Research Highlights
Health information technology (health IT) involves the exchange of health information in an electronic environment. Widespread use of health IT within the health care industry will improve the quality of health care, prevent medical errors, reduce health care costs, increase administrative efficiencies, decrease paperwork, and expand access to affordable health care.
We have conducted research projects on developing gamification-based online communities to support cancer survivors (funded by NIH), analyzing social media and physicians’ notes to discover medical knowledge (e.g., adverse drug side effects), and investigating patient compliance behavior.
Selected Publications
Zhang, D, J. Lim, L. Zhou, and A. Dahl (2021), Breaking the Data Value-Privacy Paradox in Mobile Mental Health Systems: Toward User-Centered Privacy Protection, JMIR Mental Health, 8(12), December, doi:10.2196/31633.
Chen, S., L. Zhou, Y. Song, Q. Xu, P. Wang, K. Wang, Y. Ge, and D. Janies (2021), A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis, Journal of Medical Internet Research, 23(1), January, e24889.
Alasmari, A. and L. Zhou (2021), Share to Seek: The Effects of Disease Complexity on Health Information Seeking Behavior, Journal of Medical Internet Research, 23(3), 10.2196/21642.
Wang, P., L. Zhou, D. Mu, D. Zhang, and Q. Shao (2020), What Makes Clinical Documents Helpful and Engaging? An Empirical Investigation of Experience Sharing in an Online Medical Community, International Journal of Medical Informatics, 143, Nov.
Shan, J., L. Zhou, and D. Zhang (2020), What Reveals About Depression Level? The Role of Multimodal Features at the Level of Interview Questions, Information & Management, 57 (7), Nov.
Zhang, D., L. Zhou, and Jaewan Lim (2020) From Networking to Mitigation: The Role of Social Media and Analytics in Combating the COVID-19 Pandemic, Information Systems Management, 37:4, 318-326, DOI: 10.1080/10580530.2020.1820635
Alasmari, A. and L. Zhou (2019). How multimorbid health information consumers interact in an online community Q&A platform, International Journal of Medical Informatics, November, 131. 10.1016/j.ijmedinf.2019.103958.
Zhou, Y., Zhang, Y., Zhang, D., and Song, W. (2019). Improving Stroke Risk Detection Using a Hybrid Feature Selection Method. Journal of Medical Internet Research (JMIR). Accepted on Jan. 26, 2019. READ
Wang, Y., Xue, H., Huang, Y., Huang, L., Zhang, D. (2017). A Systematic Review of Application and Effectiveness of mHealth Interventions for Obesity and Diabetes Treatment and Self-Management. Advances in Nutrition. 8(3):449-462. READ
Wu, D., Lowry, P., Zhang, D. (2015). Patient Compliance Behavior in a Mobile Healthcare System: An Integration of Theories of Rational Choice and Planned Behavior. Hawaii International Conference on Systems Sciences (HICSS 2015). January 5-8, 2015. Hawaii. READ
Lowry, P., Zhang, D., and Wu, Dezhi (2014). Understanding Patients’ Compliance Behavior in a Mobile Healthcare System: The Role of Trust and Planned Behavior. International Conference on Information Systems (ICIS 2014). Dec. 14-17, 2014. Auckland, New Zealand. READ