A photo of Kevin Dufendach.

Kevin R. Dufendach, MD, MS

  • Attending Neonatologist, Neonatology and Pulmonary Biology
  • Clinical Informaticist, Division of Biomedical Informatics
  • Assistant Professor, UC Department of Pediatrics
  • UC Department of Biomedical Informatics



In my own life, I find fulfillment when I help others succeed. Through my research, I want to empower clinicians to improve the lives of children. In clinical practice, I focus on neonatology, congenital diaphragmatic hernia and neonatal respiratory physiology.

My research focus includes clinical informatics. More specifically, I work toward improving usability in the science of healthcare delivery. I try to bring modern technologies, such as machine learning and dynamic interfaces, into patient care safely.

As a long-term hobby programmer, I enjoy the puzzle of writing code to coax computers into performing specific tasks. As a resident physician, I organized data for newborn care using simple spreadsheets and Visual Basic scripts. This information not only helped clinicians by presenting the relevant clinical information concisely, but it also generated a streamlined clinical note, including any didactic comments from the clinician. This experience helped me recognize my potential to combine my clinical and informatics expertise to help others succeed.

My current research allows me to automate some tasks, such as information gathering and data mining. Clinicians then interpret this information to provide better clinical care for every patient. I am at my best when I help improve the effectiveness, efficiency and satisfaction of healthcare providers.



A Randomized Trial Comparing Classical Participatory Design to VandAID, an Interactive CrowdSourcing Platform to Facilitate User-centered Design. Dufendach, KR; Koch, S; Unertl, KM; Lehmann, CU. Methods of Information in Medicine. 2017; 56:344-349.


Topics in Neonatal Informatics: Essential Functionalities of the Neonatal Electronic Health Record. Dufendach, KR; Lehmann, CU. NeoReviews. 2015; 16:e668-e673.


Core Functionality in Pediatric Electronic Health Records. Dufendach, KR; Eichenberger, JA; McPheeters, ML; Temple, MW; Bhatia, HL; Alrifai, MW; Potter, SA; Weinberg, ST; Johnson, KB; Lehmann, CU. Rockville, MD: Agency for Healthcare Research and Quality (US).

Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants. Shah, M; Shu, D; Prasath, VB S; Ni, Y; Schapiro, AH; Dufendach, KR. Applied Clinical Informatics. 2021; 12:856-863.

Web Services and Cloud Computing in Pediatric Care. Leu, MG; Weinberg, ST; Monsen, C; Lehmann, CU; Webber, EC; Alexander, GM; Beyer, EL; Chung, SL; Dufendach, K; Hamling, AM; et al. Pediatrics. 2021; 148.

Integrating Web Services/Applications to Improve Pediatric Functionalities in Electronic Health Records. Weinberg, ST; Monsen, C; Lehmann, CU; Leu, MG; Webber, EC; Alexander, GM; Beyer, EL; Chung, SL; Dufendach, KR; Hamling, AM; et al. Pediatrics. 2021; 148.

Risk Calculator to Predict Cesarean Delivery Among Women Undergoing Induction of Labor. Rossi, RM; Requarth, E; Warshak, CR; Dufendach, KR; Hall, ES; DeFranco, EA. Obstetrics and Gynecology. 2020; 135:559-568.

Electronic Health Record-Embedded Decision Support Platform for Morphine Precision Dosing in Neonates. Vinks, AA; Punt, NC; Menke, F; Kirkendall, E; Butler, D; Duggan, TJ; Cortezzo, DE; Kiger, S; Dietrich, T; Spencer, P; et al. Clinical Pharmacology and Therapeutics. 2020; 107:186-194.

Predictive Model for Failed Induction of Labor Among Obese Women. Rossi, RM; Requarth, EW; Warshak, CR; Dufendach, K; Hall, ES; DeFranco, EA. Obstetrics and Gynecology. 2019; 134:485-493.

Predictive Model of Factors Associated With Maternal Intensive Care Unit Admission. Rossi, RM; Hall, E; Dufendach, K; DeFranco, EA. Obstetrics and Gynecology. 2019; 134:216-224.

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