Akshat Kapoor, Ph.D., is an assistant professor in the Department of Health Services and Information Management at East Carolina University. He received his BIS in Information Systems from New Delhi, India, MS in Bioinformatics from Marquette University and PhD from University of Wisconsin-Milwaukee. His research focuses on improving patient engagement via use of innovative technologies, such as apps, social media and interactive educational resources, to aid patients in the self-management of their medical conditions. His research emphasizes how healthcare organizations can innovate and effectively engage patients and communities in playing an active role in their own health.
Health informatics research and evaluation methods
Kapoor, A. & Nazareth, L. (2013). Medical Data Breaches: What the Reported Data Illustrates, and Implications for Transitioning to Electronic Medical Records. Journal of Applied Security Research, 8(1), 61-79.
Kapoor, A., Nambisan, P. (2016). Self-management apps for breast cancer survivors: Applying clinical terminology standards for personal decision support. American Medical Informatics Association (AMIA) Annual Symposium 144th Annual Meeting, Chicago, IL.
Kapoor, A., Nambisan, P. (2016). Staying up late and gaining weight: Challenges and considerations for weight management among breast cancer survivors, portrayed on Twitter. American Public Health Association (APHA) APHA 144th Annual Meeting, Denver, CO.
Kapoor, A., Nambisan, P. (2016). Implementing clinical guidelines: An online breast cancer survivorship tool for education and knowledge representation. IEEE International Conference on Biomedical and Health Informatics (BHI), Las Vegas, NV.
Kapoor, A. & Nambisan, P. (2015). aceso (After Cancer Education and Support Operations): a clinical decision support system approach for engaging breast cancer survivors. American Medical Informatics Association (AMIA) Annual Symposium 2015, San Francisco, CA.
Nambisan, P., Luo, X., Kapoor, A., Patrick, T., & Cisler, R. (2015). Social Media, Big Data and Public Health informatics: Ruminating behavior of depression revealed through Twitter. Proceedings of the HICSS -48 (Hawaii International Conference on System Sciences) conference, Kauai, HI.
Nambisan, P., Luo, X., Kapoor, A. (2014). Social Media and Big Data: Can tweet moods predict illness and hospital visits in a region? APHA conference 141st Annual Meeting, New Orleans, LA.
ACESO (After Cancer Education and Self Operations): A self-management tool for breast cancer survivors