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Product Management Root Cause Analysis Question: Investigating pharmacy prescription processing delays

Why did Pharmacy prescription processing time increase to 48 hours?

Problem Solving Data Analysis System Thinking Healthcare Pharmaceuticals Information Technology
Root Cause Analysis Process Optimization System Integration Healthcare IT Pharmacy Operations

Introduction

The sudden increase in pharmacy prescription processing time to 48 hours is a critical issue that demands immediate attention. This significant delay could impact patient care, customer satisfaction, and our competitive position in the market. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might have been a recent system change. Has there been any significant software update or process change in the last month?

Why it matters: System changes often lead to unexpected consequences. Expected answer: Yes, a new inventory management system was implemented. Impact on approach: If confirmed, I'd focus on system integration issues.

  • Considering user segments, I'm curious if this affects all types of prescriptions. Are we seeing the delay across all prescription types, or is it more pronounced for specific medications?

Why it matters: Helps identify if the issue is systemic or specific to certain drugs. Expected answer: The delay is more significant for controlled substances. Impact on approach: If true, I'd investigate regulatory compliance processes.

  • Thinking about performance metrics, I wonder if there's been a change in prescription volume. Have we seen a sudden increase in the number of prescriptions being processed?

Why it matters: A volume spike could overwhelm existing systems. Expected answer: Prescription volume has remained relatively stable. Impact on approach: If volume isn't the issue, I'd look more closely at internal processes.

  • Considering potential data anomalies, I'm wondering about the reliability of our measurement systems. Has there been any change in how we measure or define prescription processing time?

Why it matters: Ensures we're addressing a real problem, not a measurement error. Expected answer: No changes in measurement methodology. Impact on approach: If confirmed, I'd focus on operational issues rather than data collection problems.

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