Chad Dorn, PSM

Chad A. Dorn, PSM, has worked in healthcare, with a focus on data analysis and database development, for over fifteen years. His work within the biomedical informatics Center for Improving the Public's Health through Informatics (CIPHI) research group includes contributions to projects focused on cardiac care, acute kidney injury, rural health, prescribing feedback, and computable phenotypes. His prior work includes activities related to healthcare quality improvement and patient safety. He has earned a master’s degree in Computer Science and Quantitative Methods and a bachelor’s degree in Mathematics.

Chad has contributed to the following publications:

• Development of Electronic Health Record–Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction | Acute Coronary Syndromes | JAMA Network Open | JAMA Network
• Identifying Potential Therapeutic Applications and Diagnostic Harms of Increased Bilirubin Concentrations: A Clinical and Genetic Approach - Zanussi - 2022 - Clinical Pharmacology & Therapeutics - Wiley Online Library
• Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission? | Journal of the American Heart Association (ahajournals.org)
• Validating a Computable Phenotype for Nephrotic Syndrome in Children and Adults Using PCORnet Data | American Society of Nephrology (asnjournals.org)
• Proton-pump inhibitor use is not associated with severe COVID-19-related outcomes: a propensity score-weighted analysis of a national veteran cohort | Gut (bmj.com)