A photo of Kevin Dufendach.

Attending Neonatologist, Neonatology and Pulmonary Biology

Clinical Informaticist, Division of Biomedical Informatics

Assistant Professor, UC Department of PediatricsUC Department of Biomedical Informatics


Board Certified

My Biography & Research


Kevin Dufendach, MD, MS, is an assistant professor in the divisions of Neonatology and Pulmonary Biology and Biomedical Informatics. His research focuses on user-centered design of electronic health record system software. Specifically, he is interested in incorporating human factors principles into the design of human-computer interfaces to better improve information communication for both provider-facing as well as patient-facing applications. Dr. Dufendach’s current research seeks to improve parental engagement in the neonatal intensive care unit through a neonatal-specific inpatient portal application.

Clinical Interests


Research Interests

Clinical informatics; user-centered design; human-computer interaction; quality improvement; novel software development

Academic Affiliation

Assistant Professor, UC Department of PediatricsUC Department of Biomedical Informatics


Neonatology, Perinatal, Fetal Care, Newborn Intensive Care NICU, Biomedical Informatics

My Education

BA: Mathematics and Chemistry, Taylor University, Upland, IN, 2006.

MD: Mayo Clinic College of Medicine, Rochester, MN, 2010.

Residency: Pediatrics, Mayo Clinic College of Medicine, Rochester, MN, 2013.

Fellowship: Neonatal and Perinatal Medicine, Vanderbilt University Medical Center, Nashville, TN, 2016.

MS: Biomedical Informatics, Vanderbilt University, Nashville, TN, 2016.

Certification: American Board of Pediatrics, 2013.

My Publications

Selected Publication

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: journal of methodology in medical research, information and documentation. 2017; 56:344-349.

Essential functionalities of the neonatal electronic health record. Dufendach, KR; Lehmann, CU. NeoReviews.org. 2015; 16:e668-e675.

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).

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.

Neonatal Lung Disease Associated with TBX4 Mutations. Suhrie, K; Pajor, NM; Ahlfeld, SK; Dawson, DB; Dufendach, KR; Kitzmiller, JA; Leino, D; Lombardo, RC; Smolarek, TA; Rathbun, PA; et al. The Journal of Pediatrics. 2019; 206:286-292.e1.

Assessing the Readability of Freely Available ICU Notes. Su, W; Dufendach, K; Wu, DT Y. Amia Summits on Translational Science Proceedings. 2019; 2019:696-703.

Refractory respiratory failure and pneumothorax in a full-term newborn. Reed, BD; Arya, S; Dufendach, KR; Leino, D. NeoReviews.org. 2018; 19:e109-e111.