George Hripcsak

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 123

Top Venues

AMIA

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

CoRR

Publications

Chao Pang, Xinzhuo Jiang, Nishanth Parameshwar Pavinkurve, Krishna S. Kalluri, Elise L. Minto, Jason Patterson, Linying Zhang, George Hripcsak, Noémie Elhadad, Karthik Natarajan
CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines. CoRR (2024)
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, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn
Ontologizing health systems data at scale: making translational discovery a reality. npj Digit. Medicine 6 (2023)
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, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30 (5) (2023)
Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142 (2023)
Qiong Wu, Martijn J. Schuemie, Marc A. Suchard, Patrick B. Ryan, George Hripcsak, Charles A. Rohde, Yong Chen
Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes. J. Biomed. Informatics 145 (2023)
David J. Albers, Melike Sirlanci, Matthew E. Levine, Jan Claassen, Caroline Der Nigoghossian, George Hripcsak
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data. J. Biomed. Informatics 145 (2023)
Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen
Characterizing variability of electronic health record-driven phenotype definitions. J. Am. Medical Informatics Assoc. 30 (3) (2023)
J. N. Stroh, Bradford J. Smith, Peter D. Sottile, George Hripcsak, David J. Albers
Hypothesis-driven modeling of the human lung-ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research. J. Biomed. Informatics 137 (2023)
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, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter
An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR (2023)
Anna Ostropolets, George Hripcsak, Syed A Husain, Lauren R. Richter, Matthew E. Spotnitz, Ahmed Elhussein, Patrick B. Ryan
Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records. J. Am. Medical Informatics Assoc. 31 (1) (2023)
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
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. J. Biomed. Informatics 148 (2023)
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, James A. Feinstein, Melissa A. Haendel, Asiyah Y. Lin, Blake Martin, Nicolas Matentzoglu, Daniella Meeker, Justin Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. CoRR (2022)
Tiffany J. Callahan, Adrianne L. Stefanski, Danielle Ostendorf, Jordan M. Wyrwa, Sara J. Deakyne Davies, George Hripcsak, Lawrence Hunter, Michael G. Kahn
Characterizing Patient Representations for Computational Phenotyping. AMIA (2022)
Linying Zhang, Yixin Wang, Martijn J. Schuemie, David M. Blei, George Hripcsak
Adjusting for indirectly measured confounding using large-scale propensity score. J. Biomed. Informatics 134 (2022)
Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noemie Elhadad, David M. Blei, George Hripcsak
A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making. CoRR (2022)
Tara V. Anand, Marc A. Suchard, George Hripcsak
Reproducibility in comparative effectiveness and safety of ACE inhibitors and thiazides for modified monotherapy treatment criteria. AMIA (2022)
Anna Ostropolets, Patrick Ryan, George Hripcsak
Phenotyping in distributed data networks: selecting the right codes for the right patients. AMIA (2022)
Lauren R. Richter, Benjamin Albert, Linying Zhang, Ilene Fennoy, David Albers, George Hripcsak
Using Data Assimilation to Predict Post-Operative Bariatric Surgery Glycemic Status in Adolescents. AMIA (2022)
Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank D. Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen
Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
James R. Rogers, Jovana Pavisic, Casey N. Ta, Cong Liu, Ali Soroush, Ying Kuen Cheung, George Hripcsak, Chunhua Weng
Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria's impact on patient count and safety. J. Biomed. Informatics 127 (2022)
Yanran Wang, J. N. Stroh, George Hripcsak, Cecilia C. Low Wang, Julia Wrobel, Caroline Der Nigoghossian, Tellen D. Bennett, David J. Albers
