An Extensible Framework for Sharing Clinical Guidelines and Services

• Published in: The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2; pp. 3155 - 3158
• Main Authors: Fei Xiong, Kefei Cao, Zhifeng Wang, Ford, J., Makedon, F.S., Pearlman, J.D.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2004
• Subjects: Analytical Service Sharing; Biomedical imaging; Buildings; Clinical Guideline Sharing; Collaboration; Computer architecture; Grid Architecture; Guidelines; Medical services; Service oriented architecture; Standards organizations; Terminology; Web services
• ISBN: 0780384393; 9780780384392
• DOI: 10.1109/IEMBS.2004.1403890

Accurate and descriptive information from clinical studies guides improvements in health care. Clinical guidelines established by authoritative medical organizations provide such information in a standard form for medical professionals' reference. Previous work on electronically sharing clinical guidelines focuses on the idea of building unified clinical terminologies and sharing resources through centralized data repositories. In this paper we propose a novel five-layer framework called the Extensible Clinical Guidelines and Services Sharing Architecture (ECGSSA). This framework provides for clinical guideline sharing among autonomous service providers over a distributed architecture. Requests for exchange of guidelines are disseminated through Web Services through a registry mechanism. Currently we have adopted the Guideline Interchange Format (GLIF) from InterMed as the representation format and use the Open Grid Services Architecture (OGSA) to attain virtual organization of shared guideline and service resources. This approach will allow more flexibility for medical professionals to exchange their practice guidelines in an effort to improve quality of health care. Also, it extends the possibility of solving clinic-related computational problems through collaborative sharing of analytical services. A sample scenario is presented to explain the application of ECGSSA in distributed task assignment and service matching in medical image processing.