College of Business
Florida International University
Modesto A. Maidique Campus
11200 S.W. 8th St, RB 204A
Miami, FL 33199
Phone: (305) 348-4201
Email: mchen2@fiu.edu
Min Chen
SunTrust Bank Professorship
Associate Professor, Department of Information Systems and Business Analytics
College of Business
Florida International University
Modesto A. Maidique Campus
11200 S.W. 8th St, RB 204A
Miami, FL 33199
Phone: (305) 348-4201
Email: mchen2@fiu.edu
Education
Ph.D. in Managerial Economics and Strategy
Northwestern University, Evanston, Illinois
Master of Public Policy
University of Chicago, Chicago, Illinois
Bachelor in Economics
Renmin University of China, Beijing, China
Areas of Expertise
- Artificial Intelligence
- Big Data Analytics
- Health IT and Policy
Professional Activities
Dr. Min Chen’s research examines information technology innovations, healthcare analytics, and issues relevant to the economics, organization, and regulation of the U.S. health care system. She uses large-scale datasets and state-of-the-art techniques to predict disease incidence, measure policy impact and examine innovations aiming to improve healthcare quality and reduce costs. Dr. Chen’s research has been published widely in high impact peer-reviewed journals across disciplines, recognized with competitive awards, and featured in media outlets.
Prior to joining FIU, Dr. Chen worked as an economic consultant at Charles River Associates and advised on antitrust issues in a range of industries (e.g., telecommunications, tobacco, hospitals, and pharmaceuticals). She combines her academic knowledge and practical experiences to develop both face-to-face and online MBA courses and all her online courses successfully achieved Quality Matters credentials. She received the best professor and best course awards from FIU's Healthcare MBA program and was invited to address various stakeholders about the challenges and opportunities facing the U.S. health care systems.
Selected Recent Media Coverage:
- NPR’s Academic Minute – August 8, 2023
Can an algorithm save your life? Listen Here
- Palm Beach Post – May 8, 2023 Article
- Fox News – April 21, 2023 Article A report described research from Florida International University, Carnegie Mellon University and Santa Clara University which showed that using machine learning methods and available data when patients enter the hospital, researchers have developed a model that predicts strokes with more accuracy than current models. The study's authors sought to develop a stroke-prediction algorithm and their model incorporated variables routinely collected by health care providers and payers.
- The Floridian – April 21, 2023 Article
- NBC 6 Miami - April 20, 2023 Watch It
- Sun Sentinel – April 19, 2023 Article
- Health IT Analytics - Apr 12, 2023 Article
- HospiMedica – April 11, 2023 Article
- Health Tech Hot Spot – April 4, 2023 Article
- eeNews Europe – April 4, 2023 Article
- Clinical Lab Products – April 3, 2023 Article
- Healthcare Information and Management Systems Society (HIMSS22) Women Leaders in Health IT Roundtable:
Segment 1 – Career Paths Watch It
Segment 2 – How to Become a Thought Leader Watch It
Segment 3 – Tech Trends Watch It
Courses Taught
- Business Statistics and Analysis I
- Clinical Information Systems
- Competitive Strategy
- Economic and Decision Analysis in Health Services
- Health Informatics/Analytics Practicum
- Health Policy and Economics
- Management of Healthcare Finance and Reimbursement
- Managerial Decision-Making in Health Economics
Publications
Sinha J., Chen M., Gomes P. J., & Weismann M. F.
(2024).
Integrating Generative AI Responsibly in Healthcare Management Education: A Supplemental Learning Tool (SLT) Framework.
Journal of Health Administration Education
.
Wang Z., Qiu M., Chen M., Salem M. B., Yao X., & Zhang W.
(2024).
Toward fair graph neural networks via real counterfactual samples.
Knowledge and Information Systems
.
Chen, M., & Esmaeil Zadeh, P.
(2023).
Adoption and use of various Health Information Exchange methods for sending inside health information in US hospitals.
International Journal of Medical Informatics
.
Chen, M., Tan, X., & Padman, R.
(2023).
A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study.
Journal of Medical Internet Research
.
Cousins, K. C., Hertelendy, A. J., Chen, M., Durneva, P., & Wang, S.
(2023).
Building Resilient Hospital Information Technology Services through Organizational Learning: Lessons in CIO Leadership During an International Systemic Crisis in the United States and Abu Dhabi, United Arab Emirates.
International Journal of Medical Informatics
.
Choi, S., Chen, M., & Tan, X.
(2023).
Assessing the Impact of Health Information Exchange on Hospital Data Breach Risk.
International Journal of Medical Informatics
.
Durneva, P., Karlene, C., & Chen, M.
(2020).
Blockchain Technology in Patient Care: Current State of Research, Challenges and Future Research Directions.
Journal of the Medical Internet Research
, 22(7)
.
- Chen, M., Tan, X., & Padman, R. (2020). Social Determinants of Health in Electronic Health Records and Their Impact on Analysis and Risk Prediction: A Systematic Review. Journal of the American Medical Informatics Association, 27(11).
- Chen, M., & Grabowski, D. C. (2019). Hospital Readmissions Reduction Program: Intended and Unintended Effects. Medical Care Research and Review, 76(5).
- Chen, M., Guo, S., & Tan, X. (2019). Does Health Information Exchange Improve Patient Outcomes? Empirical Evidence from Florida Hospitals. Health Affairs, 38(2).
- Chen, M. (2018). Reducing Excess Hospital Readmissions: Does Destination Matter? International Journal of Health Economics and Management, 18(1).
- Chen, M., Tremblay, M., & Lukyanenko, R. (2017). Information Quality Challenges in Shared Decision Making. ACM Journal of Data and Information Quality, 9(5).
- Chen, M. (2015). The Affordable Care Act and the Future of Physicians: The Opportunities and Challenges. Journal of Craniofacial Surgery, 26(8).
- Chen, M., & Grabowski, D. C. (2015). Intended and Unintended Consequences of Minimum Staffing Standards for Nursing Homes. Health Economics, 24(7).
- Sojourner, A., Frandsen, B., Town, R., Grabowski, D., & Chen, M. (2015). Impacts of Unionization on Quality and Productivity: Regression Discontinuity Evidence from Nursing Homes. Industrial and Labor Relations Review, 68(4).
- Chen, M., & Serfes, K. (2012). Minimum Quality Standard Regulation under Imperfect Quality Observability. Journal of Regulatory Economics, 41(2).
- Sojourner, A. J., Grabowski, D. C., Chen, M., & Town, R. J. (2011). Trends in unionization of nursing homes. Inquiry: The Journal of Health Care Organization, Provision, and Financing, 47(4).
Books
Miller H., Chen M., Benson M., Lane S., Moen M., Rahman F., Scherpbier H., Havasy R., & Bell S.
(2024).
<span style="font-size:12pt;">Understanding National Interoperability Frameworks and Networks</span>.
Healthcare Information and Management Systems Society
.