A methodology of phenotyping ICU patients: high-fidelity, personalized, and interpretable phenotypes estimation. AMIA (2022)
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, Abel N. Kho, Hua Xu, Consuelo H. Wilkins, Hoda Anton-Culver, Eric Boerwinkle, Mine Cicek, Cheryl R. Clark, Elizabeth Cohn, Lucila Ohno-Machado, Sheri D. Schully, Brian K. Ahmedani, Maria Argos, Robert M. Cronin, Christopher J. O'Donnell, Mona Fouad, David B. Goldstein, Philip Greenland, Scott J. Hebbring, Elizabeth W. Karlson, Parinda Khatri, Bruce Korf, Jordan W. Smoller, Stephen Sodeke, John Wilbanks, Justin Hentges, Stephen Mockrin, Christopher Lunt, Stephanie A. Devaney, Kelly Gebo, Joshua C. Denny, Robert J. Carroll, David Glazer, Paul A. Harris, George Hripcsak, Anthony Philippakis, Dan M. Roden
Research Program: Data quality, utility, and diversity. Patterns 3 (8) (2022)
J. N. Stroh, Bradford Smith, Peter D. Sottile, George Hripcsak, David J. Albers
Gaining Purchase on Ventilator-Induced Lung Injury: A Interpretable Approach to Describing Complex System Data via Informed Modeling. AMIA (2022)
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
Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild. CHI Extended Abstracts (2021)
David J. Albers, Matthew E. Levine, Bruce J. Gluckman, Henry N. Ginsberg, George Hripcsak, Lena Mamykina
Correction: Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Comput. Biol. 17 (8) (2021)
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, John Wilbanks, Adam B. Wilcox, Andrew E. Williams, Chunlei Wu, Clair Blacketer, Robert L. Bradford, James J. Cimino, Marshall Clark, Evan W. Colmenares, Patricia A. Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S. Hong, George Hripcsak, Dazhi Jiao, Jeffrey G. Klann, Kristin Kostka, Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Ken R. Gersing
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J. Am. Medical Informatics Assoc. 28 (3) (2021)
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
A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming? J. Am. Medical Informatics Assoc. 28 (5) (2021)
Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carrol, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah A. Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 4 (2021)
James R. Rogers, Junghwan Lee, Ziheng Zhou, Ying Kuen Cheung, George Hripcsak, Chunhua Weng
Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review. J. Am. Medical Informatics Assoc. 28 (1) (2021)
Anna Ostropolets, Philip Zachariah, Patrick Ryan, Ruijun Chen, George Hripcsak
Data Consult Service: Can we use observational data to address immediate clinical needs? J. Am. Medical Informatics Assoc. 28 (10) (2021)
Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard
Erratum to: Large-Scale Evidence Generation and Evaluation across a Network of Databases (LEGEND): Assessing Validity Using Hypertension as a Case Study. J. Am. Medical Informatics Assoc. 28 (1) (2021)
Anna Ostropolets, Patrick B. Ryan, George Hripcsak
PHenotype Observed Entity Baseline Endorsements (PHOEBE) - recommender system for concept selection in phenotype algorithm development. AMIA (2021)
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 Elias, Holden Groves, Sumit Mohan, Karthik Natarajan, Adler J. Perotte
Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. J. Am. Medical Informatics Assoc. 28 (7) (2021)
James R. Rogers, George Hripcsak, Ying Kuen Cheung, Chunhua Weng
Clinical comparison between trial participants and potentially eligible patients using electronic health record data: A generalizability assessment method. J. Biomed. Informatics 119 (2021)
David J. Albers, Deepak Agrawal, Bradford Smith, Peter D. Sottile, Tellen D. Bennett, Jake Stroh, George Hripcsak
Toward phenotyping of ventilator-induced lung injury with a damage-informed pulmonary model of lung-ventilator interaction. AMIA (2021)
Xu Zuo, Jianfu Li, Bo Zhao, Yujia Zhou, Xiao Dong, Jon D. Duke, Karthik Natarajan, George Hripcsak, Nigam Shah, Juan M. Banda, Ruth M. Reeves, Hua Xu
Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study. AMIA (2020)
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, Kristin Kostka, George Argyriou, Robert T. Miller, Andrew E. Williams, Evan Minty, José D. Posada, George Hripcsak
Characterizing database granularity using SNOMED-CT hierarchy. AMIA (2020)
David J. Albers, Melike Sirlanci Tuysuzoglu, Matthew E. Levine, Caroline Der Nigoghossian, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak
Lessons learned from assimilating knowledge into machine learning to forecast and control glucose in a critical care setting. AMIA (2020)
Linying Zhang, Yixin Wang, Anna Ostropolets, Ruijun Chen, David M. Blei, George Hripcsak
The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures. AMIA (2020)
Ling Zheng, Hua Min, Yan Chen, Vipina Kuttichi Keloth, James Geller, Yehoshua Perl, George Hripcsak
Outlier concepts auditing methodology for a large family of biomedical ontologies. BMC Medical Informatics Decis. Mak. (10) (2020)
Anna Ostropolets, Christian G. Reich, Patrick B. Ryan, Ning Shang, George Hripcsak, Chunhua Weng
Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping. J. Biomed. Informatics 102 (2020)
Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). J. Am. Medical Informatics Assoc. 27 (8) (2020)
Chunhua Weng, Nigam H. Shah, George Hripcsak
Deep phenotyping: Embracing complexity and temporality - Towards scalability, portability, and interoperability. J. Biomed. Informatics 105 (2020)
James R. Rogers, Junghwan Lee, Ziheng Zhou, Patrick B. Ryan, George Hripcsak, Chunhua Weng
Contemporary Use of Real World Data for Clinical Trial Conduct. AMIA (2020)
Mehr Kashyap, Martin G. Seneviratne, Juan M. Banda, Thomas Falconer, Borim Ryu, Sooyoung Yoo, George Hripcsak, Nigam H. Shah
Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network. J. Am. Medical Informatics Assoc. 27 (6) (2020)
Ruijun Chen, Martijn J. Schuemie, Marc A. Suchard, Anna Ostropolets, Linying Zhang, Patrick B. Ryan, George Hripcsak
Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research. AMIA (2020)
Martijn J. Schuemie, Patrick B. Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz, David Madigan, George Hripcsak, Marc A. Suchard
Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study. J. Am. Medical Informatics Assoc. 27 (8) (2020)
Anna Ostropolets, Linying Zhang, George Hripcsak
A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time. J. Am. Medical Informatics Assoc. 27 (12) (2020)
George Hripcsak, David M. Blei, Elias Bareinboim, Martijn J. Schuemie, Linying Zhang
Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations. AMIA (2020)
Robert Moskovitch, Yuval Shahar, Fei Wang, George Hripcsak
Temporal biomedical data analytics. J. Biomed. Informatics 90 (2019)
George Hripcsak, Ning Shang, Peggy L. Peissig, Luke V. Rasmussen, Cong Liu, Barbara Benoit, Robert J. Carroll, David S. Carrell, Joshua C. Denny, Ozan Dikilitas, Vivian S. Gainer, Kayla Marie Howell, Jeffrey G. Klann, Iftikhar J. Kullo, Todd Lingren, Frank D. Mentch, Shawn N. Murphy, Karthik Natarajan, Chunhua Weng
Facilitating phenotype transfer using a common data model. J. Biomed. Informatics 96 (2019)
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
Technology Access, Technical Assistance, and Disparities in Inpatient Portal Use. Appl. Clin. Inform. 10 (01) (2019)
Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak
The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs). CoRR (2019)
Anna Ostropolets, Linying Zhang, Jami Jackson Mulgrave, George Hripcsak
Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools. AMIA (2019)
Youjin Park, Hyung Woo Kim, Seng Chan You, George Hripcsak, Han Eol Cho, Ji Hyuk Han, Seo Jeong Shin, Rae Woong Park
Network Analysis of Citation in Hypertension Clinical Guidelines. MedInfo (2019)
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
Challenges with quality of race and ethnicity data in observational databases. J. Am. Medical Informatics Assoc. 26 (8-9) (2019)
Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records. MLHC (2019)
