms applied to narrative reports. - Adam B. Wilcox; George Hripcsak (AMIA, 1999)

Research Paper: Representing Information in Patient Reports Using Natural Language Processing and the Extensible Markup Language. - Carol Friedman; George Hripcsak; Lyudmila Shagina; Hongfang Liu (J. Am. Medical Informatics Assoc., 1999)

Research Paper: A Reliability Study for Evaluating Information Extraction from Radiology Reports. - George Hripcsak; Gilad J. Kuperman; Carol Friedman; Daniel F. Heitjan (J. Am. Medical Informatics Assoc., 1999)

A Health Information Network for Managing Innercity Tuberculosis: Bridging Clinical Care, Public Health, and Home Care, . - George Hripcsak; Charles Knirsch; Nilesh L. Jain; Richard C. Stazesky Jr.; Ariel Pablos-Mendez; Terry Fulmer (Comput. Biomed. Res., 1999)

Generic data modeling for home telemonitoring of chronically ill patients. - Jinsong Cai; Stephen B. Johnson; George Hripcsak (AMIA, 2000)

Considering clustering: a methodological review of clinical decision support system studies. - Jen-Hsiang Chuang; George Hripcsak; Robert A. Jenders (AMIA, 2000)

Medical text representations for inductive learning. - Adam B. Wilcox; George Hripcsak (AMIA, 2000)

Hereditary Disease Discovery from a Clinical Data Warehouse. - Hong Yu 001; George Hripcsak (AMIA, 2000)

A Large Scale, Cross-disease Family Health History Data Set. - Hong Yu 001; George Hripcsak (AMIA, 2000)

Coding Neuroradiology Reports for the Northern Manhattan Stroke Study: A Comparison of Natural Language Processing and Manual Review. - Jacob S. Elkins; Carol Friedman; Bernadette Boden-Albala; Ralph L. Sacco; George Hripcsak (Comput. Biomed. Res., 2000)

Evaluating the UMLS as a source of lexical knowledge for medical language processing. - Carol Friedman; Hongfang Liu; Lyudmila Shagina; Stephen B. Johnson; George Hripcsak (AMIA, 2001)

A knowledge model for the interpretation and visualization of NLP-parsed discharged summaries. - Michael Krauthammer; George Hripcsak (AMIA, 2001)

Making grandma's data secure: a security architecture for home telemedicine. - Justin Starren; Soumitra Sengupta; George Hripcsak; G. Ring; R. Klerer; Steven Shea (AMIA, 2001)

Case-based Reasoning for Medical Risk Stratification: Contrast Associated Nephropathy. - Davis Bu; George Hripcsak (AMIA, 2002)

A comparison of the Charlson comorbidities derived from medical language processing and administrative data. - Jen-Hsiang Chuang; Carol Friedman; George Hripcsak (AMIA, 2002)

Representing nested semantic information in a linear string of text using XML. - Michael Krauthammer; Stephen B. Johnson; George Hripcsak; David A. Campbell; Carol Friedman (AMIA, 2002)

The effect of sample size and disease prevalence on supervised machine learning of narrative data. - Lawrence K. McKnight; Adam B. Wilcox; George Hripcsak (AMIA, 2002)

The Companion Project - A Wearable Computing Device for the Patient for Reducing Medical Errors and Improving Patient Care. - Matthew Scotch; George Hripcsak (AMIA, 2002)

The sublanguage of cross-coverage. - Peter D. Stetson; Stephen B. Johnson; Matthew Scotch; George Hripcsak (AMIA, 2002)

Knowledge Discovery Using the Electronic Medical Record. - Adam B. Wilcox; George Hripcsak; Charles Knirsch (AMIA, 2002)

Of truth and pathways: chasing bits of information through myriads of articles. - Michael Krauthammer; Pauline Kra; Ivan Iossifov; Shawn M. Gomez; George Hripcsak; Vasileios Hatzivassiloglou; Carol Friedman; Andrey Rzhetsky (ISMB, 2002)

Review Paper: Design and Analysis of Controlled Trials in Naturally Clustered Environments: Implications for Medical Informatics. - Jen-Hsiang Chuang; George Hripcsak; Daniel F. Heitjan (J. Am. Medical Informatics Assoc., 2002)

Review Paper: Reference Standards, Judges, and Comparison Subjects: Roles for Experts in Evaluating System Performance. - George Hripcsak; Adam B. Wilcox (J. Am. Medical Informatics Assoc., 2002)

Research Methods: Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: Rationale and Design. - Steven Shea; Justin Starren; Ruth S. Weinstock; Paul E. Knudson; Jeanne A. Teresi; Douglas Holmes; Walter Palmas; Lesley Field; Robin Goland; Catherine Tuck; George Hripcsak; Linnea Capps; et al. (J. Am. Medical Informatics Assoc., 2002)

Application of Information Technology: Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: Technical Implementation. - Justin Starren; George Hripcsak; Soumitra Sengupta; C. R. Abbruscato; Paul E. Knudson; Ruth S. Weinstock; Steven Shea (J. Am. Medical Informatics Assoc., 2002)

Research Paper: Mapping Abbreviations to Full Forms in Biomedical Articles. - Hong Yu 001; George Hripcsak; Carol Friedman (J. Am. Medical Informatics Assoc., 2002)

Measuring agreement in medical informatics reliability studies. - George Hripcsak; Daniel F. Heitjan (J. Biomed. Informatics, 2002)

Automated Identification of Shortcuts to Patient Data for a Wireless Handheld Clinical Information System. - Elizabeth S. Chen; George Hripcsak; Vimla L. Patel; Soumitra Sengupta; Richard J. Gallagher; James J. Cimino (AMIA, 2003)

An Experimental System for Comparing Speed, Accuracy, and Completeness of Physician Data Entry using Electronic and Paper Methods. - Michael F. Chiang; Hui Cao 002; Pallav Sharda; George Hripcsak; Justin B. Starren (AMIA, 2003)

A Native XML Database Design for Clinical Document Research. - Stephen B. Johnson; David A. Campbell; Michael Krauthammer; P. Karina Tulipano; Eneida A. Mendonça; Carol Friedman; George Hripcsak (AMIA, 2003)

GESDOR - A Generic Execution Model for Sharing of Computer-Interpretable Clinical Practice Guidelines. - Dongwen Wang; Mor Peleg; Davis Bu; Michael N. Cantor; Giora Landesberg; Eitan Lunenfeld; Samson W. Tu; Gail E. Kaiser; George Hripcsak; Vimla L. Patel; Edward H. Shortliffe (AMIA, 2003)

Review Paper: Detecting Adverse Events Using Information Technology. - David W. Bates; R. Scott Evans; Harvey J. Murff; Peter D. Stetson; Lisa Pizziferri; George Hripcsak (J. Am. Medical Informatics Assoc., 2003)

Editorial Comments: Policy and the Future of Adverse Event Detection Using Information Technology. - David W. Bates; R. Scott Evans; Harvey J. Murff; Peter D. Stetson; Lisa Pizziferri; George Hripcsak (J. Am. Medical Informatics Assoc., 2003)

Research Paper: The Role of Domain Knowledge in Automating Medical Text Report Classification. - Adam B. Wilcox; George Hripcsak (J. Am. Medical Informatics Assoc., 2003)

Assessing explicit error reporting in the narrative electronic medical record using keyword searching. - Hui Cao 002; Peter D. Stetson; George Hripcsak (J. Biomed. Informatics, 2003)

Mining complex clinical data for patient safety research: a framework for event discovery. - George Hripcsak; Suzanne Bakken; Peter D. Stetson; Vimla L. Patel (J. Biomed. Informatics, 2003)

Detecting adverse events for patient safety research: a review of current methodologies. - Harvey J. Murff; Vimla L. Patel; George Hripcsak; David W. Bates (J. Biomed. Informatics, 2003)

