Related Experiment Videos
Detailed clinical models for sharable, executable guidelines
Craig G Parker1, Roberto A Rocha, James R Campbell
1Intermountain Health Care, 4646 W. Lake Park Boulevard, Salt Lake City, UT 84120, USA. craig.parker@ihc.com
Studies in Health Technology and Informatics
|September 14, 2004
Summary
Creating shareable clinical guidelines requires precise data representation. Detailed clinical models are essential for semantic clarity and manageable mapping, going beyond standard terminologies and information models.
Area of Science:
- Health Informatics
- Clinical Decision Support
Background:
- Shareable and executable clinical guidelines are a significant goal in healthcare.
- Representing clinical information precisely and shareably is a major challenge.
Purpose of the Study:
- To discuss the challenges in representing clinical information for shareable guidelines.
- To highlight the necessity of detailed clinical models beyond standard terminologies and information models.
- To share experiences from the SAGE project regarding detailed clinical models.
Main Methods:
- Discussion of experiences within the SAGE project.
- Analysis of the limitations of standard terminologies and information models (e.g., HL7 RIM).
Main Results:
- Standard terminologies and common information models are insufficient for precise clinical information representation.
- Detailed clinical models are crucial for semantic precision.
- Detailed clinical models facilitate manageable mapping between different models.
Conclusions:
- Achieving shareable, executable clinical guidelines necessitates advanced data modeling approaches.
- Detailed clinical models are a key component for overcoming representation hurdles in clinical guideline implementation.