Steve Johnson

Research Assistant Professor, BioMedical Health Informatics

Emailjoh06288@umn.edu

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Expertise related to UN SDGs

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

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Recent external collaboration on country level. Dive into details by clicking on the dots.

1 Finished
2 Active

Enhancing the University of Minnesota COVID-19 Registry for Optimal Data Contribution to the NCATS National COVID Cohort Collaborative (N3C) Repository
Johnson, S., Melton-Meaux, G. B., Meyer, T. & Weisdorf, D. J.
NIH NAT'L CTR FOR ADVANCING TRAN SCIENCE
9/23/20 → 6/30/21
Project: Research project
University of Pittsburgh Clinical and Translational Scie
Johnson, S. & AbuSalah, A. M.
University of Pittsburgh
10/1/16 → 5/31/21
Project: Research project
Toward Pharmacogenomics-Enabled Healthcare at Statewide Scale: Implementing Precision Medicine
Aliferis, MD, PhD, C., Bishop, J. R., Brown, J. T., Capacchione, J. F., Farley, J. F., Fu, S. S., Gregornik, D. B., Huang, R. S. S., Jacobson, P. A., Johnson, S., Jones, R. B., Karaca Mandic, P., Kosar, E. M., LeRoy, B. S., McCarty, C. A., McGeveran, W., Melton-Meaux, G. B., Murugappan, M. N., Ness, B. L., Roiko, S. A., Schondelmeyer, S. W., Schwarcz, D., Seifert, R. D., Sorensen, T. D., Sorge, L. A., Speedie, M. K., Stenehjem, D. D., Thyagarajan, B., Winterhoff, B. J., Wolf, S. M., Yee, D. & Zierhut, H.
1/1/19 → 1/31/21
Project: Grand Challenges

12 Article
2 Conference contribution

Information Models Offer Value to Standardize Electronic Health Record Flowsheet Data: A Fall Prevention Exemplar
Lytle, K. S., Westra, B. L., Whittenburg, L., Adams, M., Akre, M., Ali, S., Furukawa, M., Hartleben, S., Hook, M., Johnson, S. G., Settergren, T. & Thibodeaux, M., Mar 15 2021, (E-pub ahead of print) In: Journal of Nursing Scholarship.
Research output: Contribution to journal › Article › peer-review
Pain Information Model and Its Potential for Predictive Analytics: Applicability of a Big Data Science Framework RH: Information Model Data Science Framework
Gaedke Nomura, A. T., de Abreu Almeida, M., Johnson, S. & Pruinelli, L., 2021, (Accepted/In press) In: Journal of Nursing Scholarship.
Research output: Contribution to journal › Article › peer-review
An Applied Healthcare Data Science Roadmap for Nursing Leaders: A Workshop Development, Conceptualization, and Application
Pruinelli, L., Johnson, S. G., Fesenmaier, B., Winden, T. J., Coviak, C. & Delaney, C. W., Oct 2020, In: CIN - Computers Informatics Nursing. 38, 10, p. 484-489 6 p.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
A refined methodology for validation of information models derived from flowsheet data and applied to a genitourinary case
Westra, B. L., Lytle, K. S., Whittenburg, L., Adams, M., Ali, S., Furukawa, M., Hartleben, S., Hook, M., Johnson, S., Collins Rossetti, S. & Settergren, T. T., Nov 1 2020, In: Journal of the American Medical Informatics Association. 27, 11, p. 1732-1740 9 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Machine Learned Mapping of Local EHR Flowsheet Data to Standard Information Models using Topic Model Filtering
Johnson, S. G., Pruinelli, L. & Westra, B. L., 2019, In: AMIA ... Annual Symposium proceedings. AMIA Symposium. 2019, p. 504-513 10 p.
Research output: Contribution to journal › Article › peer-review