Clinical Burden and Risk of Alert Fatigue Associated with Detection and Documentation of Prolonged QT Interval Using an Expert Rule System. - Pedro J. Caraballo; Kristy Doan; Bruce W. Morlan; Kristina Haugaa; J. Martijn Bos; Rick Nishimura; Michael J. Ackerman (AMIA, 2012)

Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus. - Wei-Qi Wei; Cynthia L. Leibson; Jeanine E. Ransom; Abel N. Kho; Pedro J. Caraballo; High Seng Chai; Barbara P. Yawn; Jennifer A. Pacheco; Christopher G. Chute (J. Am. Medical Informatics Assoc., 2012)

Clinical Decision Support Rule Performance Reporting: Helpful or Heartache? - Donald B. Gabrielson; Thomas L. Cochran; Robert R. Bleimeyer; Charles Pugh; Mark A. Parkulo; Pedro J. Caraballo (AMIA, 2013)

Quantifying the Effect of Statin Use in Pre-Diabetic Phenotypes Discovered Through Association Rule Mining. - John Schrom; Pedro J. Caraballo; Regina Castro; György J. Simon (AMIA, 2013)

Survival Association Rule Mining Towards Type 2 Diabetes Risk Assessment. - György J. Simon; John Schrom; Regina Castro; Peter W. Li; Pedro J. Caraballo (AMIA, 2013)

Use of Enterprise Clinical Decision Support Infrastructure to Implement Pharmacogenomics at the Point of Care. - Pedro J. Caraballo; David Blair; Michelle Elliott; Robert R. Bleimeyer; John Crooks; Donald B. Gabrielson; Gaurav Jain; Wayne T. Nicholson; Charles Pugh; Padma S. Rao; Cloann Schultz; Lynn Summerlin; et al. (AMIA, 2014)

Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations. - Era Kim; Wonsuk Oh; David S. Pieczkiewicz; M. Regina Castro; Pedro J. Caraballo; György J. Simon (AMIA, 2014)

Point of Care Intake Tool and Clinical Decision Support to Achieve Meaningful Use. - Maryanne E. Mathiowetz; Jennifer L. Horn; Samanthie I. Epps; Paul J. Johnsen; Pedro J. Caraballo (AMIA, 2014)

Clinical Decision Support Integrated in the Electronic Medical Record to Reduce Overuse of Blood Product Transfusion in the Cardiac Surgery ICU. - Joseph H. Skalski; James R. Stubbs; Andrew Higgins; Lance A. Trewhella; Robert R. Bleimeyer; Kristy Doan; James M. Naessens; Pedro J. Caraballo; Mark H. Ereth (AMIA, 2014)

CDS, EHR and Pharmacogenomics to Estimate Warfarin Dosing. - Pedro J. Caraballo; Joseph Sutton; Padma S. Rao; Kelly Wix; Wayne T. Nicholson; Cloann Schultz; Carolyn Rohrer Vitek; Robert R. Bleimeyer; Lois C. Hines; David Blair; Mark A. Parkulo (AMIA, 2015)

Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction. - Pedro J. Caraballo; Mark A. Parkulo; David Blair; Michelle Elliott; Cloann Schultz; Joseph Sutton; Padma S. Rao; Jamie Bruflat; Robert R. Bleimeyer; John Crooks; Donald B. Gabrielson; Wayne T. Nicholson; et al. (MedInfo, 2015)

Impact of clinical decision support preventing the use of QT-prolonging medications for patients at risk for torsade de pointes. - Atsushi Sorita; J. Martijn Bos; Bruce W. Morlan; Robert F. Tarrell; Michael J. Ackerman; Pedro J. Caraballo (J. Am. Medical Informatics Assoc., 2015)

Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus. - György J. Simon; Pedro J. Caraballo; Terry M. Therneau; Steven S. Cha; M. Regina Castro; Peter W. Li (IEEE Trans. Knowl. Data Eng., 2015)

Clinical Decision Support to Detect High Risk Patients with QTc Prolongation. - Christopher A. Aakre; J. Martijn Bos; György J. Simon; Robert F. Tarrell; Michael J. Ackerman; Pedro J. Caraballo (AMIA, 2016)

Implementing Pharmacogenomic Clinical Decision Support: Design and Prescriber Response in the eMERGE Network. - Timothy M. Herr; Josh F. Peterson; Luke V. Rasmussen; Pedro J. Caraballo (AMIA, 2016)

Type 2 Diabetes Mellitus Trajectories and Associated Risks. - Wonsuk Oh; Era Kim; M. Regina Castro; Pedro J. Caraballo; Vipin Kumar 001; Michael S. Steinbach; György J. Simon (Big Data, 2016)

Development & Implementation of a Clinical Decision Support Tool for Familial Hypercholesterolemia. - Ali Hasnie; Pedro J. Caraballo; Robert R. Freimuth; Iftikhar J. Kullo (AMIA, 2017)

Evolving Pharmacogenomics Test Results and the Burden on Clinical Decision Support Integrated in the Electronic Health Record. - Pedro J. Caraballo; Jennifer St Sauver; Daniel J. Cronk; Janet E. Olson; John L. Black; Suzette J. Bielinski (CRI, 2017)

Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. - Wonsuk Oh; Pranjul Yadav; Vipin Kumar 001; Pedro J. Caraballo; M. Regina Castro; Michael S. Steinbach; György J. Simon (ICHI, 2017)

Technical Challenges and Opportunities when Implementing Pharmacogenomics Decision Support Integrated in the Electronic Health Record. - Pedro J. Caraballo; Joseph A. Sutton; Ann M. Moyer; David Blair; Lois C. Hines; Padma S. Rao; Mark F. Adams; Sahana Murthy; Tina Garza; Mary E. Karow; Harmanjit Singh; Jyothsna Giri; et al. (MedInfo, 2017)

