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Company focus

DispatchHealth

What factors are contributing to the sudden 30% increase in average response times for DispatchHealth's Acute Care visits in the Denver market this month?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Operational Optimization Healthcare Telemedicine On-Demand Services Data Analysis Performance Metrics Root Cause Analysis System Optimization Healthcare Operations
Product Management Root Cause Analysis Question: Investigating sudden increase in healthcare response times

Introduction

The sudden 30% increase in average response times for DispatchHealth's Acute Care visits in the Denver market this month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for our service quality and patient care.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, metrics, and potential internal causes. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan to resolve the issue and prevent future occurrences.

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 seasonal factors at play. Has there been any unusual weather or events in Denver this month that could impact our service?

Why it matters: Seasonal changes can significantly affect healthcare demand and logistics. Expected answer: No major weather events or unusual circumstances. Impact on approach: If confirmed, we'll focus more on internal factors.

  • Considering our performance metrics, I'm curious about the distribution of the increase. Is the 30% rise consistent across all types of acute care visits, or are certain services more affected?

Why it matters: This helps us narrow down whether the issue is systemic or specific to certain services. Expected answer: The increase is relatively uniform across services. Impact on approach: If uniform, we'll look at broader operational issues; if varied, we'll focus on specific service areas.

  • Regarding user segments, I'm wondering if this increase is affecting all patient demographics equally. Have we seen any changes in the types of patients requesting our services?

Why it matters: Changes in patient demographics could indicate shifts in demand or marketing effectiveness. Expected answer: No significant changes in patient demographics. Impact on approach: If confirmed, we'll focus on operational rather than market-related factors.

  • Thinking about recent changes, have there been any updates to our dispatch system, staffing policies, or service offerings in the past month?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Some minor updates to the dispatch system were implemented. Impact on approach: If confirmed, we'll prioritize investigating these recent changes.

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NextSprints

Updated Mar 29, 2025