A Thesis Submitted to the Faculty of Indiana University by Nikeshbhai Patel in Partial Fulfillment of the Requirements for the Degree of Master of Science, August 2005 / Medical health partners use heterogeneous data formats, legacy software and strictly licensed vocabularies which make it hard to integrate their data and work. Integration of services and data are the two main necessities. The current architecture used provides partial solution by providing one-to-one mapping wrappers. This thesis provides discussion on difficulties encountered by the coexistence of so many medical vocabularies and efforts to provide interoperation. Also other problems are listed which hinders the interoperation between health partners. Solution is proposed for some of these problems by forming semantic network based on multi-agent technology. Service composition and integration stages are shown to develop future advance health services. Middle layer is implemented which performs integration and provides common platform for sharing information, using global ontology and local domain ontology. Inferencebased matchmaking algorithm proposed in this thesis helps in mapping and achieving our goal. Six different filtering techniques are selected and used in matchmaking algorithm. Analysis of these filtering techniques is provided to understand the integration process. In the ending section an abstract idea is proposed on basis of network architecture and matchmaking algorithm to develop Open Terminological System.

The Legal Foundation crosses into medical treatment service industry gradually in recent years, even become to be the situation that the bigger the stronger and forming the trend of medical-network. However, the medical treatment resource close to saturation, and the National Health Insurance Bureau¡¦s (NHIB) finance gradually are tightened, the medical treatment service industry faces a high competition, those tough situations force manager ¡¥s contingency ability, manage mechanism, execution and strategy performance. One way that encouraged citizens¡¦ cure will is doing serving innovation for the hospitals and clinics. This study discusses critical success factors in medical-network Service Innovation System, we adopted case study and chosen one of medical-network which is reputed by it good management to analyze. Through conducing depth interview with executive, top managers and Chinese medicine industry expert, we used Rob Bilderbeek and Pim Den Hertog¡¦s Service Innovation System as this study¡¦s foundation, then used Grounded Theory (GT) to carry on data analysis; besides, we also reviewed related substantial evidence and theories to look for a key factor and element which affect the Critical Success Factors in medical-network Service Innovation System. From our study, we found the Critical Success Factors in medical-network Service Innovation System is: For the construction surface of ¡§ New service concept¡¨ is to establish the membership, build the innate brand commodity, multiple serves and enterprise management pattern. For the construction surface of ¡§the new service concept¡¨ is customer relationship management, commercial promotion. For the construction surface of ¡§the new service transmission system¡¨ is to improve the hardware system, customer participation and using the social group website. For the construction surface of ¡§the new technical option¡¨ is using medical auxiliary apparatus and building POS system. We hope above findings could provide reference related to the medical chain system service innovation for the future research.