| contents
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This workshop was organised
by Cancer Research UK and sponsored by OpenClinical.
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| Preamble, aims and scope |
In March 2000, the
InterMed Project
(Harvard Medical School, McGill University, Stanford University School of Medicine) and the
American College of Physicians - American Society of Internal Medicine
hosted an invited workshop in Boston
entitled Towards a Shareable Guideline Representation.
Main goals of this meeting were:
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To bring together different stakeholders
intereted in the development,
dissemination and use of clinical practice
guidelines;
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To discuss the development of a standard robust, shareable guideline representation model.
The Boston workshop also
highlighted the number and variety of efforts underway in the modelling of clinical processes and contributed to
the establishment of an international community of researchers with a shared interest in
formalising medical knowledge for use in computer-based decision support and guideline systems.
During 2001, a team led by Stanford University initiated a comparative study of six different approaches to
guideline modelling (Asbru, EON, GLIF,
GUIDE, PRODIGY and PROforma).
Each method development group was invited to model two published
guidelines and to submit the results to the study team for analysis.
Mor Peleg (then at Stanford, now at Haifa University, Israel) took the lead role
in preparing a consensus overview of the different methods, identifying common and
contrasting features of the methods in a non-evaluative way. The study was published by JAMIA in January 2002.
This OpenClinical workshop, held in London in September 2001 allowed a large number of OpenClinical members to learn
about the guideline representation methods under discussion. It also
enabled the development groups to present
updates on their work and discuss an interim report on the results of the comparative study.
OpenClinical has published material not included in the final paper.
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Abstracts
and Presentations |
| Asbru |
Silvia Miksch
Department of Computer Science, Vienna University of Technology
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| Asbru tools
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Yuval Shahar
Department of Information Systems Engineering,
Ben-Gurion University of the
Negev, Beer-Sheva, Israel
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| EON |
Samson Tu
Stanford Medical Informatics, Stanford University School of Medicine |
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| GLIF |
Mor Peleg
Stanford Medical Informatics, Stanford University School of Medicine (now Haifa Unviersity)
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| GUIDE |
Silvana Quaglini
Medical Informatics Laboratory, University of Pavia, Italy |
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| PRODIGY |
Neill Jones
the Sowerby Centre for Health Informatics at Newcastle (SCHIN),
(then a Newcastle University research centre) |
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| PROforma |
John Fox
Advanced Computation Laboratory, Cancer Research UK, London
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| reference |
Peleg M, Tu S, Bury J, Ciccarese
P, Fox J, Greenes RA, Hall R, Johnson PD, Jones N, Kumar A,
Miksch S, Quaglini S, Seyfang A, Shortliffe EH, Stefanelli
M. Comparing computer-interpretable guideline models:
a case-study approach. J Am Med Inform Assoc. 2003
Jan-Feb;10(1):52-68.
[PubMed]
[PubMed
Central]
[OpenClinical - unpublished material]
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"
OBJECTIVES: Many groups are developing computer-interpretable clinical guidelines (CIGs) for use during clinical encounters. CIGs use "Task-Network Models" for representation but differ in their approaches to addressing particular modeling challenges. We have studied similarities and differences between CIGs in order to identify issues that must be resolved before a consensus on a set of common components can be developed. DESIGN: We compared six models: Asbru, EON, GLIF, GUIDE, PRODIGY, and PROforma. Collaborators from groups that created these models represented, in their own formalisms, portions of two guidelines: the American College of Physicians-American Society of Internal Medicine's guideline for managing chronic cough and the Sixth Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. MEASUREMENTS: We compared the models according to eight components that capture the structure of CIGs. The components enable modelers to encode guidelines as plans that organize decision and action tasks in networks. They also enable the encoded guidelines to be linked with patient data-a key requirement for enabling patient-specific decision support. RESULTS: We found consensus on many components, including plan organization, expression language, conceptual medical record model, medical concept model, and data abstractions. Differences were most apparent in underlying decision models, goal representation, use of scenarios, and structured medical actions. CONCLUSION: We identified guideline components that the CIG community could adopt as standards. Some of the participants are pursuing standardization of these components under the auspices of HL7.
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| Links:
Related work |
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Previous related meetings
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Subsequent related meetings
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| links |
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| acknowledgements |
| Silvia Miksch, Yuval Shahar, Samson Tu, Mor Peleg, Silvana Quaglini, Neill Jones, John Fox |
| page history |
Entry on OpenClinical: 2001
Redesigned and last main update: 17 April 2005 |
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