Service Regulation Analysis Framework for Service Design Time: A Case Study of Internet Healthcare Service

• Published in: IEEE transactions on services computing Vol. 17; no. 5; pp. 2876 - 2889
• Main Authors: Chen, Jintao, Pang, Shengye, Xi, Meng, Zhao, Tiancheng, Deng, Shuiguang, Yin, Jianwei
• Format: Journal Article
• Language: English
• Published: IEEE 01.09.2024
• Subjects: Data models; Industries; Internet; Medical diagnostic imaging; Medical services; Modern service industry; Regulation; regulation model; Regulators; service regulation; violation recognition
• ISSN: 1939-1374; 2372-0204
• DOI: 10.1109/TSC.2024.3451171

Innovation and prosperity of the Modern Service Industry bring convenience and efficiency to our society. However, the service governance capability lags behind the development of the industry, causing problems such as service violations and poor service quality. Existing works towards service regulation for service design time such as business process compliance checking are restricted to certain types of rules. When services or policies undergo evolution, rapid iteration becomes challenging. Motivated by this, we propose a service regulation analysis framework for service design time. It includes three phases: the service regulation modeling phase, which realizes modeling of regulation requirements; the service violation recognition phase, proposing an automatic detection algorithm based on process semantics; and the violation trace-back phase, which supports rapid localization of violations. Based on previous work, we construct the Enhanced-LPD4VR, a dataset with a broader range of processes and more nuanced annotations. Furthermore, we introduce an Internet healthcare service case study that illustrates the effectiveness of our framework through comparative experiments.