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Majors & Degrees

Andrew Behrens

Andrew Behrens

Andrew Behrens

Assistant Professor/Undergraduate CIS Program Coordinator


College of Business and Information Systems


Ph.D., Information Systems - Dakota State University, 2022
M.S., Information Systems - Dakota State University, 2018
B.S., Information Systems - Dakota State University, 2015


Andy Behrens is an assistant professor specializing in analytics and information system analysis and design. He is also the Coordinator of the Computer Information Systems undergraduate program, and he co-advises the Association for Information Systems chapter. In addition, Andy advises the World Language Club. His research interests include applied artificial intelligence and analytics in healthcare and system analysis and design. He has publications in conferences and journals. 


Office Location: East Hall
Phone: (605) 256-5165

Behrens research interests include:

  • Digital Health
  • Predictive Analytics
  • Data Analytics
  • Business Intelligence
  • Big Data
  • Artificaial Intelligence
  • Clinical Decision Support Systems
  • System Analysis and Design

  • FRI Recipient for the project “Understanding Physicians’ Perceptions of Artificial Intelligence in Digital Health” | 2021
  • Nominated by faculty for 20 to Watch in 2020 for Excellence in Teaching | 2020
  • FRI Recipient for the project “Understanding the Perceptions of Physicians and Healthcare Providers on IT Project Communication” | 2019


  • Noteboom, C. B., Zeng, D., Sutrave, K., Behrens, A., Godasu, R., & Chauhan, A. (2021). Adoption of Data-Driven Clinical Decision Support Systems: A Systematic Review. In Encyclopedia of Data Science and Machine Learning. IGI Global.

  • Behrens, A., Ofori, M., Noteboom, C., & Bishop, D. (2021). A systematic literature review: how agile is agile project management?. Issues in Information Systems, 22(3).


  • Behrens, Andrew J.; Liu, Jun; and Noteboom, Cherie Bakker, "A Design Theory for Intelligent Clinical Decision Support" (2022). AMCIS 2022 Proceedings. 18.
  • Behrens, A. & Noteboom, C.B. (2022). Generative Adversarial Networks in Tumor-Related Research: A Systematic Literature Review. SAIS 2021 Proceedings.
  • Noteboom, C.B., Behrens, A., Crandall, K., & Zeng, D. (2022). People, Process, And Technology in Clinical Decision Support Systems: A Meta-Analysis. SAIS 2021 Proceedings.
  • Top 25% of Papers. El-Gayar, O., Elnoshokaty, A., & Behrens, A. (2021). Understanding Design Features for Continued Use of Wearables Devices. AMCIS 2021 Proceedings. https://aisel.aisnet.org/amcis2021/healthcare_it/sig_health/10
  • Abstract. Behrens, A. & Basyal, G., (2021). Predicting Elderly Emergency Department Patient Readmission to the Hospital: A Machine Learning Approach. NEDSI 2021 Proceedings.
  • Behrens, A., Noteboom, C. B., & Bishop, D. (2019). How can Health Technology Project Communications be Improved in a Hospital? MWAIS 2019 Proceedings. https://aisel.aisnet.org/mwais2019/4
  • Behrens, A., Ragothaman, K., Bishop, D., & Noteboom, C.B. (2019). What are Healthcare Providers’ Perceptions of Health Information Technology Project Training? MWAIS 2019 Proceedings. https://aisel.aisnet.org/mwais2019/13

  • Poster and Oral Presentation. Behrens, A. & Noteboom, C.B. (2022). Generative Adversarial Networks in Tumor-Related Research: A Future Agenda. SDSU Data Science Symposium 2022.