Research Paper: Automated Encoding of Clinical Documents Based on Natural Language Processing. - Carol Friedman; Lyudmila Shagina; Yves A. Lussier; George Hripcsak (J. Am. Medical Informatics Assoc., 2004)

Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics. - Hui Cao 002; Marianthi Markatou; Genevieve B. Melton; Michael F. Chiang; George Hripcsak (AMIA, 2005)

Inter-rater Agreement in Physician-coded Problem Lists. - Adam S. Rothschild; Harold P. Lehmann; George Hripcsak (AMIA, 2005)

Electronic Discharge Summaries. - Peter D. Stetson; Alla Keselman; Daniel Rappaport; Tielman Van Vleck; Mary Cooper; Aurelia Boyer; George Hripcsak (AMIA, 2005)

System Architecture for Temporal Information Extraction, Representationand Reasoning in Clinical Narrative Reports. - Li Zhou 007; Carol Friedman; Simon Parsons; George Hripcsak (AMIA, 2005)

An expert study evaluating the UMLS lexical metaschema. - Li Zhang 048; George Hripcsak; Yehoshua Perl; Michael Halper; James Geller (Artif. Intell. Medicine, 2005)

A lexical metaschema for the UMLS semantic network. - Li Zhang 048; Yehoshua Perl; Michael Halper; James Geller; George Hripcsak (Artif. Intell. Medicine, 2005)

Technical Brief: Agreement, the F-Measure, and Reliability in Information Retrieval. - George Hripcsak; Adam S. Rothschild (J. Am. Medical Informatics Assoc., 2005)

Model Formulation: Modeling Electronic Discharge Summaries as a Simple Temporal Constraint Satisfaction Problem. - George Hripcsak; Li Zhou 007; Simon Parsons; Amar K. Das; Stephen B. Johnson (J. Am. Medical Informatics Assoc., 2005)

Research Paper: Automated Detection of Adverse Events Using Natural Language Processing of Discharge Summaries. - Genevieve B. Melton; George Hripcsak (J. Am. Medical Informatics Assoc., 2005)

Viewpoint Paper: Clinical Decision Support and Electronic Prescribing Systems: A Time for Responsible Thought and Action. - Randolph A. Miller; Reed M. Gardner; Kevin B. Johnson; George Hripcsak (J. Am. Medical Informatics Assoc., 2005)

Analysis of Variance of Cross-Validation Estimators of the Generalization Error. - Marianthi Markatou; Hong Tian; Shameek Biswas; George Hripcsak (J. Mach. Learn. Res., 2005)

A draft framework for measuring progress towards the development of a national health information infrastructure. - Dean F. Sittig; Richard N. Shiffman; Kevin J. Leonard; Charles P. Friedman; Barbara Rudolph; George Hripcsak; Laura L. Adams; Lawrence C. Kleinman; Rainu Kaushal (BMC Medical Informatics Decis. Mak., 2005)

Disseminating Natural Language Processed Clinical Narratives. - Elizabeth S. Chen; George Hripcsak; Carol Friedman (AMIA, 2006)

Automated Real-Time Detection and Notification of Positive Infection Cases. - Elizabeth S. Chen; David Wajngurt; Khalid Qureshi; Sandra Hyman; George Hripcsak (AMIA, 2006)

Architectural Strategies and Issues with Health Information Exchange. - Adam B. Wilcox; Gilad J. Kuperman; David A. Dorr; George Hripcsak; Scott P. Narus; Sidney N. Thornton; R. Scott Evans (AMIA, 2006)

Handling Implicit and Uncertain Temporal Information in Medical Text. - Li Zhou 007; Simon Parsons; George Hripcsak (AMIA, 2006)

Inter-patient distance metrics using SNOMED CT defining relationships. - Genevieve B. Melton; Simon Parsons; Frances P. Morrison; Adam S. Rothschild; Marianthi Markatou; George Hripcsak (J. Biomed. Informatics, 2006)

A temporal constraint structure for extracting temporal information from clinical narrative. - Li Zhou 007; Genevieve B. Melton; Simon Parsons; George Hripcsak (J. Biomed. Informatics, 2006)

Terminology model discovery using natural language processing and visualization techniques. - Li Zhou 007; Ying Tao; James J. Cimino; Elizabeth S. Chen; Hongfang Liu; Yves A. Lussier; George Hripcsak; Carol Friedman (J. Biomed. Informatics, 2006)

Detection of Practice Pattern Trends through Natural Language Processing of Clinical Narratives and Biomedical Literature. - Elizabeth S. Chen; Peter D. Stetson; Yves A. Lussier; Marianthi Markatou; George Hripcsak; Carol Friedman (AMIA, 2007)

Evaluation of a UMLS Auditing Process of Semantic Type Assignments. - Huanying Gu; George Hripcsak; Yan Chen 009; C. Paul Morrey; Gai Elhanan; James J. Cimino; James Geller; Yehoshua Perl (AMIA, 2007)

Analysis of Error Concentrations in SNOMED. - Michael Halper; Yue Wang 033; Hua Min; Yan Chen 009; George Hripcsak; Yehoshua Perl; Kent A. Spackman (AMIA, 2007)

Gene symbol disambiguation using knowledge-based profiles. - Hua Xu 001; Jungwei Fan 001; George Hripcsak; Eneida A. Mendonça; Marianthi Markatou; Carol Friedman (Bioinform., 2007)

Using discordance to improve classification in narrative clinical databases: An application to community-acquired pneumonia. - George Hripcsak; Charles Knirsch; Li Zhou 007; Adam B. Wilcox; Genevieve B. Melton (Comput. Biol. Medicine, 2007)

Emergency Department Access to a Longitudinal Medical Record. - George Hripcsak; Soumitra Sengupta; Adam B. Wilcox; Robert A. Green (J. Am. Medical Informatics Assoc., 2007)

A statistical methodology for analyzing co-occurrence data from a large sample. - Hui Cao 002; George Hripcsak; Marianthi Markatou (J. Biomed. Informatics, 2007)

Developing common methods for evaluating health information exchange. - George Hripcsak (J. Biomed. Informatics, 2007)

The United Hospital Fund meeting on evaluating health information exchange. - George Hripcsak; Rainu Kaushal; Kevin B. Johnson; Joan S. Ash; David W. Bates; Rachel Block; Mark E. Frisse; Lisa M. Kern; Janet Marchibroda; J. Marc Overhage; Adam B. Wilcox (J. Biomed. Informatics, 2007)

Development, implementation, and a cognitive evaluation of a definitional question answering system for physicians. - Hong Yu 001; Minsuk Lee; David R. Kaufman; John W. Ely; Jerome A. Osheroff; George Hripcsak; James J. Cimino (J. Biomed. Informatics, 2007)

Temporal reasoning with medical data - A review with emphasis on medical natural language processing. - Li Zhou 007; George Hripcsak (J. Biomed. Informatics, 2007)

Extracting Structured Medication Event Information from Discharge Summaries. - Sigfried Gold; Noémie Elhadad; Xinxin Zhu; James J. Cimino; George Hripcsak (AMIA, 2008)

Fuzzy Temporal Constraint Networks for Clinical Information. - Albert M. Lai; Simon Parsons; George Hripcsak (AMIA, 2008)

Auditing Complex Concepts in Overlapping Subsets of SNOMED. - Yue Wang 033; Duo Helen Wei; Junchuan Xu; Gai Elhanan; Yehoshua Perl; Michael Halper; Yan Chen 009; Kent A. Spackman; George Hripcsak (AMIA, 2008)

Evaluation of training with an annotation schema for manual annotation of clinical conditions from emergency department reports. - Wendy Webber Chapman; John N. Dowling; George Hripcsak (Int. J. Medical Informatics, 2008)