Providers' Response to Clinical Decision Support for QT Prolonging Drugs. - Sunita Sharma 003; J. Martijn Bos; Robert F. Tarrell; György J. Simon; Bruce W. Morlan; Michael J. Ackerman; Pedro J. Caraballo (J. Medical Syst., 2017)

Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. - Alena Orlenko; Jason H. Moore; Patryk Orzechowski; Randal S. Olson; Junmei Cairns; Pedro J. Caraballo; Richard M. Weinshilboum; Liewei Wang; Matthew K. Breitenstein (PSB, 2018)

Empowering genomic medicine by establishing critical sequencing result data flows: the eMERGE example. - Samuel J. Aronson; Lawrence J. Babb; Darren C. Ames; Richard A. Gibbs; Eric Venner; John J. Connelly; Keith Marsolo; Chunhua Weng; Marc S. Williams; Andrea L. Hartzler; Wayne H. Liang; James D. Ralston; et al. (J. Am. Medical Informatics Assoc., 2018)

A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. - Che Ngufor; Pedro J. Caraballo; Thomas J. O'Byrne; David Chen 003; Nilay D. Shah; Michael S. Steinbach; György J. Simon (AMIA, 2019)

Using Electronic Health Record Data to Identify Patients with Prediabetes. - Thomas J. O'Byrne; M. Regina Castro; Che Ngufor; György J. Simon; Pedro J. Caraballo (AMIA, 2019)

Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. - Pranjul Yadav; Michael S. Steinbach; M. Regina Castro; Pedro J. Caraballo; Vipin Kumar 001; György J. Simon (IEEE BigData, 2019)

Impact of the Performance Gap Between Interactive Alerts and Quality Metrics. - Kari Bunkers; Daniel J. Cronk; Marcia A. Core; David Blair; Mark A. Parkulo; Pedro J. Caraballo (MedInfo, 2019)

Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. - Wonsuk Oh; Michael S. Steinbach; M. Regina Castro; Kevin A. Peterson; Vipin Kumar 001; Pedro J. Caraballo; György J. Simon (MedInfo, 2019)

Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network. - Timothy M. Herr; Josh F. Peterson; Luke V. Rasmussen; Pedro J. Caraballo; Peggy L. Peissig; Justin B. Starren (J. Am. Medical Informatics Assoc., 2019)

Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus. - Era Kim; Pedro J. Caraballo; M. Regina Castro; David S. Pieczkiewicz; György J. Simon (J. Medical Syst., 2019)

Implementing Advanced Imaging Decision Support: Lessons Learned. - Pedro J. Caraballo; Jeremy D. Collins; Stacy R. Schultz; Kenneth Aakre; Joseph A. Sutton; Paul J. Johnsen; Mark A. Parkulo; Karl Krecke (AMIA, 2020)

A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus. - Xinpeng Shen; Sisi Ma; Prashanthi Vemuri; M. Regina Castro; Pedro J. Caraballo; György J. Simon (CoRR, 2020)

Integrating pharmacogenomics into the electronic health record by implementing genomic indicators. - Pedro J. Caraballo; Joseph A. Sutton; Jyothsna Giri; Jessica A. Wright; Wayne T. Nicholson; Iftikhar J. Kullo; Mark A. Parkulo; Suzette J. Bielinski; Ann M. Moyer (J. Am. Medical Informatics Assoc., 2020)

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. - György J. Simon; Kevin A. Peterson; M. Regina Castro; Michael S. Steinbach; Vipin Kumar 001; Pedro J. Caraballo (BMC Medical Informatics Decis. Mak., 2020)

Genomic considerations for FHIR®; eMERGE implementation lessons. - Mullai Murugan; Lawrence J. Babb; Casey Overby Taylor; Luke V. Rasmussen; Robert R. Freimuth; Eric Venner; Fei Yan; Victoria Yi; Stephen J. Granite; Hana Zouk; Samuel J. Aronson; Kevin Power; et al. (J. Biomed. Informatics, 2021)

A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. - Wonsuk Oh; Michael S. Steinbach; M. Regina Castro; Kevin A. Peterson; Vipin Kumar 001; Pedro J. Caraballo; György J. Simon (IEEE J. Biomed. Health Informatics, 2021)

A novel method for handling Missing Not at Random Data in the electronic health records. - Xinpeng Shen; Sisi Ma; Pedro J. Caraballo; Prashanthi Vemuri; György J. Simon (ICHI, 2022)

Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. - Haoyu Yang; Roshan Tourani; Jia Li; Pedro J. Caraballo; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (ICHI, 2023)

Decision Support System Detecting Patients at Risk of Prolonged QT and Associated Mortality. - Pedro J. Caraballo; Johan M. Bos; Ray Qian; Karen M. Fischer; Paul J. Johnsen; Diana J. Schreie; György J. Simon; Michael J. Ackerman (MedInfo, 2023)

Clinical Implementation of an AI Early Warning System Algorithm: Lessons Learned. - Anne M. Meehan; Marcia A. Core; Jared M. Ross; Parvez A. Rahman; Bijan J. Borah; Pedro J. Caraballo (MedInfo, 2023)

Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels. - Hana Bangash; Seyedmohammad Saadatagah; Mohammadreza Naderian; Marwan E. Hamed; Lubna Alhalabi; Alborz Sherafati; Joseph Sutton; Omar Elsekaily; Ali Mir; Justin H. Gundelach; Daniel Gibbons; Paul J. Johnsen; et al. (npj Digit. Medicine, 2024)