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Company focus

MultiPlan

What caused the sudden 30% drop in MultiPlan's out-of-network claims repricing volume last month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Technical Understanding Healthcare Insurance Health Technology Data Analysis Root Cause Analysis System Performance Healthcare Tech Claims Processing
Product Management Root Cause Analysis Question: Investigating sudden drop in healthcare claims processing volume

Introduction

MultiPlan's sudden 30% drop in out-of-network claims repricing volume last month is 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 and long-term implications for the business.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Given the abrupt nature of the drop, I'm wondering about recent system changes. Have there been any significant updates to our claims processing system in the past 1-2 months?

Why it matters: System changes could directly impact processing capacity or accuracy. Expected answer: Yes, a major update was implemented three weeks ago. Impact on approach: If confirmed, we'd prioritize technical investigations.

  • Considering potential data anomalies, has there been any change in how we're measuring or reporting out-of-network claims volume?

Why it matters: Ensures we're addressing a real issue, not a reporting discrepancy. Expected answer: No changes in measurement or reporting methods. Impact on approach: If changes occurred, we'd need to recalibrate our analysis.

  • Looking at market dynamics, have we observed any shifts in provider network compositions among our major payer clients?

Why it matters: Network changes could affect out-of-network claim volumes. Expected answer: Some payers have expanded their networks recently. Impact on approach: If confirmed, we'd investigate the impact of network expansions.

  • Thinking about seasonal patterns, is this 30% drop unusual compared to historical data for the same month in previous years?

Why it matters: Helps distinguish between cyclical patterns and anomalous events. Expected answer: This drop is significantly larger than typical seasonal variations. Impact on approach: If seasonal, we'd adjust our baseline for comparison.

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Updated Jan 22, 2025