Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system

Mor Peleg; Dongwen Wang; Adriana Fodor; Sagi Keren; Eddy Karnieli

doi:10.3233/978-1-58603-873-1-243

Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system

Mor Peleg, Dongwen Wang, Adriana Fodor, Sagi Keren, Eddy Karnieli

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Clinical guidelines usually need to be adapted to fit local practice before they can be actually used by clinicians. Reasons for adaptation include variations of institution setting such as type of practice and location, availability of resources, differences in patient populations, local policies, and practice patterns. When a guideline is implemented for clinical decision support and integrated with an institution's clinical information system, the data model of the local electronic medical record (EMR) and the data actually collected and stored in it also influence the guideline's adaptation. The purpose of this work is: (1) to characterize a tool-supported process for guideline encoding that addresses local adaptation and EMR integration, and (2) to identify the types of changes in guideline encoding during the local adaptation process.

Original language	English
Title of host publication	Computer-based Medical Guidelines and Protocols
Subtitle of host publication	A Primer and Current Trends
Publisher	IOS Press
Pages	243-252
Number of pages	10
ISBN (Print)	9781586038731
DOIs	https://doi.org/10.3233/978-1-58603-873-1-243
State	Published - 2008

Publication series

Name	Studies in Health Technology and Informatics
Volume	139
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Keywords

Clinical guidelines
Computer-interpretable guidelines
EMR integration
GLIF3
Local adaptation

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-58603-873-1-243

Cite this

Peleg, M., Wang, D., Fodor, A., Keren, S., & Karnieli, E. (2008). Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system. In Computer-based Medical Guidelines and Protocols: A Primer and Current Trends (pp. 243-252). (Studies in Health Technology and Informatics; Vol. 139). IOS Press. https://doi.org/10.3233/978-1-58603-873-1-243

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title = "Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system",

abstract = "Clinical guidelines usually need to be adapted to fit local practice before they can be actually used by clinicians. Reasons for adaptation include variations of institution setting such as type of practice and location, availability of resources, differences in patient populations, local policies, and practice patterns. When a guideline is implemented for clinical decision support and integrated with an institution's clinical information system, the data model of the local electronic medical record (EMR) and the data actually collected and stored in it also influence the guideline's adaptation. The purpose of this work is: (1) to characterize a tool-supported process for guideline encoding that addresses local adaptation and EMR integration, and (2) to identify the types of changes in guideline encoding during the local adaptation process.",

keywords = "Clinical guidelines, Computer-interpretable guidelines, EMR integration, GLIF3, Local adaptation",

author = "Mor Peleg and Dongwen Wang and Adriana Fodor and Sagi Keren and Eddy Karnieli",

year = "2008",

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language = "English",

isbn = "9781586038731",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

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Peleg, M, Wang, D, Fodor, A, Keren, S & Karnieli, E 2008, Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system. in Computer-based Medical Guidelines and Protocols: A Primer and Current Trends. Studies in Health Technology and Informatics, vol. 139, IOS Press, pp. 243-252. https://doi.org/10.3233/978-1-58603-873-1-243

Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system. / Peleg, Mor; Wang, Dongwen; Fodor, Adriana et al.
Computer-based Medical Guidelines and Protocols: A Primer and Current Trends. IOS Press, 2008. p. 243-252 (Studies in Health Technology and Informatics; Vol. 139).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AB - Clinical guidelines usually need to be adapted to fit local practice before they can be actually used by clinicians. Reasons for adaptation include variations of institution setting such as type of practice and location, availability of resources, differences in patient populations, local policies, and practice patterns. When a guideline is implemented for clinical decision support and integrated with an institution's clinical information system, the data model of the local electronic medical record (EMR) and the data actually collected and stored in it also influence the guideline's adaptation. The purpose of this work is: (1) to characterize a tool-supported process for guideline encoding that addresses local adaptation and EMR integration, and (2) to identify the types of changes in guideline encoding during the local adaptation process.

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KW - Computer-interpretable guidelines

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Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Adaptation of practice guidelines for clinical decision support: A case study of diabetic foot care

Cite this

Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Related research output

Adaptation of practice guidelines for clinical decision support: A case study of diabetic foot care

Cite this