A photo of Stephen A. Spooner.

Chief Medical Information Officer, Biomedical Informatics

Attending Physician, Division of Hospital Medicine

Professor, UC Department of Pediatrics


Board Certified

My Biography & Research


Dr. Spooner practices general academic pediatrics and serves as the Chief Medical Information Officer for Cincinnati Children’s. He is also actively involved in patient-centered research. He and his research group have created a data warehouse focusing on medication alerts stretching back five years, into which they have built several metrics of user alert-response behavior. They are using this warehouse to answer questions about how clinical users manage the load of decision-support alerts in the system and how they detect potential harmful overdose errors. They are collaborating with an external machine-learning vendor that is working with the hospital’s safety leaders on safety analytics to bring more powerful tools to bear on the problem of alert fatigue and user overload. On other fronts, Dr. Spooner is researching decision support for weight data-entry errors that can have profound effects on medication safety. His group is working with business intelligence systems interfaced to the electronic medical record to tune decision support to unprecedented specificity and sensitivity.

Research Interests

Learn more about the Decision Support Analytics Workgroup.

Academic Affiliation

Professor, UC Department of Pediatrics


Hospital Medicine, Biomedical Informatics, Hospital Medicine

Blog Posts

My Publications

Selected Publication

The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital. Dexheimer, JW; Kirkendall, ES; Kouril, M; Hagedorn, PA; Minich, T; Duan, LL; Mahdi, M; Szczesniak, R; Spooner, SA. Applied Clinical Informatics. 2017; 8:491-501.

Assessing Frequency and Risk of Weight Entry Errors in Pediatrics. Hagedorn, PA; Kirkendall, ES; Kouril, M; Dexheimer, JW; Courter, J; Minich, T; Spooner, SA. JAMA Pediatrics. 2017; 171:392-393.

Automated identification of antibiotic overdoses and adverse drug events via analysis of prescribing alerts and medication administration records. Kirkendall, ES; Kouril, M; Dexheimer, JW; Courter, JD; Hagedorn, P; Szczesniak, R; Li, D; Damania, R; Minich, T; Spooner, SA. Journal of the American Medical Informatics Association. 2017; 24:ocw086-ocw086.

An end-to-end hybrid algorithm for automated medication discrepancy detection. Li, Q; Spooner, SA; Kaiser, M; Lingren, N; Robbins, J; Lingren, T; Tang, H; Solti, I; Ni, Y. BMC Medical Informatics and Decision Making. 2015; 15:37-37.

Evaluating the accuracy of electronic pediatric drug dosing rules. Kirkendall, ES; Spooner, SA; Logan, JR. Journal of the American Medical Informatics Association. 2014; 21:e43-e49.

Analysis Of Electronic Medication Orders With Large Overdoses. Kirkendall, ES; Kouril, M; Minich, T; Spooner, SA. Applied Clinical Informatics. 2014; 5:25-45.

Assessing the reliability of an automated dose-rounding algorithm. Johnson, KB; Ho, Y; Spooner, SA; Palmer, M; Weinberg, ST. Journal of Biomedical Informatics. 2013; 46:814-821.

Impact of electronic health record implementation on patient flow metrics in a pediatric emergency department. Kennebeck, SS; Timm, N; Farrell, MK; Spooner, SA. Journal of the American Medical Informatics Association. 2012; 19:443-447.

Automated Dose-Rounding Recommendations for Pediatric Medications. Johnson, KB; Lee, CK K; Spooner, A; Davison, CL; Helmke, JS; Weinberg, ST. Pediatrics. 2011; 128:e422-e428.

Development and preliminary evaluation of a visual annotation tool to rapidly collect expert-annotated weight errors in pediatric growth charts. Van Camp, PJ; Monifa Mahdi, C; Liu, L; Ni, Y; Andrew Spooner, S; Wu, DT Y. Studies in Health Technology and Informatics. 2019; 264:853-857.