Objective: To identify, categorize, and quantify medication prescription errors in remote medical consultations, aiming to improve patient safety and enhance EMR system reliability.
Tools & Skills Used: Advanced Spreadsheets (Excel/Google Sheets), Pivot Tables, Data Cleaning, Data Visualization, Clinical Workflow Analysis.
Key Insights: Analysis of 4,126 electronic prescriptions revealed an overall dosing error rate of 7.10% (293 prescriptions). The most frequent discrepancy was a 'Mismatch between dosage form and unit of dose', representing 5.62% of total prescriptions.
Actionable Recommendation: Implement mandatory 'Hard-stop alerts' in the electronic prescription system to prevent physicians from bypassing unit and dosage form validations, directly addressing the root cause of the most common errors.