Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
12-2019
Abstract
Physician altruism is not only a key foundation of modern medical professionalism, but also a critical component in the theoretical health economics study. There is considerable interest in understanding the impacts of contemporary healthcare technology on physician altruism. In this paper, we investigate the dynamic influence of multiple incentive mechanisms developed by an online healthcare community (OHC) on physician altruism. We model physician altruism as the degree of tendency to benefit the patients at the cost of oneself and focus on the incentive mechanisms that give physicians social and economic returns. The dynamics of physician altruism is characterized via a Hidden Markov Model (HMM) that allows the effects of incentive mechanisms to change across individuals and over time. Our findings are among the initial efforts to understanding the nature of physician altruism and the mechanism through which it can be influenced. Implications for community owners and policy makers are discussed.
Keywords
Physician Altruism, Online Healthcare Community, Hidden Markov Model
Discipline
Databases and Information Systems | Medical Sciences
Research Areas
Information Systems and Management
Publication
ICIS 2019: Proceedings of the 40th International Conference on Information Systems, Munich, Germany, December 15-17
First Page
1
Last Page
9
Publisher
AIS
City or Country
Illinois
Citation
LUO, Kai; WANG, Qiu-hong; and TEO, Hock Hai.
The dynamic impacts of online healthcare community on physician altruism: A Hidden Markov Model. (2019). ICIS 2019: Proceedings of the 40th International Conference on Information Systems, Munich, Germany, December 15-17. 1-9.
Available at: https://ink.library.smu.edu.sg/sis_research/4689
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.