Fixed-Subsidy or Revenue-Sharing: Optimal Incentive Considering Consumer Heterogeneity in Healthcare Data Transaction

• Published in: Proceedings of ... IEEE International Conference on Service Operations and Logistics, and Informatics pp. 1 - 6
• Main Authors: Wei, Dongle, Gao, Pan, Zhai, Yunkai
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.06.2024
• Subjects: Competition in healthcare; Consumer heterogeneity; Data models; General Data Protection Regulation; Healthcare data transaction; Incentive; Informatics; Insurance; Investment; Logistics; Medical services; Optimization; Protection; Public healthcare
• ISSN: 2768-1890
• DOI: 10.1109/SOLI63266.2024.10956042

Applying healthcare data can optimize healthcare services and improve public health management. Data transaction accelerates the flow of healthcare data and facilitates its application. In healthcare data transaction, data brokers take incentives to collect healthcare data from the public and sell the data to healthcare providers. However, choosing the optimal incentives becomes a challenge for data brokers. Meanwhile, how healthcare providers apply healthcare data is critical considering the heterogeneity of consumers. To address these challenges, we study a game-theoretic model with a data broker, two healthcare providers offering homogeneous services, and the public. Our study examines healthcare data transaction under different incentives that data broker adopts for the public (i.e., fixed-subsidy model and revenue-sharing model). Meanwhile, we consider the impact of consumer heterogeneity on healthcare providers. We then analyzed the optimal decisions of each subject. We also compare the benefits of each subject under different incentives. The research findings suggest that revenue-sharing between the public and data broker enhances social welfare optimization. Healthcare providers prefer fixed-subsidy model for low-value data, and revenue-sharing model for high-value data. Data broker has the opposite preference. Besides, an increase in the scale of strategic consumers can benefit healthcare providers and data broker to a certain extent, but beyond a certain point, it can harm public utility. Lower scale of strategic consumers can stimulate healthcare providers' healthcare data application.