Andy Behrens
Andrew Behrens
Assistant Professor/Undergrad Coordinator for Info Systems/Co-Coordinator COE
Department
College of Business & Information Systems
Education
Ph.D., Information Systems - Dakota State University, 2024
M.S., Information Systems - Dakota State University, 2018
B.S., Information Systems - Dakota State University, 2015
Biography
Dr. Andy Behrens is an Assistant Professor of Information Systems at Dakota State University's College of Business & Information Systems. He has a Ph.D. in Information Systems with a specialization in Analytics and Decision Support from DSU. His research focuses on innovative technologies and their impact. His dissertation, "Catalysts and Challenges of Intelligent Clinical Decision Support Systems," highlights his expertise in this area. Dr. Behrens is involved in curriculum development, student recruitment, retention strategies, and promoting educational alignment with industry. He has authored multiple peer-reviewed publications and presented at numerous conferences contributing significantly to the academic community. Additionally, he serves on various academic committees, mentors students, and collaborates with industry professionals to bridge the gap between academic theory and practical application.
Contact
Office Location: East Hall
Phone: (605) 256-5165
Email
Website
Dr. Behrens research interests:
- Data Analytics
- Applied Artificial Intelligence
- System Analysis and Design
- Intelligent Clinical Decision Support Systems
- 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
BOOK CHAPTERS (PEER-REVIEWED)
- 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.
JOURNAL PROCEEDINGS AND PRESENTATIONS (PEER-REVIEWED)
- 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).
CONFERENCE PROCEEDINGS (PEER-REVIEWED)
- Behrens, Andrew J.; Liu, Jun; and Noteboom, Cherie Bakker, "A Design Theory for Intelligent Clinical Decision Support" (2022). AMCIS 2022 Proceedings. 18.
https://aisel.aisnet.org/amcis2022/sig_health/sig_health/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.