Creditworthiness-based Service Differentiation Strategy for Health Data Bank

Abstract Health Data Bank (HDB) as a type of health data service institution has become a promising third-party for mining the value behind the huge amounts of health data and providing valuable health data service to ordinary people. The customers’ continuous contribution behavior is the key element of HDB’s success and sustainable development. In this paper, we consider creditworthiness value as a measurement of a customer’s contribution behavior. The customers’ creditworthiness value is computed based on both the Authentic Behavior and Honest Behavior. Then, we propose a scheme Creditworthiness-based Service Differentiation (CBSD), in which the creditworthiness value is used as the guideline for differential service. The proposed scheme provides the right incentives for the customers to share their valid and authentic personal health data. And the simulation results confirm the ability of the proposed scheme to effectively reduce the health data service level provided to the customers with low creditworthiness value. On the other hand, good customers have a high probability of receiving better service. The shortcomings of the proposed scheme and the future work are concluded at the end of the paper.