Steven Johnson, PhD
8-112 Phillips Wagensteen Building
516 Delaware St. SE
Minneapolis, MN 55455
United States
Steve Johnson, PhD is an Assistant Professor and Director of the Division for Informatics Innovation Dissemination in the Institute for Health Informatics (IHI) at the University of Minnesota. He has had an extensive career in the healthcare industry with a successful record of leading technology, product development and data analytics teams. He was most recently VP of Technology and Clinical Informatics at Wolters Kluwer where he oversaw product development and medical content for clinical documentation and clinical decision support products. Prior to that, he was Chief Technology Officer (CTO) and VP of Data Analytics for Experian Health where he oversaw technology and architecture for all healthcare products, including data and analytics for a 150M patient data repository. Dr. Johnson’s research is focused on enhancing the secondary use of EHR data using healthcare data science and machine learning, improving clinical decision support and using rich ontologies to model clinical knowledge.
Education
Director, Informatics Innovation Dissemination,
Core Faculty, Institute for Health Informatics
PhD, University of Minnesota (Health Informatics)
MS, University of Minnesota (Computer Science)
BS, University of Minnesota (Physics)
Research
Research Summary/Interests
- Electronic Health Record (EHR) Data Quality
- Secondary Use of EHR Data
- Clinical Decision Support
- Clinical Knowledge Representation and Ontologies
- Healthcare Data Analytics and Data Science
- Machine Learning
Publications
1.Westra BL, Johnson SG, Ali S, Bavuso KM, Cruz CA, Collins S, Furukawa M, Hook ML, LaFlamme A, Lytle K, Pruinelli L. Validation and Refinement of a Pain Information Model from EHR Flowsheet Data. Applied Clinical Informatics. 2018;9(01):185-98.
2.Johnson SG, Pruinelli L, Christie B, Delaney CW, Gao G, LaFlamme AF, Park J, Sherman SG, Westra BL. FloMap: A Collaborative Tool for Mapping Local EHR Flowsheet Data to Information Models. AMIA 2017 Summit on Clinical Research Informatics Proceedings. San Francisco, CA; 2017.
3.Westra BL, Christie B, Johnson SG, Pruinelli L, Laflamme A, Sherman SG, et al. Modeling Flowsheet Data to Support Secondary Use. CIN: Computers, Informatics, Nursing. 2017;35:452-458.
4.Johnson SG, Speedie S, Simon G, Westra BL. Quantifying the Effect of Data Quality on the Validity of an eMeasure. Journal of Applied Clinical Informatics. 2017;8:1012–21.
5.Kahn MG, Callahan TJ, Barnard J, Bauck A, …, Johnson SG, …, Schilling L. A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data. eGEMs. 2016;4(1):1244. doi:10.13063/2327-9214.1244.
6.Westra BL, Christie B, Johnson SG, Pruinelli L, Laflamme A, Park JI, Sherman SG, Byrne MD, Ranallo P, Speedie S. Expanding Interprofessional EHR Data in i2b2. AMIA 2016 Summit on Clinical Research Informatics Proceedings. San Francisco, CA; 2016. p. 260–8
7.Johnson SG, Speedie SM, Simon G, Kumar V, Westra BL. Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. Journal of Applied Clinical Informatics. 2016;7:69–88.
8.Johnson SG, Speedie S, Simon G, Kumar V, Westra BL. A Data Quality Ontology for the Secondary Use of EHR Data. AMIA 2015 Annual Symposium Proceedings. American Medical Informatics Association; 2015. p. 1937–46.
9.Johnson SG, Byrne MD, Christie B, Delaney CW, LaFlamme A, Park JI, Pruinelli L, Sherman S, Speedie S, Westra BL. (2015). Modeling Flowsheet Data for Clinical Research. AMIA 2015 Summit on Clinical Research Informatics Proceedings. 2015 Mar(25), 77-81.