Introduction
A sudden 30% increase in appointment cancellations for UW Health's primary care clinics last week is a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the healthcare provider and its patients.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends could explain the spike and inform our approach. Expected answer: No similar pattern in previous years. Impact on approach: If not seasonal, we'll focus on recent changes or events.
Why it matters: Recent changes could directly impact user behavior. Expected answer: A new online cancellation feature was introduced two weeks ago. Impact on approach: If confirmed, we'd investigate the new feature's usability and impact.
Why it matters: Helps determine if this is a primary care-specific issue or a broader trend. Expected answer: Other departments are not seeing the same increase. Impact on approach: If isolated to primary care, we'd focus on factors unique to this department.
Why it matters: External events could explain the sudden change in cancellations. Expected answer: No major local events or news stories. Impact on approach: If no external factors, we'd focus more on internal processes and systems.
Why it matters: Ensures we're dealing with accurate data and not a reporting anomaly. Expected answer: No changes to cancellation tracking or reporting. Impact on approach: If confirmed, we can trust the data and focus on actual causes rather than measurement issues.
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