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An XML model that enables the development of complex order sets by clinical experts
Guilherme Del Fiol1, Roberto A Rocha, Richard L Bradshaw
1Intermountain Health Care, Salt Lake City, UT 84120, USA. guilherme.delfiol@ihc.com
Summary
Computerized physician order entry (CPOE) systems can reduce medication errors. This study introduces a model for developing best-practice order sets, enhancing CPOE adoption and patient safety.
Area of Science:
- Health Informatics
- Patient Safety
- Clinical Decision Support
Background:
- Medication errors pose significant risks in healthcare.
- Computerized Physician Order Entry (CPOE) adoption remains low despite proven benefits.
- Best-practice order sets can improve CPOE acceptance and reduce errors.
Purpose of the Study:
- To present a model for developing best-practice order sets.
- To address challenges in order set development and maintenance.
- To improve physician acceptance and effectiveness of CPOE systems.
Main Methods:
- Development of a model for order set creation.
- Involvement of clinical experts in the development process.
- Discussion of model requirements and implementation details.
Main Results:
- A model is proposed to guide the development of clinical order sets.
- The model aims to facilitate the creation of evidence-based order sets.
- Focus on expert-driven development to ensure clinical relevance.
Conclusions:
- Expert-driven order set development is crucial for CPOE success.
- The proposed model offers a structured approach to creating and maintaining order sets.
- Implementing such models can enhance medication safety and CPOE utilization.