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, difference of 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 | Proceeding of the biennial European Conference on Artificial Intelligence (ECAI) 2006 Workshop |
| Subtitle of host publication | AI techniques in healthcare: computerized guidelines and protocols |
| Pages | 57-61 |
| State | Published - 2006 |
Fingerprint
Dive into the research topics of 'Adaptation of practice guidelines for clinical decision support: A case study of diabetic foot care'. Together they form a unique fingerprint.Related research output
- 1 Chapter
-
Lessons learned from adapting a generic narrative diabetic-foot guideline to an institutional decision-support system
Peleg, M., Wang, D., Fodor, A., Keren, S. & Karnieli, E., 2008, Computer-based Medical Guidelines and Protocols: A Primer and Current Trends. IOS Press, p. 243-252 10 p. (Studies in Health Technology and Informatics; vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver