Eric S. Kirkendall, MD, MBI, FAAP

Associate Chief Medical Information Officer, Information Services

Attending Hospitalist, Division of Hospital Medicine

Clinical Informaticist, Division of Biomedical Informatics

Academic Affiliations

Associate Professor, UC Department of Pediatrics

UC Department of Biomedical Informatics

Phone 513-636-1945

Fax 513-803-9245


Hospital medicine


Medical/clinical informatics; patient safety; quality improvement; artificial intelligence; novel software development

Eric Kirkendall, MD, MBI, is an associate professor of Pediatrics at Cincinnati Children’s Hospital Medical Center within the University of Cincinnati College of Medicine. He is the first Associate CMIO in Cincinnati Children's history and oversees the design, implementation, and optimization of the electronic health record and other associated technologies.

From a research perspective, Dr. Kirkendall co-leads the Decision Support Analytics Workgroup (DSAW), which investigates the links between the effectiveness of clinical decision support (CDS), patient safety, and user efficiency. His research has demonstrated ties between decreasing alert burden on clinicians, increasing CDS alert salience, and improving patient outcomes.

Many of Dr. Kirkendall’s research projects have also incorporated artificial intelligence techniques (e.g., natural language processing) and other innovative methods to detect adverse events/harm across multiple hospital environments. These techniques are innovative because they allow investigators to use unstructured data that would otherwise be unavailable for analysis. The results have shown vast improvements in detecting errors related to medication administrations. This work is currently ongoing and is supported by R01 grant funding from the National Library of Medicine.

Pediatric acute kidney injury (AKI) results from needless exposure to nephrotoxic medications (NTMx). At Cincinnati Children's, Dr. Kirkendall worked with the Center for Acute Care Nephrology to develop a catalog of detection and risk-stratifying electronic triggers that have resulted in NTMx-AKI reductions of 25-50% across four novel metrics, preventing over 400 children from developing AKI. He has led the development of these triggers, as well as development of a custom application that is key to data collection and improvement methods. This work has spread to 9 other sites, with spread to approximately 80 more sites planned.

BS: Biology, University of Toledo, Toledo, OH, 1999.

MD: University of Cincinnati, Cincinnati, OH, 2003.

Residency: Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 2006.

MBI: Oregon Health & Science University, Portland, OR, 2012.

Certification: American Board of Pediatrics, 2006; Clinical Informatics, 2014.

View PubMed Publications

Li Q, Kirkendall ES, Hall ES, Ni Y, Lingren T, Kaiser M, Lingren N, Zhai H, Solti I. Automated Detection of Medication Administration Errors in Neonatal Intensive Care. Journal of Biomedical Informatics. 2015 Jul 15.

Stockwell DC, Bisarya H, Classen DC, Kirkendall ES, Landrigan CP, Lemon V, Tham E, Hyman D, Lehman SM, Searles E, Hall M, Muething SE, Sharek PJ. A Trigger Tool to Detect Harm in Pediatric Inpatient Settings. Pediatrics. 2015 Jun;135(6)1036-42.

Lehmann CU, Council on Clinical Information Technology, Weinberg ST, Alexander GM, Beyer EL, Del Beccaro MA, Francis AB, Handler EG, Johnson TD, Kirkendall ES, Lighter DE, Morgan SJ, Raskas MD, Tham E, Webber EC. Pediatric Aspects of Inpatient health Information Technology Systems. Pediatrics. 2015 Mar.

Stockwell DC, Bisarya H, Classen DC, Kirkendall ES, Lachman PI, Matlow AG, Tham E, Hyman D, Lehman SM, Searles E, Muething SE, Sharek PJ. Development of an Electronic Pediatric All-Cause Harm Measurement Tool Using the Modified Delphi Method. Journal of Patient Safety. 2014 Aug 26.

Kirkendall ES, Spires WL, Mottes TA, Schaffzin JK, Barclay C, Goldstein SL. Development and Performance of Electronic Acute Kidney Injury Triggers to Identify Pediatric Patients at Risk for Nephrotoxic Medication-associated Harm. Applied Clinical Informatics. 2014 Apr 2;5(2):313-33.

Li Q, Melton K, Lingren T, Kirkendall ES, Hall E, Zhai H, Ni Y, Kaiser M, Stoutenborough L, Solti I. Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care. J Am Med Inform Assoc. 2014 Sep;21(5):776-84.

Kirkendall ES, Kouril M, Minich T, Spooner SA. Analysis Of Electronic Medication Orders With Large Overdoses: Opportunities For Mitigating Dosing Errors. Applied Clinical Informatics. 2014;5(1):25-45.

Goldstein SL, Kirkendall E, Nguyen H, Schaffzin JK, Bucuvalas J, Bracke T, Seid M, Ashby M, Foertmeyer N, Brunner L, Lesko A, Barclay C, Lannon C, Muething S. Electronic Health Record Identification of Nephrotoxin Exposure and Associated Acute Kidney Injury. Pediatrics. 2013 Sep;132(3):e756-67.

Kirkendall ES, Spooner SA, Logan JR. Evaluating the accuracy of electronic pediatric drug dosing rules. J Am Med Inform Assoc. 2013 Jun 28.

Kirkendall ES, Kloppenborg E, Papp J, White D, Frese C, Hacker D, Schoettker PJ, Muething S, Kotagal U. Measuring Adverse Events and Levels of Harm in Pediatric Inpatients with the Global Trigger Tool. Pediatrics. 2012 Nov;130(5):e1206-14.

Improving Intensive Care Medication Safety through EHR-based Algorithms. Principal Investigator. National Library of Medicine. 2015-2019.

NINJA2: Reduction of Nephrotoxic Medication-associated Acute Kidney Injury in Children. Co-investigator. Agency for Healthcare Research and Quality. 2015-2018.

Pursuing Perfection in Pediatric Therapeutics. Clinical Scientist – Informatics Expert. Agency for Healthcare Research and Quality. 2011-2016.