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Company focus

Cerner

What factors are contributing to the increased error rates in medication orders processed through Cerner's PharmNet pharmacy information system this month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Technical Understanding Healthcare Pharmaceuticals Information Technology Root Cause Analysis System Performance Error Rates Healthcare IT Pharmacy Management
Product Management Root Cause Analysis Question: Investigating increased medication order error rates in a pharmacy system

Introduction

The increased error rates in medication orders processed through Cerner's PharmNet pharmacy information system this month represent a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

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 be a recent system update. Has there been any significant changes or updates to PharmNet in the past month?

Why it matters: System changes often correlate with performance issues. Expected answer: Yes, a minor update was rolled out two weeks ago. Impact on approach: If confirmed, we'd focus on the update's components and rollout process.

  • Considering user segments, I'm curious about the error distribution. Are we seeing these increased error rates across all types of medication orders, or are they concentrated in specific categories?

Why it matters: This helps pinpoint whether the issue is systemic or category-specific. Expected answer: The errors are more prevalent in complex, multi-drug orders. Impact on approach: We'd investigate the system's handling of complex order logic.

  • Thinking about performance metrics, I'm wondering about the magnitude of the increase. Can you quantify the error rate increase compared to our baseline?

Why it matters: Understanding the scale helps prioritize our response. Expected answer: Error rates have increased by 30% compared to the previous month. Impact on approach: A significant increase would warrant more urgent and comprehensive measures.

  • Considering potential external factors, have there been any recent changes in medication protocols or regulatory requirements that might impact order processing?

Why it matters: External changes could be forcing our system to handle new scenarios it wasn't designed for. Expected answer: No major regulatory changes, but a new set of complex medications was recently introduced. Impact on approach: We'd examine how the system handles these new medications and if they're contributing to the error increase.

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Updated Jan 22, 2025