Development and Alpha Testing of Specifications for an Orthopedic Surgery Complications Electronic Clinical Quality Measure (eCQM). - Patricia C. Dykes; Woong K. Kim; Taylor Christiansen; Alexandra C. Businger; Stuart R. Lipsitz; Avery Pullman; Ania Syrowatka; Michael Sainlaire; Tien Thai; David W. Bates (AMIA, 2020)

Development and Alpha Testing of Specifications for a Prolonged Opioid Prescribing Electronic Clinical Quality Measure (eCQM). - Avery Pullman; Ania Syrowatka; Alexandra C. Businger; Michael Sainlaire; Stuart R. Lipsitz; Tien Thai; Woongki Kim; David W. Bates; Patricia C. Dykes (AMIA, 2020)

Re-tooling an Existing Clinical Quality Measure for Chronic Opioid Use to an Electronic Clinical Quality Measure (eCQM) for Post-Operative Opioid Prescribing: Development and Testing of Draft Specifications. - Ania Syrowatka; Avery Pullman; Woongki Kim; Stuart R. Lipsitz; Michael Sainlaire; Wenyu Song; Tien Thai; David W. Bates; Patricia C. Dykes (AMIA, 2020)

Testing of a Risk-Standardized Complication Rate Electronic Clinical Quality Measure (eCQM) for Total Hip and/or Total Knee Arthroplasty. - Mica R. Curtin-Bowen; Troy Li; Avery Pullman; Alexandra C. Businger; Stuart R. Lipsitz; Ania Syrowatka; Michael Sainlaire; Tien Thai; Jay R. Lieberman; Aileen Davis; Bonnie Blanchfield; David W. Bates; et al. (AMIA, 2021)

Development of four electronic clinical quality measures (eCQMs) for use in the Merit-based Incentive Payment System (MIPS) following elective primary total hip and knee arthroplasty. - Patricia C. Dykes; Mica R. Curtin-Bowen; Troy Li; Avery Pullman; Alexandra C. Businger; Stuart R. Lipsitz; Ania Syrowatka; Michael Sainlaire; Tien Thai; David W. Bates (AMIA, 2021)

Testing of a Risk-Standardized Major Bleeding and Venous Thromboembolism Electronic Clinical Quality Measure for Elective Total Hip and/or Knee Arthroplasties. - Troy Li; Mica R. Curtin-Bowen; Avery Pullman; Stuart R. Lipsitz; Ania Syrowatka; Michael Sainlaire; Tien Thai; Alexandra C. Businger; Aileen Davis; Jay R. Lieberman; Bonnie Blanchfield; David W. Bates; et al. (AMIA, 2021)

Multi-Site Testing of a Prolonged Opioid Prescribing Electronic Clinical Quality Measure Following Elective Primary Total Hip and/or Total Knee Arthroplasties. - Avery Pullman; Mica R. Curtin-Bowen; Ania Syrowatka; Alexandra C. Businger; Michael Sainlaire; Stuart R. Lipsitz; Tien Thai; Troy Li; David W. Bates; Patricia C. Dykes (AMIA, 2021)

Predicting Hospitalization of COVID-19 Positive Patients Using Machine Learning Methods. - Wenyu Song; Linying Zhang; Michael Sainlaire; Mehran Karvar; Min-Jeoung Kang; Avery Pullman; Anthony F. Massaro; Namrata Patil; Ravi Jasuja; Patricia C. Dykes (AMIA, 2021)

Testing a Novel Inpatient Respiratory Depression Electronic Clinical Quality Measure (eCQM) for Orthopedic Practice in Two Large U.S. Health Systems. - Ania Syrowatka; Troy Li; Mica Curtin-Bowen; Avery Pullman; Stuart R. Lipsitz; Michael Sainlaire; Wenyu Song; Tien Thai; Alexandra C. Businger; Kevin J. Bozic; William A. Jiranek; Jay R. Lieberman; et al. (MedInfo, 2021)

Development and Validation of an Extraction Tool for Identifying Signs and Symptoms of Venous Thromboembolism in Primary Care Clinical Notes. - John Laurentiev; Avery Pullman; Wenyu Song; Ania Syrowatka; Michael Sainlaire; Frank Yu Chang; Luwei Liu; Li Zhou 007; Patricia C. Dykes (AMIA, 2022)

Using EHR Data and Machine Learning Methods to Predict Fall Injury. - Wenyu Song; Luwei Liu; Hannah Rice; Michael Sainlaire; Lillian Min; Linying Zhang; Tien Thai; Min-Jeoung Kang; Mica Curtin-Bowen; Stuart R. Lipsitz; Lipika Samal; Nancy Latham; et al. (AMIA, 2022)

Leveraging Big Data and NLP to Understand Patient Care Trajectories and Delayed Diagnosis of Venous Thromboembolism in Primary Care. - Ania Syrowatka; Lipika Samal; John Laurentiev; Luwei Liu; Azza Omer; Wenyu Song; Michael Sainlaire; Frank Yu Chang; Tien Thai; Li Zhou 007; David W. Bates; Patricia C. Dykes (AMIA, 2022)

Opioid2MME: Standardizing opioid prescriptions to morphine milligram equivalents from electronic health records. - Juan Antonio Lossio-Ventura; Wenyu Song; Michael Sainlaire; Patricia C. Dykes; Tina Hernandez-Boussard (Int. J. Medical Informatics, 2022)

Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods. - Wenyu Song; Linying Zhang; Luwei Liu; Michael Sainlaire; Mehran Karvar; Min-Jeoung Kang; Avery Pullman; Stuart R. Lipsitz; Anthony F. Massaro; Namrata Patil; Ravi Jasuja; Patricia C. Dykes (J. Am. Medical Informatics Assoc., 2022)

Predicting COVID-19 severity: Challenges in reproducibility and deployment of machine learning methods. - Luwei Liu; Wenyu Song; Namrata Patil; Michael Sainlaire; Ravi Jasuja; Patricia C. Dykes (Int. J. Medical Informatics, 2023)

User Actions within a Clinical Decision Support Alert for the Management of Hypertension in Chronic Kidney Disease. - Lipika Samal; Sarah W. Chen; Stuart R. Lipsitz; Heather J. Baer; John L. Kilgallon; Michael P. Gannon; Ryan Dunk; Weng Ian Chay; Fei Richard Yu; Michael Sainlaire; Chenxi Gao; Matthew Wien; et al. (Appl. Clin. Inform., 2025)