Benjamin Kummer, Joshua Z. Willey, Michael J. Zelenetz, Yiping Hu, Soumitra Sengupta, Mitchell S. V. Elkind, George Hripcsak
Neurological Dashboards and Consultation Turnaround Time at an Academic Medical Center. Appl. Clin. Inform. 10 (05) (2019)
Joel N. Swerdel, George Hripcsak, Patrick B. Ryan
PheValuator: Development and evaluation of a phenotype algorithm evaluator. J. Biomed. Informatics 97 (2019)
Ruth M. Masterson Creber, Lisa V. Grossman, Beatriz Ryan, Min Qian, Fernanda Polubriaginof, Susan Restaino, Suzanne Bakken, George Hripcsak, David K. Vawdrey
Engaging hospitalized patients with personalized health information: a randomized trial of an inpatient portal. J. Am. Medical Informatics Assoc. 26 (2) (2019)
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, Yuan Luo
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms. BIBM (2018)
Benjamin Kummer, Michael Lerario, Babak Navi, Adam Ganzman, Daniel Ribaudo, Saad Mir, Sammy Pishanidar, Tim Lekic, Olajide Williams, Hooman Kamel, Randolph Marshall, George Hripcsak, Mitchell Elkind, Matthew Fink
Clinical Information Systems Integration in New York City's First Mobile Stroke Unit. Appl. Clin. Inform. 9 (01) (2018)
Lisa V. Grossman, Elliot G. Mitchell, George Hripcsak, Chunhua Weng, David K. Vawdrey
A method for harmonization of clinical abbreviation and acronym sense inventories. J. Biomed. Informatics 88 (2018)
Matthew E. Levine, David J. Albers, George Hripcsak
Methodological variations in lagged regression for detecting physiologic drug effects in EHR data. J. Biomed. Informatics 86 (2018)
Ruth M. Masterson Creber, Lisa V. Grossman, Beatriz Ryan, Fernanda C. Polubriaginof, Min Qian, Susan Restaino, Suzanne R. Bakken, George Hripcsak, David K. Vawdrey
Engaging Hospitalized Patients with Personalized Health Information: A Randomized Trial of an Acute Care Patient Portal. AMIA (2018)
David J. Albers, Noémie Elhadad, Jan Claassen, Rimma Perotte, A. Goldstein, George Hripcsak
Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. J. Biomed. Informatics 78 (2018)
Mary Regina Boland, Pradipta Parhi, Li Li, Riccardo Miotto, Robert J. Carroll, Usman Iqbal, Phung-Anh (Alex) Nguyen, Martijn J. Schuemie, Seng Chan You, Donahue Smith, Sean Mooney, Patrick B. Ryan, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti
Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. 25 (3) (2018)
David J. Albers, Matthew E. Levine, Andrew M. Stuart, Lena Mamykina, Bruce J. Gluckman, George Hripcsak
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype. J. Am. Medical Informatics Assoc. 25 (10) (2018)
George Hripcsak, Matthew E. Levine, Ning Shang, Patrick B. Ryan
Effect of vocabulary mapping for conditions on phenotype cohorts. J. Am. Medical Informatics Assoc. 25 (12) (2018)
Chunhua Weng, Nigam Shah, George Hripcsak
Call for papers: Deep phenotyping for Precision Medicine. J. Biomed. Informatics 87 (2018)
Fernanda C. Polubriaginof, Ning Shang, George Hripcsak, Nicholas P. Tatonetti, David K. Vawdrey
Low Screening Rates for Diabetes Mellitus Among Family Members of Affected Relatives. AMIA (2018)
Santiago Vilar, Carol Friedman, George Hripcsak
Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media. Briefings Bioinform. 19 (5) (2018)
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, Yuan Luo
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms. CoRR (2018)
Ruijun Chen, Patrick B. Ryan, Karthik Natarajan, Thomas Falconer, Christian G. Reich, Rohit Vashisht, Nigam Shah, George Hripcsak
Treatment Pathways in Patients with Cancer Using a Large-scale Observational Data Network. AMIA (2018)
David J. Albers, Matthew E. Levine, Andrew M. Stuart, Jan Claassen, Bruce J. Gluckman, George Hripcsak
Using mechanistic machine learning to forecast glucose and infer physiologic phenotypes in the ICU: what is possible and what are the challenges. AMIA (2018)
George Hripcsak, David J. Albers
High-fidelity phenotyping: richness and freedom from bias. J. Am. Medical Informatics Assoc. 25 (3) (2018)
George Hripcsak, Ove Wigertz, Paul D. Clayton
Origins of the Arden Syntax. Artif. Intell. Medicine 92 (2018)
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, David K. Vawdrey