Research Paper: Automated Acquisition of Disease-Drug Knowledge from Biomedical and Clinical Documents: An Initial Study. - Elizabeth S. Chen; George Hripcsak; Hua Xu 001; Marianthi Markatou; Carol Friedman (J. Am. Medical Informatics Assoc., 2008)

Case Report: Using Social Network Analysis within a Department of Biomedical Informatics to Induce a Discussion of Academic Communities of Practice. - Jacqueline Merrill; George Hripcsak (J. Am. Medical Informatics Assoc., 2008)

Viewpoint Paper: A Model for Expanded Public Health Reporting in the Context of HIPAA. - Soumitra Sengupta; Neil S. Calman; George Hripcsak (J. Am. Medical Informatics Assoc., 2008)

Research Paper: The Evaluation of a Temporal Reasoning System in Processing Clinical Discharge Summaries. - Li Zhou 007; Simon Parsons; George Hripcsak (J. Am. Medical Informatics Assoc., 2008)

Use abstracted patient-specific features to assist an information-theoretic measurement to assess similarity between medical cases. - Hui Cao 002; Genevieve B. Melton; Marianthi Markatou; George Hripcsak (J. Biomed. Informatics, 2008)

Comparing and consolidating two heuristic metaschemas. - Yan Chen 009; Yehoshua Perl; James Geller; George Hripcsak; Li Zhang 048 (J. Biomed. Informatics, 2008)

Comparing Inconsistent Relationship Configurations Indicating UMLS Errors. - James Geller; C. Paul Morrey; Junchuan Xu; Michael Halper; Gai Elhanan; Yehoshua Perl; George Hripcsak (AMIA, 2009)

Using a pipeline to improve de-identification performance. - Frances P. Morrison; Soumitra Sengupta; George Hripcsak (AMIA, 2009)

The Evolving Use of a Clinical Data Repository: Facilitating Data Access Within an Electronic Medical Record. - Adam B. Wilcox; David K. Vawdrey; Yueh-Hsia Chen; Bruce Forman; George Hripcsak (AMIA, 2009)

Using Timeline Displays to Improve Medication Reconciliation. - Xinxin Zhu; Sigfried Gold; Albert M. Lai; George Hripcsak; James J. Cimino (eTELEMED, 2009)

Characterizing environmental and phenotypic associations using information theory and electronic health records. - Xiaoyan Wang; George Hripcsak; Carol Friedman (BMC Bioinform., 2009)

Research Paper: Using Empiric Semantic Correlation to Interpret Temporal Assertions in Clinical Texts. - George Hripcsak; Noemie Elhadad; Yueh-Hsia Chen; Li Zhou 007; Frances P. Morrison (J. Am. Medical Informatics Assoc., 2009)

Research Paper: Syndromic Surveillance Using Ambulatory Electronic Health Records. - George Hripcsak; Nicholas D. Soulakis; Li Li 062; Frances P. Morrison; Albert M. Lai; Carol Friedman; Neil S. Calman; Farzad Mostashari (J. Am. Medical Informatics Assoc., 2009)

Viewpoint Paper: Repurposing the Clinical Record: Can an Existing Natural Language Processing System De-identify Clinical Notes? - Frances P. Morrison; Li Li 062; Albert M. Lai; George Hripcsak (J. Am. Medical Informatics Assoc., 2009)

Viewpoint Paper: Large Datasets in Biomedicine: A Discussion of Salient Analytic Issues. - Anshu Sinha; George Hripcsak; Marianthi Markatou (J. Am. Medical Informatics Assoc., 2009)

Research Paper: Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study. - Xiaoyan Wang; George Hripcsak; Marianthi Markatou; Carol Friedman (J. Am. Medical Informatics Assoc., 2009)

Selecting information in electronic health records for knowledge acquisition. - Xiaoyan Wang; Herbert S. Chase; Marianthi Markatou; George Hripcsak; Carol Friedman (J. Biomed. Informatics, 2010)

Design lessons from the fastest q&a site in the west. - Lena Mamykina; Bella Manoim; Manas Mittal; George Hripcsak; Björn Hartmann (CHI, 2011)

Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations - David J. Albers; George Hripcsak (CoRR, 2011)

Exploiting time in electronic health record correlations. - George Hripcsak; David J. Albers; Adler J. Perotte (J. Am. Medical Informatics Assoc., 2011)

Use of electronic clinical documentation: time spent and team interactions. - George Hripcsak; David K. Vawdrey; Matthew R. Fred; Susan B. Bostwick (J. Am. Medical Informatics Assoc., 2011)

Minimizing electronic health record patient-note mismatches. - Adam B. Wilcox; Yueh-Hsia Chen; George Hripcsak (J. Am. Medical Informatics Assoc., 2011)

A review of causal inference for biomedical informatics. - Samantha Kleinberg; George Hripcsak (J. Biomed. Informatics, 2011)

Using Empirical orthogonal functions to identify temporally important variables to understand time-dependent pathophysiologic and phenotypic differences in patients. - David J. Albers; Jan Claassen; George Hripcsak (AMIA, 2012)

Enhancing a Computerized Order Entry System to Intercept Wrong-Patient Orders. - Robert A. Green; Susan B. Bostwick; George Hripcsak; Suzanne Bakken; Eliot Lazar; Mary Quinn; Tony Dawson; David K. Vawdrey (AMIA, 2012)

Using an Inpatient Personal Health Record to Enhance Patient-Provider Communication. - Alexander D. Sackeim; Lauren Wilcox; Susan Restaino; Daniel M. Stein; George Hripcsak; Suzanne Bakken; Steven Feiner; David K. Vawdrey (AMIA, 2012)

Impact of Meaningful Use and Organizational Strategies for Success. - William W. Stead; David W. Bates; George Hripcsak; Kevin B. Johnson; Walter Stewart (AMIA, 2012)

Proof of concept for the role of glycemic control in the early detection of infections in diabetics. - Taxiarchis Botsis; Albert M. Lai; George Hripcsak; Walter Palmas; Justin B. Starren; Gunnar Hartvigsen (Health Informatics J., 2012)

Visualizing the operating range of a classification system. - George Hripcsak (J. Am. Medical Informatics Assoc., 2012)

Clinical documentation: composition or synthesis? - Lena Mamykina; David K. Vawdrey; Peter D. Stetson; Kai Zheng 002; George Hripcsak (J. Am. Medical Informatics Assoc., 2012)

Using EHRs to integrate research with patient care: promises and challenges. - Chunhua Weng; Paul Appelbaum; George Hripcsak; Ian Kronish; Linda Busacca; Karina W. Davidson; J. Thomas Bigger (J. Am. Medical Informatics Assoc., 2012)

A study of terminology auditors' performance for UMLS semantic type assignments. - Huanying Gu; Gai Elhanan; Yehoshua Perl; George Hripcsak; James J. Cimino; Julia Xu; Yan Chen 009; James Geller; C. Paul Morrey (J. Biomed. Informatics, 2012)

Auditing complex concepts of SNOMED using a refined hierarchical abstraction network. - Yue Wang 033; Michael Halper; Duo Helen Wei; Huanying Gu; Yehoshua Perl; Junchuan Xu; Gai Elhanan; Yan Chen 009; Kent A. Spackman; James T. Case; George Hripcsak (J. Biomed. Informatics, 2012)

Using patient laboratory measurement values and dynamics to deconvolve EHR bias and define acuity-based phenotypes. - David J. Albers; Rimma Pivovarov; George Hripcsak; Noemie Elhadad (AMIA, 2013)

Training the Informatics Research Workforce, Part 2. - Valerie Florance; Perry L. Miller; Lucila Ohno-Machado; George Hripcsak; William R. Hersh; George Demiris (AMIA, 2013)

