Open-source publishing of medical knowledge for creation of computer-interpretable guidelines

Mor Peleg, Rory Steele, Richard Thomson, Vivek Patkar, Tony Rose, John Fox

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Guidelines, care pathways, and other representations of high quality clinical practice can now be formalized and distributed in executable form. It is widely recognized that the ability to apply knowledge at the point of care creates an opportunity to influence clinicians' behavior, encouraging compliance with evidence-based standards and improving care quality. The ability to share formal knowledge may also enable the medical community to build on work done by others and reduce content development costs. We propose a Medical Knowledge Repository and content model that supports assembly of components into new applications. Some types of resources that may be included in such a repository are defined, and a frame-based representation for indexing and structuring the components is described. The domain of breast cancer is used as a case study for demonstrating the feasibility of the approach.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine - 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Proceedings
PublisherSpringer Verlag
Pages156-160
Number of pages5
ISBN (Print)3540278311, 9783540278313
DOIs
StatePublished - 2005
Event10th Conference on Artificial Intelligence in Medicine, AIME 2005 - Aberdeen, United Kingdom
Duration: 23 Jul 200527 Jul 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3581 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Conference on Artificial Intelligence in Medicine, AIME 2005
Country/TerritoryUnited Kingdom
CityAberdeen
Period23/07/0527/07/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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