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Development, Design and Utilization of a CDSS for Refeeding Syndrome in Real Life Inpatient Care-A Feasibility Study
Lara Heuft1, Jenny Voigt2, Lars Selig3
1Institute of Human Genetics, University Medical Center Leipzig, 04103 Leipzig, Germany.
A clinical decision support system (CDSS) aids in recognizing and managing refeeding syndrome (RFS), a dangerous complication in malnourished patients. This tool improves diagnosis and patient care, though further trials are needed.
Area of Science:
- Clinical Informatics
- Critical Care Medicine
- Nutritional Support
Background:
- Refeeding syndrome (RFS) is a potentially fatal complication of nutritional rehabilitation in malnourished patients.
- RFS is often unrecognized, leading to delayed or missed diagnosis and management.
- Effective RFS recognition and management are critical for patient safety.
Purpose of the Study:
- To develop and evaluate a clinical decision support system (CDSS) for improving RFS recognition and management.
- To assess the impact of a CDSS on RFS diagnosis rates and clinical documentation.
- To investigate the effect of CDSS on patient care processes, including nutritional referrals.
Main Methods:
- An algorithm for RFS detection was developed based on diagnostic criteria.
- The algorithm was integrated into a knowledge-based CDSS with therapy and referral recommendations.
- The CDSS was prospectively evaluated in clinical practice over six months.
Main Results:
- The CDSS facilitated RFS diagnosis in 62% of detected cases (13/21).
- RFS-specific coding increased significantly post-CDSS implementation.
- Nutrition referrals for RFS patients doubled in the prospective cohort compared to the retrospective cohort.
Conclusions:
- CDSS implementation is a viable strategy for enhancing RFS recognition.
- The study demonstrates improved diagnostic accuracy and patient care processes.
- Further large-scale randomized controlled trials are warranted to confirm the impact on patient outcomes.
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