Using Electronic Health Records To Assess Generalizability of Clinical Trials. - Chunhua Weng; Yu Li; George Hripcsak; Yuan Zhang 004; Jie Gao; Feng Liu; J. Thomas Bigger (AMIA, 2013)

Informatics Lessons from Using a Novel Immunization Information System. - David K. Vawdrey; Karthik Natarajan; Andrew S. Kanter; George Hripcsak; Gilad J. Kuperman; Melissa S. Stockwell (MedInfo, 2013)

The future state of clinical data capture and documentation: a report from AMIA's 2011 Policy Meeting. - Caitlin M. Cusack; George Hripcsak; Meryl Bloomrosen; S. Trent Rosenbloom; Charlotte A. Weaver; Adam Wright; David K. Vawdrey; Jim Walker; Lena Mamykina (J. Am. Medical Informatics Assoc., 2013)

Next-generation phenotyping of electronic health records. - George Hripcsak; David J. Albers (J. Am. Medical Informatics Assoc., 2013)

Publication bias in clinical trials of electronic health records. - David K. Vawdrey; George Hripcsak (J. Biomed. Informatics, 2013)

Defining and measuring completeness of electronic health records for secondary use. - Nicole Gray Weiskopf; George Hripcsak; Sushmita Swaminathan; Chunhua Weng (J. Biomed. Informatics, 2013)

An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems. - Chunhua Weng; Yu Li; Solomon Berhe; Mary Regina Boland; Junfeng Gao; Gregory William Hruby; Richard C. Steinman; Carlos Lopez-Jimenez; Linda Busacca; George Hripcsak; Suzanne Bakken; J. Thomas Bigger (J. Biomed. Informatics, 2013)

Temporal Properties of Diagnosis Code Time Series in Aggregate. - Adler J. Perotte; George Hripcsak (IEEE J. Biomed. Health Informatics, 2013)

Model selection for EHR laboratory variables: how physiology and the health care process can influence EHR laboratory data and their model representations. - David J. Albers; Rimma Pivovarov; Noemie Elhadad; George Hripcsak (AMIA, 2014)

Development and validation of an electronic phenotyping algorithm for chronic kidney disease. - Girish N. Nadkarni; Omri Gottesman; James G. Linneman; Herbert S. Chase; Richard L. Berg; Samira Farouk; Vaneet Lotay; Stephen B. Ellis; George Hripcsak; Peggy L. Peissig; Chunhua Weng; Rajiv Nadukuru; et al. (AMIA, 2014)

Enabling claims-based decision support through non-interruptive capture of admission diagnoses and provider billing codes. - Colin G. Walsh; David K. Vawdrey; Peter D. Stetson; Matthew R. Fred; George Hripcsak (AMIA, 2014)

Health data use, stewardship, and governance: ongoing gaps and challenges: a report from AMIA's 2012 Health Policy Meeting. - George Hripcsak; Meryl Bloomrosen; Patti Flatley Brennan; Christopher G. Chute; James J. Cimino; Don E. Detmer; Margo Edmunds; Peter J. Embí; Melissa M. Goldstein; William Ed Hammond; Gail M. Keenan; Steven E. Labkoff; et al. (J. Am. Medical Informatics Assoc., 2014)

Brief communication: Changing the research landscape: the New York City Clinical Data Research Network. - Rainu Kaushal; George Hripcsak; Deborah D. Ascheim; Toby Bloom; Thomas R. Campion Jr.; Arthur L. Caplan; Brian P. Currie; Thomas Check; Emme Levin Deland; Marc N. Gourevitch; Raffaella Hart; Carol R. Horowitz; et al. (J. Am. Medical Informatics Assoc., 2014)

Brief communication: Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): Architecture. - Kenneth D. Mandl; Isaac S. Kohane; Douglas McFadden; Griffin M. Weber; Marc D. Natter; Joshua C. Mandel; Sebastian Schneeweiss; Sarah Weiler; Jeffrey G. Klann; Jonathan P. Bickel; William G. Adams; Yaorong Ge; et al. (J. Am. Medical Informatics Assoc., 2014)

Temporal trends of hemoglobin A1c testing. - Rimma Pivovarov; David J. Albers; George Hripcsak; Jorge L. Sepulveda; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2014)

Patient engagement in the inpatient setting: a systematic review. - Jennifer E. Prey; Janet Woollen; Lauren Wilcox; Alexander D. Sackeim; George Hripcsak; Suzanne Bakken; Susan Restaino; Steven Feiner; David K. Vawdrey (J. Am. Medical Informatics Assoc., 2014)

The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions. - Colin G. Walsh; George Hripcsak (J. Biomed. Informatics, 2014)

Physics of the Medical Record: Handling Time in Health Record Studies. - George Hripcsak (AIME, 2015)

An Active Learning Framework for Efficient Condition Severity Classification. - Nir Nissim; Mary Regina Boland; Robert Moskovitch; Nicholas P. Tatonetti; Yuval Elovici; Yuval Shahar; George Hripcsak (AIME, 2015)

Personalized medicine beyond genetics: using personalized model-based forecasting to help type 2 diabetics understand and predict their post-meal glucose. - David J. Albers; Matthew E. Levine; Bruce J. Gluckman; George Hripcsak; Lena Mamykina (AMIA, 2015)

Model Selection For EHR Laboratory Tests Preserving Healthcare Context and Underlying Physiology. - David J. Albers; Rimma Pivovarov; J. Michael Schmidt; Noemie Elhadad; George Hripcsak (AMIA, 2015)

The Value of an Open-Source Observational Research Collaboratory: Results from the OHDSI Initiative. - Jon D. Duke; George Hripcsak; Nigam Shah; Patrick B. Ryan (AMIA, 2015)

Qualitative Study of an Electronic Tool for Facilitating Problem-Solving and Sensemaking in Diabetes Self-Management, Mobile Diabetes Detectiv. - Lena Mamykina; Elizabeth M. Heitkemper; Arlene M. Smaldone; Rita Kukafka; Patricia G. Davidson; Elizabeth D. Mynatt; Jonathan N. Tobin; Andrea Cassells; Carrie Goodman; George Hripcsak (AMIA, 2015)

Interim Results of a Randomized Controlled Trial on Inpatient Engagement. - Jennifer E. Prey; Beatriz Ryan; Min Qian; Susan Restaino; Suzanne Bakken; Steven K. Feiner; Rebecca Schnall; George Hripcsak; Jungmi Han; David K. Vawdrey (AMIA, 2015)

A Framework for Assessing Clinical Data Suitability for Observational Study. - Ning Shang; Chunhua Weng; George Hripcsak (AMIA, 2015)

Outcomes Prediction via Time Intervals Related Patterns. - Robert Moskovitch; Colin G. Walsh; Fei Wang 001; George Hripcsak; Nicholas P. Tatonetti (ICDM, 2015)

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. - George Hripcsak; Jon D. Duke; Nigam H. Shah; Christian G. Reich; Vojtech Huser; Martijn J. Schuemie; Marc A. Suchard; Rae Woong Park; Ian Chi Kei Wong; Peter R. Rijnbeek; Johan van der Lei; Nicole Pratt; et al. (MedInfo, 2015)

Development and validation of a classification approach for extracting severity automatically from electronic health records. - Mary Regina Boland; Nicholas P. Tatonetti; George Hripcsak (J. Biomed. Semant., 2015)

Birth month affects lifetime disease risk: a phenome-wide method. - Mary Regina Boland; Zach Shahn; David Madigan; George Hripcsak; Nicholas P. Tatonetti (J. Am. Medical Informatics Assoc., 2015)

Parameterizing time in electronic health record studies. - George Hripcsak; David J. Albers; Adler J. Perotte (J. Am. Medical Informatics Assoc., 2015)

Informatics to support the IOM social and behavioral domains and measures. - George Hripcsak; Christopher B. Forrest; Patricia Flatley Brennan; William W. Stead (J. Am. Medical Informatics Assoc., 2015)