Engaging hospital patients in the medication reconciliation process using tablet computers. J. Am. Medical Informatics Assoc. 25 (11) (2018)
Ning Shang, Chunhua Weng, George Hripcsak
A conceptual framework for evaluating data suitability for observational studies. J. Am. Medical Informatics Assoc. 25 (3) (2018)
David J. Albers, Matthew E. Levine, Andrew M. Stuart, Bruce J. Gluckman, George Hripcsak
Why predicting postprandial glucose using self-monitoring data is difficult. AMIA (2017)
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, David K. Vawdrey
Automated Identification of Families in Electronic Health Records to Support Clinical Research. CRI (2017)
Po-Hsiang Chiu, George Hripcsak
EHR-based phenotyping: Bulk learning and evaluation. J. Biomed. Informatics 70 (2017)
Santiago Vilar, George Hripcsak
The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions. Briefings Bioinform. 18 (4) (2017)
Colin G. Walsh, Kavya Sharman, George Hripcsak
Beyond discrimination: A comparison of calibration methods and clinical usefulness of predictive models of readmission risk. J. Biomed. Informatics 76 (2017)
Robert Moskovitch, Hyunmi Choi, George Hripcsak, Nicholas P. Tatonetti
Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
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
Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data. J. Biomed. Informatics 76 (2017)
Nir Nissim, Yuval Shahar, Yuval Elovici, George Hripcsak, Robert Moskovitch
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods. Artif. Intell. Medicine 81 (2017)
Jon D. Duke, George Hripcsak, Patrick B. Ryan, Nigam Shah
From Large-Scale Network Analytics to Clinical Solutions in OHDSI. AMIA (2017)
David J. Albers, Matthew E. Levine, Bruce J. Gluckman, Henry N. Ginsberg, George Hripcsak, Lena Mamykina
Personalized glucose forecasting for type 2 diabetes using data assimilation. PLoS Comput. Biol. 13 (4) (2017)
Robert Moskovitch, Fei Wang, Yuval Shahar, George Hripcsak
Temporal data analytics. J. Biomed. Informatics 62 (2016)
Jennifer E. Prey, Lauren Wilcox, Alexander D. Sackeim, Susan Restaino, Syed Raza, Suzanne Bakken, Steven Feiner, George Hripcsak, David Vawdrey, Janet Woollen
Patient Experiences Using an Inpatient Personal Health Record. Appl. Clin. Inform. 7 (02) (2016)
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
Structured scaffolding for reflection and problem solving in diabetes self-management: qualitative study of mobile diabetes detective. J. Am. Medical Informatics Assoc. 23 (1) (2016)
Ning Shang, Chunhua Weng, George Hripcsak
A Method for Enhancing the Portability of Electronic Phenotyping Algorithms: An eMERGE Pilot Study. AMIA (2016)
Ning Shang, George Hripcsak, Patrick B. Ryan, Chunhua Weng
The Applicability of an EHR Phenotype for Cohort Identification. CRI (2016)
Christopher Ochs, Zhe He, Ling Zheng, James Geller, Yehoshua Perl, George Hripcsak, Mark A. Musen
Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies. J. Biomed. Informatics 61 (2016)
Jon D. Duke, George Hripcsak, Nigam Shah, Patrick B. Ryan, Vojtech Huser
Observational Health Data Sciences and Informatics (OHDSI): A Rapidly Growing International Network for Open Science and Data Analytics in Healthcare. CRI (2016)
Matthew E. Levine, David J. Albers, George Hripcsak
Comparing Lagged Linear Correlation, Lagged Regression, Granger Causality, and Vector Autoregression for Uncovering Associations in EHR Data. AMIA (2016)
George Hripcsak, Parsa Mirhaji, Alexander F. H. Low, Bradley A. Malin
Preserving temporal relations in clinical data while maintaining privacy. J. Am. Medical Informatics Assoc. 23 (6) (2016)
David J. Albers, Adler J. Perotte, George Hripcsak
Approaches for using temporal and other filters for next generation phenotype discovery. AMIA (2016)
Lucila Ohno-Machado, George Hripcsak, Michael E. Matheny, Yuan Wu, Xiaoqian Jiang
Calibration of Predictive Models for Clinical Decision Making: Personalizing Prevention, Treatment, and Disease Progression. AMIA (2016)

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George Hripcsak