Steven Johnson, PhD

Research
Clinical
Consumer Health Informatics
Health Data Science
Pharmacogenomics
Predictive Analytics
Steven Johnson
[email protected]
612-625-7940

8-112 Phillips Wagensteen Building
516 Delaware St. SE
Minneapolis, MN 55455
United States

Steve Johnson, PhD is an Assistant Professor in the Institute for Health Informatics and Associate Director, CTSI Health Informatics Program at the University of Minnesota. His research is focused on enhancing the secondary use of electronic health record (EHR) data using healthcare data science and machine learning, improving clinical decision support and using rich ontologies to model clinical knowledge. Dr. Johnson oversees the research data warehouse and supports researchers in their use of clinical, genomic, image and unstructured data. He manages the University’s national research network collaborations including with the N3C, PCORNet, SenNet and All of Us. Prior to joining the University, he had a successful career as VP/CTO in leading healthcare companies where he led technology, product development and data analytics teams.

Education

  • Associate Director, CTSI Health Informatics Program
  • Core Faculty, Institute for Health Informatics
  • PhD, University of Minnesota (Health Informatics)
  • MS, University of Minnesota (Computer Science)
  • BS, University of Minnesota (Physics)

Expand all

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. Johnson SG, Abedian S, Stürmer T, Huling JD, Lewis V C, Buse JB, Brosnahan SB, Mudumbi PC, Erlandson KM, McComsey GA, Arnold J, Wiggen TD, Wong R, Murphy S, Rosen C, Kaushal R, Weiner MG, Bramante C.. Prevalent Metformin Use in Adults With Diabetes and the Incidence of Long COVID: An EHR-Based Cohort Study From the RECOVER Program. Diabetes care. 2024 Sep 17:dca240032.
  2. Volkov B, Pulley C, Sieger G, Johnson SG. Translational Health Informatics Support Service Practices, Challenges, and Facilitators. Journal of Clinical and Translational Science. 2024;8(s1):55-55. doi:10.1017/cts.2024.174
  3. Wieben A, Walden R, Alreshidi BG, Brown S, Cato K, Coviak C, Cruz C, D'Agostino F, Douthit B, Forbes T, Gao G, Johnson S, Lee MA, Mullen-Fortino M, Park J, Park S, Pruinelli L, Reger A, Role J, Schultz MA, Sileo M, Vyas P, Jeffery AD. Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Applied Clinical Informatics. 2023 May 7(AAM).
  4. Bramante CT, Johnson SG, Garcia V, Evans MD, Harper J, Wilkins KJ, Huling JD, Mehta H, Alexander C, Tronieri J, Hong S. Diabetes medications and associations with Covid-19 outcomes in the N3C database: A national retrospective cohort study. PLoS One. 2022 Nov 17;17(11):e0271574.
  5. Bradwell KR, Wooldridge JT, Amor B, Bennett TD, Anand A, Bremer C, Yoo YJ, Qian Z, Johnson SG, Pfaff ER, Girvin AT. Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset. Journal of the American Medical Informatics Association. 2022 Jul;29(7):1172-82.
  6. Winkelman TNA, Margolis KL, Waring S, Bodurtha PJ, Khazanchi R, Gildemeister S, Mink PJ, DeSilva M, Murray AM, Rai N, Sonier J, Neely C, Johnson SG, Chamberlain AM, Yu Y, McFarling LM, Dudley RA, Drawz PE. Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data. Public Health Rep. 2022 Mar-Apr;137(2):263-271. doi: 10.1177/00333549211061317. Epub 2022 Jan 21. PubMed PMID: 35060411; PubMed Central PMCID: PMC8900228.
  7. Drawz PE, DeSilva M, Bodurtha P, Benitez GV, Murray A, Chamberlain AM, Dudley RA, Waring S, Kharbanda AB, Murphy D, Muscoplat MH, Melendez V, Margolis KL, McFarling L, Lupu R, Winkelman TNA, Johnson SG. Effectiveness of BNT162b2 and mRNA-1273 Second Doses and Boosters for SARS-CoV-2 infection and SARS-CoV-2 Related Hospitalizations: A Statewide Report from the Minnesota Electronic Health Record Consortium. Clin Infect Dis. 2022 Feb 7;. doi: 10.1093/cid/ciac110. [Epub ahead of print] PubMed PMID: 35137021; PubMed Central PMCID: PMC8903410
  8. Mroz P, Michel S, Allen JD, Meyer T, McGonagle EJ, Carpentier R, Vecchia A, Schlichte A, Bishop JR, Dunnenberger HM, Yohe S, Thyagarajan B, Jacobson PA, Johnson SG. Development and Implementation of In-House Pharmacogenomic Testing Program at a Major Academic Health System. Frontiers in genetics. 2021;12.
  9. Lytle KS, Westra BL, Whittenburg L, Adams M, Akre M, Ali S, Furikawa M, Hartleben S, Hook M, Johnson SG, Settergren TT, Thibodeaux M. Information Models Offer Value to Standardize Electronic Health Record Flowsheet Data: A Fall Prevention Exemplar. J Nurs Scholarship. 2021;53:306–14.
  10. Johnson SG, Pruinelli L, Hoff A, Kumar V, Simon GJ, Steinbach M, Westra BL. A Framework for Visualizing Data Quality for Predictive Models and Clinical Quality Measures. AMIA Summits on Translational Science Proceedings. 2019;2019:630.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.

Teaching

HINF 8430 Foundations of Health Informatics I Lab (Fall)

This PhD-level lab complements the foundational health informatics courses and uses a hands-on approach to teaching health data science concepts. Topics covered include: accessing and using observational data (EHR) in secure enclaves; data standardization, harmonization and terminology mapping; data quality and preparation; data transformation and visualization; feature selection and fact table construction. Lab exercises and a student project teach the student the full life-cycle of a health data science project.