Rationale for the Arden Syntax

Hripcsak, George; Ludemann, Peter; Pryor, T. Allan; Wigertz, Ove; Clayton, Paul D.

doi:10.1006/cbmr.1994.1023

Cited by 204 publications

(94 citation statements)

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“…Since the seminal work on the Arden syntax [9], different authors have sought the integration of EHR systems with decision support systems in general and with guideline systems in particular. The KDOM framework [10] and the MEIDA architecture [11] are remarkable examples of recent work dealing with this problem using standards.…”

Section: Approachmentioning

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: Approachmentioning

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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“…The heart of computational processing are procedural scenarios systematically conditioned by expected history of treatment, as a sort of compromise between compact ('flowchart') procedural modelling of e.g. GLIF [3] and stand-alone Medical Logic Modules (MLMs) [13]. The model has, in each of the levels of formalisation, a different shape: the elements evolve from free-text containers through thoroughly marked-up text into an XML knowledge base and, finally, into the computational representation (see [14] for details).…”

Section: Universal Knowledge Basementioning

confidence: 99%

Step-by-step mark-up of medical guideline documents

Svátek

Růžička

2003

International Journal of Medical Informatics

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Summary.Approaches to formalisation of medical guidelines can be divided into model-centric and document-centric. While model-centric approaches dominate in the development of clinical decision support applications, document-centric, mark-up-based formalisation is suitable for application tasks requiring the 'literal' content of the document to be transferred into the formal model. Examples of such tasks are logical verification of the document or compliance analysis of health records.The quality and efficiency of document-centric formalisation can be improved using a decomposition of the whole process into several explicit steps. We present a methodology and software tool supporting the step-by-step formalisation process. The knowledge elements can be marked up in the source text, refined to a tree structure with increasing level of detail, rearranged into an XML knowledge base, and, finally, exported into the operational representation. User-definable transformation rules enable to automate a large part of the process.The approach is being tested in the domain of cardiology. For parts of the WHO/ISH Guidelines for Hypertension, the process has been carried out through all the stages, to the form of executable application, generated automatically from the XML knowledge base.

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“…A group of investigators, working through the American Society for Testing and Materials (ASTM), has defined a standard procedural language, known as the Arden syntax (Hripcsak et al 1994). The Arden syntax encodes situation-action rules.…”

Section: Rgholqj /Dqjxdjhvmentioning

confidence: 99%

Time-oriented skeletal plans: Support to design and execution

Miksch

Shaḥar

Horn

et al. 1997

Recent Advances in AI Planning

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$EVWUDFW Skeletal plans are a powerful way to reuse existing domain-specific procedural knowledge. In the $VJDDUG project, a set of tasks that support the design and the execution of skeletal plans by a human executing agent other than the original plan designer are designed. The underlying requirement to develop task-specific problem-solving methods is a PRGHOLQJ ODQJXDJe. Therefore, within the Asgaard project, a time-oriented, intention-based language, called $VEUX, was developed. During the design phase of plans, Asbru allows to express durative actions and plans caused by durative states of an observed agent. The intentions underlying these plans are represented explicitly as temporal patterns to be maintained, achieved or avoided. We will present the underlying idea of the Asgaard project and explain the time-oriented Asbru language. Finally, we show the benefits and limitations of the time-oriented, skeletal plan representation to be applicable in real-world, high-frequency domains. 0RWLYDWLRQ DQG ,QWURGXFWLRQWe are motivated by the need for knowledge-based support in the medical domain. Health care providers are faced with two problems: (1) the information overload resulting from modern equipment, and (2) improving the quality of health care through increased awareness of proper disease management techniques. &OLQLFDO SURWRFROV and JXLGHOLQHV should solve the difficulties. Clinical guideline refers to a general principle by which a course of actions is determined and clinical protocol refers to a general class of therapeutic interventions. In the following, we will use clinical guideline and protocol interchangeable.Appropriate clinical protocols are only available for a very limited class of clinical problems. They are not adjusted to the patient data-management system, they are partly vague and incomplete concerning their intentions and their temporal and context-dependent representation, and most often they are outdated after being developed. Extracting and formulating the knowledge structure for clinical protocols is a non trivial task. The context implicit in the protocols must be made explicit.

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Rationale for the Arden Syntax

Cited by 204 publications

References 0 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

Step-by-step mark-up of medical guideline documents

Time-oriented skeletal plans: Support to design and execution

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