Andy Behrens
Andy Behrens
Assistant Professor
Department
College of Business & Information Systems
Education
Ph.D., Information Systems, Specialization in Analytics and Decision Support, Dakota State University, 2024
M.S., Information Systems, Specialization in Infrastructure Analysis and Change Management, Dakota State University, 2018
B.S., Computer Information Systems, Specialization in Infrastructure Analysis and Change Management, Dakota State University, 2015
Biography
Dr. Andy Behrens is an Assistant Professor of Information Systems at Dakota State University. His teaching and research focus on artificial intelligence, data analytics, decision support systems, and the application of emerging technologies to organizational and healthcare challenges.
His research examines intelligent clinical decision support, explainable artificial intelligence, healthcare information systems, and the translation of research into practical applications. He also serves as a Research Data Scientist with the Veterans Affairs Medical Center in Sioux Falls and leads NSF I-Corps activities at Dakota State University, supporting faculty and student teams in customer discovery, innovation, and technology commercialization.
Behrens is especially interested in connecting academic research, experiential learning, and industry needs through applied AI, analytics, entrepreneurship, and interdisciplinary collaboration.
Contact
Office Location: East Hall
Phone: (605) 256-5165
Email
Website
- Artificial Intelligence and Applied AI
- Data Analytics and Predictive Analytics
- Decision Support Systems
- Emerging Information Systems Technologies
- Artificial Intelligence
- Data Analytics
- Research Translation
- Intelligent Decision Support Systems
- Explainable Artificial Intelligence
- Technology Commercialization and Applied Innovation
- Winner of Dr. Ernest Teagarden Award of Excellence in Teaching, 2025
- Nominee for “Outstanding Faculty Contributor” by students, 2024-2025
- Faculty Nominee, 20 to Watch for Excellence in Teaching, 2020
- ACUE Certificate in the Effective Teaching Practice Framework
- Development of a Beginner Data Analytics Course for Open-Source Intelligence, Principal Investigator, 2025–present; $18,000 awarded
- START Grant — NSF CAREER Proposal Development, Principal Investigator, 2026; $5,000 awarded
- Student Research Incentive Awards, Faculty Research Mentor, 2026; two competitive awards
- Faculty Research Initiative — Catalysts and Challenges of Intelligent Clinical Decision Support Systems, Principal Investigator, 2024
- Faculty Research Initiative — Understanding Physicians’ Perceptions of Artificial Intelligence in Digital Health, Principal Investigator, 2021
- Faculty Research Initiative — Understanding the Perceptions of Physicians and Healthcare Providers on IT Project Communication, Principal Investigator, 2019
- Behrens, A., Noteboom, C., & Brooks, P. (2026). Provider Perspectives on Sociotechnical Alignment of Intelligent Clinical Decision Support Systems. Information, 17(2), 191.
- Woldesenbet, A. K., & Behrens, A. (2026). EXAIM: Explainable AI middleware for real-time multi-agent clinical decision support. IEEE International Conference on Healthcare Informatics.
- Behrens, A., Liu, J., & Noteboom, C. B. (2022). A Design Theory for Intelligent Clinical Decision Support. AMCIS 2022 Proceedings.
- 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.
- 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).
- Explainable Artificial Intelligence Design Theory for Clinical Decision Support Systems, Western Decision Sciences Institute Annual Conference, 2026
- AI-Powered Analytics in Health Information Management: Applications and Decision-Making, South Dakota Health Information Management Association, 2026
- Hope Over Hype: AI, Healthcare, and the Future, Sanford Health, 2026
- EXAID: Explainable AI Middleware for Clinical Decision Support Systems, Dakota State University, 2026
- Provider Perspectives on Sociotechnical Alignment in Intelligent Clinical Decision Support Systems, DSU Research Week, 2025
- A Research Agenda for Intelligent Clinical Decision Support Systems, SDSU Data Science Symposium, 2025
- Artificial Intelligence in Teaching and Learning, Dakota State University, 2025