Comparing Computer-interpretable Guideline Models: A Case-study Approach

Peleg, Mor; Tu, Samson W.; Bury, Jonathan; Ciccarese, Paolo; Fox, John; Greenes, Robert A.; Hall, Richard; Johnson, Peter D.; Jones, Neill; Kumar, Anand; Miksch, Silvia; Quaglini, Silvana; Seyfang, Andreas; Shortliffe, Edward H.; Stefanelli, Mario

doi:10.1197/jamia.m1135

Cited by 384 publications

(248 citation statements)

References 15 publications

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“…Significant contributions in these areas include a variety of languages for the representation of guidelines (see [2], [3] for a review). Recently the focus of attention is shifting from the representation of guidelines to the integration of guideline systems in realistic healthcare settings [4].…”

Section: Introductionmentioning

confidence: 99%

An Archetype-Based Solution for the Interoperability of Computerised Guidelines and Electronic Health Records

Marcos

Maldonado

Martínez-Salvador

et al. 2011

Artificial Intelligence in Medicine

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Abstract. Clinical guidelines contain recommendations based on the best empirical evidence available at the moment. There is a wide consensus about the benefits of guidelines and about the fact that they should be deployed through clinical information systems, making them available during consultation time. However, one of the main obstacles to this integration is still the interaction with the electronic health record. In this paper we present an archetype-based approach to solve the interoperability problems of guideline systems, as well as to enable guideline sharing. We also describe the knowledge requirements for the development of archetype-enabled guideline systems, and then focus on the development of appropriate guideline archetypes and on the connection of these archetypes to the target electronic health record.

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Section: Introductionmentioning

confidence: 99%

An Archetype-Based Solution for the Interoperability of Computerised Guidelines and Electronic Health Records

Marcos

Maldonado

Martínez-Salvador

et al. 2011

Artificial Intelligence in Medicine

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“…CPGs are published as textual guidelines, but in order to deploy them in some kind of computerized tool (e.g., a reminder system or a more complex decisionsupport system) they have to be represented in specialized languages (see [15,7] for a comparison and overview). Although different authoring/editing tools are often associated with these languages, authoring is a labor-intensive task that requires comprehensive knowledge in medical as well as computer science.…”

Section: Introductionmentioning

confidence: 99%

Identifying Condition-Action Sentences Using a Heuristic-Based Information Extraction Method

Wenzina

Kaiser

2013

Lecture Notes in Computer Science

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Abstract. Translating clinical practice guidelines into a computer-interpretable format is a challenging and laborious task. In this project we focus on supporting the early steps of the modeling process by automatically identifying conditional activities in guideline documents in order to model them automatically in further consequence. Therefore, we developed a rule-based, heuristic method that combines domain-independent information extraction rules and semantic pattern rules. The classification also uses a weighting coefficient to verify the relevance of the sentence in the context of other information aspects, such as effects, intentions, etc. Our evaluation results show that even with a small set of training data, we achieved a recall of 75 % and a precision of 88 %. This outcome shows that this method supports the modeling task and eases the translation of CPGs into a semi-formal model.

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“…A comparison of Asbru, EON, GLIF, Guide, PROforma, PRODIGY can be found in [10]. The recent book by Ten Teije [21] represents a consensus of a large part of the computer-oriented CPG community.…”

Section: Computer Interpretable Guidelinesmentioning

confidence: 99%

Supporting Physicians and Patients Through Recommendation: Guidelines and Beyond

Anselma

Bottrighi

Hommersom

et al. 2015

Foundations of Biomedical Knowledge Representation

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Comparing Computer-interpretable Guideline Models: A Case-study Approach

Abstract: 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.

Cited by 384 publications

References 15 publications

An Archetype-Based Solution for the Interoperability of Computerised Guidelines and Electronic Health Records

An Archetype-Based Solution for the Interoperability of Computerised Guidelines and Electronic Health Records

Identifying Condition-Action Sentences Using a Heuristic-Based Information Extraction Method

Supporting Physicians and Patients Through Recommendation: Guidelines and Beyond

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