Literature DB >> 11604714

Achieving reuse of computable guideline systems.

P Johnson1, S Tu, N Jones.   

Abstract

We describe an architecture for reusing computable guidelines and the programs used to interpret them across varied legacy clinical systems. Developed for the PRODIGY 3 project, our architecture aims to support interactive, point of care use of guidelines in primary care. Legacy medical record systems in UK primary care are diverse, using different terminologies, different data models, and varying user-interface philosophies. However, our goal is to provide common guideline knowledge bases and system components, while achieving full integration with the host medical record system, and a user interface tailored to that system. In conjunction with system suppliers, we identified areas of standardization required to achieve this goal. Firstly, standardized interfaces were created for mediation with the legacy system medical record and for act management. Secondly, a standard interface was developed for communication with the User Interface for guideline interaction. Thirdly, a terminology mapping knowledge base and system component was provided. Lastly, we developed a numeric unit conversion knowledge base and system component. The standardization of this architecture was achieved by close collaboration with existing vendors of Primary Care computing systems in the UK. The work has been verified by two suppliers successfully building and deploying systems with User Interfaces which mirror their normal look and feel, communicating fully with existing medical records, while using identical Guideline Interpreter components and knowledge bases. Encouragingly further experiments in other areas of clinical decision support have not required extension of our interfaces.

Mesh:

Year:  2001        PMID: 11604714

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Proposal for fulfilling strategic objectives of the U.S. Roadmap for national action on clinical decision support through a service-oriented architecture leveraging HL7 services.

Authors:  Kensaku Kawamoto; David F Lobach
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

2.  Clinical information system services and capabilities desired for scalable, standards-based, service-oriented decision support: consensus assessment of the Health Level 7 clinical decision support Work Group.

Authors:  Kensaku Kawamoto; Jason Jacobs; Brandon M Welch; Vojtech Huser; Marilyn D Paterno; Guilherme Del Fiol; David Shields; Howard R Strasberg; Peter J Haug; Zhijing Liu; Robert A Jenders; David W Rowed; Daryl Chertcoff; Karsten Fehre; Klaus-Peter Adlassnig; A Clayton Curtis
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

3.  Comparing computer-interpretable guideline models: a case-study approach.

Authors:  Mor Peleg; Samson Tu; Jonathan Bury; Paolo Ciccarese; John Fox; Robert A Greenes; Richard Hall; Peter D Johnson; Neill Jones; Anand Kumar; Silvia Miksch; Silvana Quaglini; Andreas Seyfang; Edward H Shortliffe; Mario Stefanelli
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.