A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships. - Christopher Ochs; James Geller; Yehoshua Perl; Yan Chen 009; Ankur Agrawal; James T. Case; George Hripcsak (J. Am. Medical Informatics Assoc., 2015)

Using data assimilation to forecast post-meal glucose for patients with type 2 diabetes. - David J. Albers; Matthew E. Levine; Andrew M. Stuart; George Hripcsak; Lena Mamykina (AMIA, 2016)

Approaches for using temporal and other filters for next generation phenotype discovery. - David J. Albers; Adler J. Perotte; George Hripcsak (AMIA, 2016)

Bulk Learning on EHR Data. - Po-Hsiang Chiu; George Hripcsak (AMIA, 2016)

Ensuring Reproducibility in Observational Research: Building and Sharing Knowledge Resources in the OHDSI Network. - Jon D. Duke; Nigam H. Shah; George Hripcsak; Patrick B. Ryan (AMIA, 2016)

Comparing Lagged Linear Correlation, Lagged Regression, Granger Causality, and Vector Autoregression for Uncovering Associations in EHR Data. - Matthew E. Levine; David J. Albers; George Hripcsak (AMIA, 2016)

Calibration of Predictive Models for Clinical Decision Making: Personalizing Prevention, Treatment, and Disease Progression. - Lucila Ohno-Machado; George Hripcsak; Michael E. Matheny; Yuan Wu 003; Xiaoqian Jiang (AMIA, 2016)

Patient-provided Data Improves Race and Ethnicity Data Quality in Electronic Health Records. - Fernanda Polubriaginof; Hojjat Salmasian; Andrea W. Shapiro; Jennifer E. Prey; George Hripcsak; Adler J. Perotte; Nicholas P. Tatonetti; David K. Vawdrey (AMIA, 2016)

A Method for Enhancing the Portability of Electronic Phenotyping Algorithms: An eMERGE Pilot Study. - Ning Shang; Chunhua Weng; George Hripcsak (AMIA, 2016)

Observational Health Data Sciences and Informatics (OHDSI): A Rapidly Growing International Network for Open Science and Data Analytics in Healthcare. - Jon D. Duke; George Hripcsak; Nigam Shah; Patrick B. Ryan; Vojtech Huser (CRI, 2016)

The Applicability of an EHR Phenotype for Cohort Identification. - Ning Shang; George Hripcsak; Patrick B. Ryan; Chunhua Weng (CRI, 2016)

Patient Experiences Using an Inpatient Personal Health Record. - Jennifer E. Prey; Lauren Wilcox; Alexander D. Sackeim; Susan Restaino; Syed Raza; Suzanne Bakken; Steven Feiner; George Hripcsak; David K. Vawdrey; Janet Woollen (Appl. Clin. Inform., 2016)

Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management. - Heather J. Cole-Lewis; Arlene M. Smaldone; Patricia G. Davidson; Rita Kukafka; Jonathan N. Tobin; Andrea Cassells; Elizabeth D. Mynatt; George Hripcsak; Lena Mamykina (Int. J. Medical Informatics, 2016)

Preserving temporal relations in clinical data while maintaining privacy. - George Hripcsak; Parsa Mirhaji; Alexander F. H. Low; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2016)

Structured scaffolding for reflection and problem solving in diabetes self-management: qualitative study of mobile diabetes detective. - Lena Mamykina; Elizabeth M. Heitkemper; Arlene M. Smaldone; Rita Kukafka; Heather J. Cole-Lewis; Patricia G. Davidson; Elizabeth D. Mynatt; Jonathan N. Tobin; Andrea Cassells; Carrie Goodman; George Hripcsak (J. Am. Medical Informatics Assoc., 2016)

Revealing structures in narratives: A mixed-methods approach to studying interdisciplinary handoff in critical care. - Lena Mamykina; Silis Y. Jiang; Sarah A. Collins; Bridget Twohig; Jamie Hirsh; George Hripcsak; R. Stanley Hum; David R. Kaufman (J. Biomed. Informatics, 2016)

Temporal data analytics. - Robert Moskovitch; Fei Wang 001; Yuval Shahar; George Hripcsak (J. Biomed. Informatics, 2016)

Improving condition severity classification with an efficient active learning based framework. - Nir Nissim; Mary Regina Boland; Nicholas P. Tatonetti; Yuval Elovici; George Hripcsak; Yuval Shahar; Robert Moskovitch (J. Biomed. Informatics, 2016)

Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies. - Christopher Ochs; Zhe He 001; Ling Zheng; James Geller; Yehoshua Perl; George Hripcsak; Mark A. Musen (J. Biomed. Informatics, 2016)

Leveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associations. - Santiago Vilar; George Hripcsak (J. Cheminformatics, 2016)

Why predicting postprandial glucose using self-monitoring data is difficult. - David J. Albers; Matthew E. Levine; Andrew M. Stuart; Bruce J. Gluckman; George Hripcsak (AMIA, 2017)

From Large-Scale Network Analytics to Clinical Solutions in OHDSI. - Jon D. Duke; George Hripcsak; Patrick B. Ryan; Nigam Shah (AMIA, 2017)

Automated Identification of Families in Electronic Health Records to Support Clinical Research. - Fernanda Polubriaginof; Kayla Quinnies; Rami Vanguri; Alexandre Yahi; Mary Simmerling; Iuliana Ionita-Laza; Hojjat Salmasian; Suzanne Bakken; George Hripcsak; Krzysztof Kiryluk; David Goldstein; Nicholas P. Tatonetti; et al. (CRI, 2017)

Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. - Nir Nissim; Yuval Shahar; Yuval Elovici; George Hripcsak; Robert Moskovitch (Artif. Intell. Medicine, 2017)

The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions. - Santiago Vilar; George Hripcsak (Briefings Bioinform., 2017)

EHR-based phenotyping: Bulk learning and evaluation. - Po-Hsiang Chiu; George Hripcsak (J. Biomed. Informatics, 2017)

Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data. - Lena Mamykina; Elizabeth M. Heitkemper; Arlene M. Smaldone; Rita Kukafka; Heather J. Cole-Lewis; Patricia G. Davidson; Elizabeth D. Mynatt; Andrea Cassells; Jonathan N. Tobin; George Hripcsak (J. Biomed. Informatics, 2017)

Beyond discrimination: A comparison of calibration methods and clinical usefulness of predictive models of readmission risk. - Colin G. Walsh; Kavya Sharman; George Hripcsak (J. Biomed. Informatics, 2017)

Personalized glucose forecasting for type 2 diabetes using data assimilation. - David J. Albers; Matthew E. Levine; Bruce J. Gluckman; Henry N. Ginsberg; George Hripcsak; Lena Mamykina (PLoS Comput. Biol., 2017)

Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection. - Robert Moskovitch; Hyunmi Choi; George Hripcsak; Nicholas P. Tatonetti (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges. - David J. Albers; Matthew E. Levine; Andrew M. Stuart; Jan Claassen; Bruce J. Gluckman; George Hripcsak (AMIA, 2018)

Treatment Pathways in Patients with Cancer Using a Large-scale Observational Data Network. - Ruijun Chen; Patrick B. Ryan; Karthik Natarajan; Thomas Falconer; Christian G. Reich; Rohit Vashisht; Nigam Shah; George Hripcsak (AMIA, 2018)

Engaging Hospitalized Patients with Personalized Health Information: A Randomized Trial of an Acute Care Patient Portal. - Ruth M. Masterson Creber; Lisa V. Grossman; Beatriz Ryan; Fernanda C. Polubriaginof; Min Qian; Susan Restaino; Suzanne R. Bakken; George Hripcsak; David K. Vawdrey (AMIA, 2018)

Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives. - Fernanda C. Polubriaginof; Ning Shang; George Hripcsak; Nicholas P. Tatonetti; David K. Vawdrey (AMIA, 2018)

Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms. - Yizhen Zhong; Luke V. Rasmussen; Yu Deng; Jennifer A. Pacheco; Maureen E. Smith; Justin Starren; Wei-Qi Wei; Peter Speltz; Joshua C. Denny; Nephi Walton; George Hripcsak; Christopher G. Chute; et al. (BIBM, 2018)

Clinical Information Systems Integration in New York City's First Mobile Stroke Unit. - Benjamin Kummer; Michael Lerario; Babak Navi; Adam Ganzman; Daniel Ribaudo; Saad Mir; Sammy Pishanidar; Tim Lekic; Olajide Williams; Hooman Kamel; Randolph Marshall; George Hripcsak; et al. (Appl. Clin. Inform., 2018)

Origins of the Arden Syntax. - George Hripcsak; Ove Wigertz; Paul D. Clayton (Artif. Intell. Medicine, 2018)

Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media. - Santiago Vilar; Carol Friedman; George Hripcsak (Briefings Bioinform., 2018)

Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype. - David J. Albers; Matthew E. Levine; Andrew M. Stuart; Lena Mamykina; Bruce J. Gluckman; George Hripcsak (J. Am. Medical Informatics Assoc., 2018)

Uncovering exposures responsible for birth season - disease effects: a global study. - Mary Regina Boland; Pradipta Parhi; Li Li 062; Riccardo Miotto; Robert J. Carroll; Usman Iqbal; Phung-Anh (Alex) Nguyen; Martijn J. Schuemie; Seng Chan You; Donahue Smith; Sean D. Mooney; Patrick B. Ryan; et al. (J. Am. Medical Informatics Assoc., 2018)

High-fidelity phenotyping: richness and freedom from bias. - George Hripcsak; David J. Albers (J. Am. Medical Informatics Assoc., 2018)

Effect of vocabulary mapping for conditions on phenotype cohorts. - George Hripcsak; Matthew E. Levine; Ning Shang; Patrick B. Ryan (J. Am. Medical Informatics Assoc., 2018)

Engaging hospital patients in the medication reconciliation process using tablet computers. - Jennifer E. Prey; Fernanda Polubriaginof; Lisa V. Grossman; Ruth M. Masterson Creber; Demetra S. Tsapepas; Rimma Perotte; Min Qian; Susan Restaino; Suzanne Bakken; George Hripcsak; Leigh Efird; Joseph Underwood; et al. (J. Am. Medical Informatics Assoc., 2018)

A conceptual framework for evaluating data suitability for observational studies. - Ning Shang; Chunhua Weng; George Hripcsak (J. Am. Medical Informatics Assoc., 2018)

Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. - David J. Albers; Noémie Elhadad; Jan Claassen; Rimma Perotte; Andrew Goldstein; George Hripcsak (J. Biomed. Informatics, 2018)

A method for harmonization of clinical abbreviation and acronym sense inventories. - Lisa V. Grossman; Elliot G. Mitchell; George Hripcsak; Chunhua Weng; David K. Vawdrey (J. Biomed. Informatics, 2018)

Methodological variations in lagged regression for detecting physiologic drug effects in EHR data. - Matthew E. Levine; David J. Albers; George Hripcsak (J. Biomed. Informatics, 2018)

Call for papers: Deep phenotyping for Precision Medicine. - Chunhua Weng; Nigam Shah; George Hripcsak (J. Biomed. Informatics, 2018)

Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools. - Anna Ostropolets; Linying Zhang; Jami Jackson Mulgrave; George Hripcsak (AMIA, 2019)

Network Analysis of Citation in Hypertension Clinical Guidelines. - Youjin Park; Hyung Woo Kim; Seng Chan You; George Hripcsak; Han Eol Cho; Ji Hyuk Han; Seo Jeong Shin; Rae Woong Park (MedInfo, 2019)

The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records. - Linying Zhang; Yixin Wang 002; Anna Ostropolets; Jami J. Mulgrave; David M. Blei; George Hripcsak (MLHC, 2019)

Technology Access, Technical Assistance, and Disparities in Inpatient Portal Use. - Lisa V. Grossman; Ruth Masterson Creber; Jessica S. Ancker; Beatriz Ryan; Fernanda Polubriaginof; Min Qian; Irma J. Alarcon; Susan Restaino; Suzanne Bakken; George Hripcsak; David K. Vawdrey (Appl. Clin. Inform., 2019)

Neurological Dashboards and Consultation Turnaround Time at an Academic Medical Center. - Benjamin Kummer; Joshua Z. Willey; Michael J. Zelenetz; Yiping Hu; Soumitra Sengupta; Mitchell S. V. Elkind; George Hripcsak (Appl. Clin. Inform., 2019)

The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs). - Linying Zhang; Yixin Wang 002; Anna Ostropolets; Jami J. Mulgrave; David M. Blei; George Hripcsak (CoRR, 2019)

Engaging hospitalized patients with personalized health information: a randomized trial of an inpatient portal. - Ruth M. Masterson Creber; Lisa V. Grossman; Beatriz Ryan; Min Qian; Fernanda Polubriaginof; Susan Restaino; Suzanne Bakken; George Hripcsak; David K. Vawdrey (J. Am. Medical Informatics Assoc., 2019)

Challenges with quality of race and ethnicity data in observational databases. - Fernanda C. Polubriaginof; Patrick B. Ryan; Hojjat Salmasian; Andrea W. Shapiro; Adler J. Perotte; Monika M. Safford; George Hripcsak; Shaun Smith; Nicholas P. Tatonetti; David K. Vawdrey (J. Am. Medical Informatics Assoc., 2019)

Facilitating phenotype transfer using a common data model. - George Hripcsak; Ning Shang; Peggy L. Peissig; Luke V. Rasmussen; Cong Liu 020; Barbara Benoit; Robert J. Carroll; David S. Carrell; Joshua C. Denny; Ozan Dikilitas; Vivian S. Gainer; Kayla Marie Howell; et al. (J. Biomed. Informatics, 2019)

Temporal biomedical data analytics. - Robert Moskovitch; Yuval Shahar; Fei Wang 001; George Hripcsak (J. Biomed. Informatics, 2019)

PheValuator: Development and evaluation of a phenotype algorithm evaluator. - Joel N. Swerdel; George Hripcsak; Patrick B. Ryan (J. Biomed. Informatics, 2019)

Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting. - David J. Albers; Melike Sirlanci Tuysuzoglu; Matthew E. Levine; Caroline Der Nigoghossian; Andrew M. Stuart; Jan Claassen; Bruce J. Gluckman; George Hripcsak (AMIA, 2020)

Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research. - Ruijun Chen; Martijn J. Schuemie; Marc A. Suchard; Anna Ostropolets; Linying Zhang; Patrick B. Ryan; George Hripcsak (AMIA, 2020)

Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations. - George Hripcsak; David M. Blei; Elias Bareinboim; Martijn J. Schuemie; Linying Zhang (AMIA, 2020)

Characterizing database granularity using SNOMED-CT hierarchy. - Anna Ostropolets; Christian G. Reich; Patrick B. Ryan; Chunhua Weng; Anthony Molinaro; Frank J. DeFalco; Jitendra Jonnagaddala; Siaw-Teng Liaw; Hokyun Jeon; Rae Woong Park; Matthew E. Spotnitz; Karthik Natarajan; et al. (AMIA, 2020)

Contemporary Use of Real World Data for Clinical Trial Conduct. - James R. Rogers; Junghwan Lee; Ziheng Zhou; Patrick B. Ryan; George Hripcsak; Chunhua Weng (AMIA, 2020)

