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An Automated Strategy to Calculate Medication Regimen Complexity
Yuzhi Lu1, Ariel R Green2, Rosalphie Quiles2
1Johns Hopkins University Whiting School of Engineering, Department of Biomedical Engineering, Baltimore, MD.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 15, 2024
Summary
This study developed an automated method to calculate the Medication Regimen Complexity Index (MRCI). The computational strategy shows promise for efficiently assessing medication complexity and identifying patients for pharmacist interventions.
Area of Science:
- Pharmacology
- Health Informatics
- Pharmacy Practice
Background:
- Assessing medication regimen complexity is crucial for identifying patients who could benefit from pharmacist interventions.
- The Medication Regimen Complexity Index (MRCI) is a comprehensive tool for quantifying complexity based on prescription medicine details.
Purpose of the Study:
- To develop and validate a computational strategy for automating the calculation of the MRCI.
- To assess the performance of the automated strategy against gold-standard MRCI values.
Main Methods:
- A computational strategy was constructed to automate MRCI calculation.
- Performance was evaluated by comparing automated MRCI scores with gold-standard values using correlation coefficients and population distributions.
Main Results:
- The automated strategy achieved satisfactory performance for dosage form and frequency sub-scores (76-80% match).
- Fair performance was observed for the additional direction sub-score (52% match).
Conclusions:
- The automated MRCI calculation strategy has the potential to reduce manual calculation efforts.
- Further development is needed to improve accuracy, particularly for medication administration directions.
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