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Continual development of a personalized decision support system
Dina Demner-Fushman1, Charlotte Seckman, Cheryl Fisher
1U.S. National Library of Medicine, NIH, Bethesda, MD, USA.
Studies in Health Technology and Informatics
|August 8, 2013
Summary
Clinical decision support tools enhance healthcare safety and efficiency. The Evidence-Based Practice InfoBot (EBP InfoBot) system aids in creating individualized patient care plans, demonstrating successful integration and daily use.
Area of Science:
- Health Informatics
- Clinical Decision Support Systems
- Electronic Health Records
Background:
- Meaningful use of Electronic Health Records (EHRs) aims to improve care safety, quality, and efficiency.
- Successful adoption of clinical decision support (CDS) tools relies on information quality, clinical relevance, system integration, and usability.
Purpose of the Study:
- To present the continuous development and evaluation of an evidence-based system for individualized patient care plan development.
- To share lessons learned in the development and maintenance of the EBP InfoBot system.
Main Methods:
- Continuous development and iterative evaluation of the Evidence-Based Practice InfoBot (EBP InfoBot) system.
- Deployment and ongoing monitoring of the EBP InfoBot in a clinical setting.
Main Results:
- The EBP InfoBot system has been in daily use at the NIH Clinical Center since August 2009.
- The system averages 21 requests per day, indicating consistent utilization.
Conclusions:
- Evidence-based clinical decision support systems can be successfully developed and integrated into daily clinical workflows.
- The EBP InfoBot demonstrates the feasibility and utility of technology in supporting individualized patient care planning.
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