The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures. - Linying Zhang; Yixin Wang 002; Anna Ostropolets; Ruijun Chen; David M. Blei; George Hripcsak (AMIA, 2020)

Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study. - Xu Zuo; Jianfu Li; Bo Zhao 001; Yujia Zhou 003; Xiao Dong; Jon D. Duke; Karthik Natarajan; George Hripcsak; Nigam Shah; Juan M. Banda; Ruth M. Reeves; Hua Xu 001 (AMIA, 2020)

Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network. - Mehr Kashyap; Martin G. Seneviratne; Juan M. Banda; Thomas Falconer; Borim Ryu; Sooyoung Yoo; George Hripcsak; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2020)

A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time. - Anna Ostropolets; Linying Zhang; George Hripcsak (J. Am. Medical Informatics Assoc., 2020)

Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study. - Martijn J. Schuemie; Patrick B. Ryan; Nicole Pratt; Ruijun Chen; Seng Chan You; Harlan M. Krumholz; David Madigan; George Hripcsak; Marc A. Suchard (J. Am. Medical Informatics Assoc., 2020)

Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). - Martijn J. Schuemie; Patrick B. Ryan; Nicole Pratt; Ruijun Chen; Seng Chan You; Harlan M. Krumholz; David Madigan; George Hripcsak; Marc A. Suchard (J. Am. Medical Informatics Assoc., 2020)

Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping. - Anna Ostropolets; Christian G. Reich; Patrick B. Ryan; Ning Shang; George Hripcsak; Chunhua Weng (J. Biomed. Informatics, 2020)

Deep phenotyping: Embracing complexity and temporality - Towards scalability, portability, and interoperability. - Chunhua Weng; Nigam H. Shah; George Hripcsak (J. Biomed. Informatics, 2020)

Outlier concepts auditing methodology for a large family of biomedical ontologies. - Ling Zheng; Hua Min; Yan Chen 009; Vipina Kuttichi Keloth; James Geller; Yehoshua Perl; George Hripcsak (BMC Medical Informatics Decis. Mak., 2020)

Toward phenotyping of ventilator-induced lung injury with a damage-informed pulmonary model of lung-ventilator interaction. - David J. Albers; Deepak K. Agrawal; Bradford J. Smith; Peter D. Sottile; Tellen D. Bennett; Jake Stroh; George Hripcsak (AMIA, 2021)

PHenotype Observed Entity Baseline Endorsements (PHOEBE) - recommender system for concept selection in phenotype algorithm development. - Anna Ostropolets; Patrick B. Ryan; George Hripcsak (AMIA, 2021)

Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild. - Lena Mamykina; Arlene M. Smaldone; Suzanne R. Bakken; Noemie Elhadad; Elliot G. Mitchell; Pooja M. Desai; Matthew E. Levine; Jonathan N. Tobin; Andrea Cassells; Patricia G. Davidson; David J. Albers; George Hripcsak (CHI Extended Abstracts, 2021)

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. - Melissa A. Haendel; Christopher G. Chute; Tellen D. Bennett; David A. Eichmann; Justin Guinney; Warren A. Kibbe; Philip R. O. Payne; Emily R. Pfaff; Peter N. Robinson; Joel H. Saltz; Heidi Spratt; Christine Suver; et al. (J. Am. Medical Informatics Assoc., 2021)

Data Consult Service: Can we use observational data to address immediate clinical needs? - Anna Ostropolets; Philip Zachariah; Patrick B. Ryan; Ruijun Chen; George Hripcsak (J. Am. Medical Informatics Assoc., 2021)

Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. - Victor Alfonso Rodriguez; Shreyas Bhave; Ruijun Chen; Chao Pang; George Hripcsak; Soumitra Sengupta; Noemie Elhadad; Robert A. Green; Jason S. Adelman; Katherine Schlosser Metitiri; Pierre A. Elias; Holden Groves; et al. (J. Am. Medical Informatics Assoc., 2021)

Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review. - James R. Rogers; Junghwan Lee; Ziheng Zhou; Ying Kuen Cheung; George Hripcsak; Chunhua Weng (J. Am. Medical Informatics Assoc., 2021)

Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study. - Martijn J. Schuemie; Patrick B. Ryan; Nicole Pratt; Ruijun Chen; Seng Chan You; Harlan M. Krumholz; David Madigan; George Hripcsak; Marc A. Suchard (J. Am. Medical Informatics Assoc., 2021)

A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming? - Justin B. Starren; William M. Tierney; Marc S. Williams; Paul C. Tang; Charlene R. Weir; Ross Koppel; Philip R. O. Payne; George Hripcsak; Don E. Detmer (J. Am. Medical Informatics Assoc., 2021)

Clinical comparison between trial participants and potentially eligible patients using electronic health record data: A generalizability assessment method. - James R. Rogers; George Hripcsak; Ying Kuen Cheung; Chunhua Weng (J. Biomed. Informatics, 2021)

Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. - Ning Shang; Atlas Khan; Fernanda Polubriaginof; Francesca Zanoni; Karla Mehl; David Fasel; Paul E. Drawz; Robert J. Carroll; Joshua C. Denny; Matthew A. Hathcock; Adelaide M. Arruda-Olson; Peggy L. Peissig; et al. (npj Digit. Medicine, 2021)

Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation. - David J. Albers; Matthew E. Levine; Bruce J. Gluckman; Henry N. Ginsberg; George Hripcsak; Lena Mamykina (PLoS Comput. Biol., 2021)

Reproducibility in comparative effectiveness and safety of ACE inhibitors and thiazides for modified monotherapy treatment criteria. - Tara V. Anand; Marc A. Suchard; George Hripcsak (AMIA, 2022)

Characterizing Patient Representations for Computational Phenotyping. - Tiffany J. Callahan; Adrianne L. Stefanski; Danielle Ostendorf; Jordan M. Wyrwa; Sara J. Deakyne Davies; George Hripcsak; Lawrence Hunter; Michael G. Kahn (AMIA, 2022)

Phenotyping in distributed data networks: selecting the right codes for the right patients. - Anna Ostropolets; Patrick B. Ryan; George Hripcsak (AMIA, 2022)

Using Data Assimilation to Predict Post-Operative Bariatric Surgery Glycemic Status in Adolescents. - Lauren R. Richter; Benjamin Albert; Linying Zhang; Ilene Fennoy; David J. Albers; George Hripcsak (AMIA, 2022)

Gaining Purchase on Ventilator-Induced Lung Injury: A Interpretable Approach to Describing Complex System Data via Informed Modeling. - J. N. Stroh; Bradford J. Smith; Peter D. Sottile; George Hripcsak; David J. Albers (AMIA, 2022)

A methodology of phenotyping ICU patients: high-fidelity, personalized, and interpretable phenotypes estimation. - Yanran Wang; J. N. Stroh; George Hripcsak; Cecilia C. Low Wang; Julia Wrobel; Caroline Der Nigoghossian; Tellen D. Bennett; David J. Albers (AMIA, 2022)

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. - Tiffany J. Callahan; Adrianne L. Stefanski; Jordan M. Wyrwa; Chenjie Zeng; Anna Ostropolets; Juan M. Banda; William A. Baumgartner Jr.; Richard D. Boyce; Elena Casiraghi; Ben D. Coleman; Janine H. Collins; Sara J. Deakyne Davies; et al. (CoRR, 2022)

A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making. - Linying Zhang; Lauren R. Richter; Yixin Wang 002; Anna Ostropolets; Noemie Elhadad; David M. Blei; George Hripcsak (CoRR, 2022)

Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria's impact on patient count and safety. - James R. Rogers; Jovana Pavisic; Casey N. Ta; Cong Liu 020; Ali Soroush; Ying Kuen Cheung; George Hripcsak; Chunhua Weng (J. Biomed. Informatics, 2022)

Adjusting for indirectly measured confounding using large-scale propensity score. - Linying Zhang; Yixin Wang 002; Martijn J. Schuemie; David M. Blei; George Hripcsak (J. Biomed. Informatics, 2022)

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. - Jingzhi Yu; Jennifer A. Pacheco; Anika S. Ghosh; Yuan Luo 001; Chunhua Weng; Ning Shang; Barbara Benoit; David S. Carrell; Robert J. Carroll; Ozan Dikilitas; Robert R. Freimuth; Vivian S. Gainer; et al. (BMC Medical Informatics Decis. Mak., 2022)

The All of Us Research Program: Data quality, utility, and diversity. - Andrea H. Ramirez; Lina M. Sulieman; David J. Schlueter; Alese E. Halvorson; Jun Qian; Francis Ratsimbazafy; Roxana Loperena-Cortes; Kelsey R. Mayo; Melissa A. Basford; Nicole Deflaux; Karthik Muthuraman; Karthik Natarajan; et al. (Patterns, 2022)

An Open-Source Knowledge Graph Ecosystem for the Life Sciences. - Tiffany J. Callahan; Ignacio J. Tripodi; Adrianne L. Stefanski; Luca Cappelletti; Sanya Bathla Taneja; Jordan M. Wyrwa; Elena Casiraghi; Nicolas A. Matentzoglu; Justin T. Reese; Jonathan C. Silverstein; Charles Tapley Hoyt; Richard D. Boyce; et al. (CoRR, 2023)

Ontologizing health systems data at scale: making translational discovery a reality. - Tiffany J. Callahan; Adrianne L. Stefanski; Jordan M. Wyrwa; Chenjie Zeng; Anna Ostropolets; Juan M. Banda; William A. Baumgartner Jr.; Richard D. Boyce; Elena Casiraghi; Ben D. Coleman; Janine H. Collins; Sara J. Deakyne Davies; et al. (npj Digit. Medicine, 2023)

Hypothesis-driven modeling of the human lung-ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research. - J. N. Stroh; Bradford J. Smith; Peter D. Sottile; George Hripcsak; David J. Albers (J. Biomed. Informatics, 2023)

Characterizing variability of electronic health record-driven phenotype definitions. - Pascal S. Brandt; Abel N. Kho; Yuan Luo 001; Jennifer A. Pacheco; Theresa L. Walunas; Hakon Hakonarson; George Hripcsak; Cong Liu 020; Ning Shang; Chunhua Weng; Nephi Walton; David S. Carrell; et al. (J. Am. Medical Informatics Assoc., 2023)

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. - Anna Ostropolets; Yasser Albogami; Mitchell Conover; Juan M. Banda; William A. Baumgartner Jr.; Clair Blacketer; Priyamvada Desai; Scott L. DuVall; Stephen P. Fortin; James P. Gilbert; Asieh Golozar; Joshua Ide; et al. (J. Am. Medical Informatics Assoc., 2023)

Representing and utilizing clinical textual data for real world studies: An OHDSI approach. - Vipina Kuttichi Keloth; Juan M. Banda; Michael J. Gurley; Paul M. Heider; Georgina Kennedy; Hongfang Liu; Feifan Liu; Timothy Miller 002; Karthik Natarajan; Olga V. Patterson; Yifan Peng 002; Kalpana Raja; et al. (J. Biomed. Informatics, 2023)

Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. - David J. Albers; Melike Sirlanci; Matthew E. Levine; Jan Claassen; Caroline Der Nigoghossian; George Hripcsak (J. Biomed. Informatics, 2023)

Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes. - Qiong Wu; Martijn J. Schuemie; Marc A. Suchard; Patrick B. Ryan; George Hripcsak; Charles A. Rohde; Yong Chen 016 (J. Biomed. Informatics, 2023)

Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records. - Anna Ostropolets; George Hripcsak; Syed A Husain; Lauren R. Richter; Matthew E. Spotnitz; Ahmed Elhussein; Patrick B. Ryan (J. Am. Medical Informatics Assoc., 2023)

A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. - Yanran Wang; J. N. Stroh; George Hripcsak; Cecilia C. Low Wang; Tellen D. Bennett; Julia Wrobel; Caroline Der Nigoghossian; Scott W. Mueller; Jan Claassen; David J. Albers (J. Biomed. Informatics, 2023)

Quantifiable identification of flow-limited ventilator dyssynchrony with the deformed lung ventilator model. - Deepak K. Agrawal; Bradford J. Smith; Peter D. Sottile; George Hripcsak; David J. Albers (Comput. Biol. Medicine, 2024)

CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines. - Chao Pang; Xinzhuo Jiang; Nishanth Parameshwar Pavinkurve; Krishna S. Kalluri; Elise L. Minto; Jason Patterson; Linying Zhang; George Hripcsak; Noémie Elhadad; Karthik Natarajan (CoRR, 2024)

Using patient portals for large-scale recruitment of individuals underrepresented in biomedical research: an evaluation of engagement patterns throughout the patient portal recruitment process at a single site within the All of Us Research Program. - Maura Beaton; Xinzhuo Jiang; Elise L. Minto; Chun Yee Lau; Lennon Turner; George Hripcsak; Kanchan Chaudhari; Karthik Natarajan (J. Am. Medical Informatics Assoc., 2024)

Causal fairness assessment of treatment allocation with electronic health records. - Linying Zhang; Lauren R. Richter; Yixin Wang 002; Anna Ostropolets; Noémie Elhadad; David M. Blei; George Hripcsak (J. Biomed. Informatics, 2024)

OHDSI Standardized Vocabularies - a large-scale centralized reference ontology for international data harmonization. - Christian G. Reich; Anna Ostropolets; Patrick B. Ryan; Peter R. Rijnbeek; Martijn J. Schuemie; Alexander Davydov; Dmitry Dymshyts; George Hripcsak (J. Am. Medical Informatics Assoc., 2024)

Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies. - Jami J. Mulgrave; David Madigan; George Hripcsak (Stat. Anal. Data Min., 2024)

Objective study validity diagnostics: a framework requiring pre-specified, empirical verification to increase trust in the reliability of real-world evidence. - Mitchell Conover; Patrick B. Ryan; Yong Chen 016; Marc A. Suchard; George Hripcsak; Martijn J. Schuemie (J. Am. Medical Informatics Assoc., 2025)

AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation. - Shalmali Joshi; Iñigo Urteaga; Wouter A. C. van Amsterdam; George Hripcsak; Pierre A. Elias; Benjamin R. C. Amor; Noémie Elhadad; James C. Fackler; Mark P. Sendak; Jenna Wiens; Kaivalya Deshpande; Yoav Wald; et al. (J. Am. Medical Informatics Assoc., 2025)

CLEAR: A vision to support clinical evidence lifecycle with continuous learning. - Yilu Fang; Gongbo Zhang; Fangyi Chen; George Hripcsak; Yifan Peng 002; Patrick B. Ryan; Chunhua Weng (J. Biomed. Informatics, 2025)

Standardized patient profile review using large language models for case adjudication in observational research. - Martijn J. Schuemie; Anna Ostropolets; Aleh Zhuk; Uladzislau Korsik; Seung In Seo; Marc A. Suchard; George Hripcsak; Patrick B. Ryan (npj Digit. Medicine, 2025)

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data. - Qiong Wu; Jenna Marie Reps; Lu Li; Bingyu Zhang; Yiwen Lu; Jiayi Tong; Dazheng Zhang; Thomas Lumley; Milou T. Brand; Mui Van Zandt; Thomas Falconer; Xing He 003; et al. (npj Digit. Medicine, 2025)

Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences. - Dazheng Zhang; Bingyu Zhang; Huiyuan Wang; Yiwen Lu; Charles J. Wolock; Wenjie Hu; Linbo Wang; George Hripcsak; Yong Chen 016 (npj Digit. Medicine, 2025)