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The Number Needed to Remind: a Measure for Assessing CDS Effectiveness
Jonathan Einbinder1, Esteban Hebel2, Adam Wright1
1Clinical Informatics Research and Development, Partners Healthcare Systems, Wellesley, MA ; Harvard Medical School, Boston, MA ; Massachusetts General Hospital, Boston, MA.
This study introduces a new framework to evaluate clinical decision support (CDS) effectiveness using reminder performance (RP) and number needed to remind (NNR) metrics. The findings offer insights into improving CDS interventions and patient outcomes.
Area of Science:
- Health Informatics
- Clinical Decision Support Systems
- Healthcare Quality Improvement
Background:
- Clinical decision support (CDS) systems can enhance healthcare quality and efficiency, but evaluating their effectiveness is challenging.
- Existing methods for assessing CDS impact are insufficient for comprehensive analysis.
- A robust evaluation framework is needed to understand CDS interventions' real-world performance.
Purpose of the Study:
- To propose and validate a novel framework for evaluating the performance of clinical decision support (CDS) interventions.
- To introduce two key performance indicators: reminder performance (RP) and number needed to remind (NNR).
- To assess the impact of CDS reminders on adherence to guideline-derived interventions in a large patient population.
Main Methods:
- Analysis of electronic health record (EHR) data for 116,027 patients.
- Measurement of display frequency and performance of eight specific CDS reminders for Coronary Artery disease and Type 2 Diabetes.
- Application of a predefined methodology using RP and NNR to evaluate CDS impact on provider and patient levels.
Main Results:
- Over 1.9 million reminders were analyzed for a subset of 65,516 patients.
- The evaluation framework considered provider acknowledgment and performance events, adjusting for patient exposure.
- Overall reminder performance (RP) was 2.7%, with an average number needed to remind (NNR) of 3.1.
Conclusions:
- The proposed framework offers a novel approach to enhance the design and evaluation of CDS interventions.
- The methodology provides valuable indicators for understanding CDS impact on patient outcomes.
- Further research is necessary to fully ascertain the influence of these systems on overall healthcare quality.
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