Introduction
The recent 30% decline in scheduled appointments for UPMC's telemedicine program since the beginning of the year is a significant issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the telemedicine program.
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 fluctuations and help us differentiate between cyclical changes and systemic issues. Expected answer: The decline has been relatively consistent month-over-month. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if consistent, we'd look deeper into recent changes or external factors.
Why it matters: Understanding which segments are most affected can help pinpoint specific issues or user needs not being met. Expected answer: The decline is relatively uniform across demographics and specialties. Impact on approach: If uniform, we'd look at system-wide issues; if specific to certain groups, we'd investigate those segments more closely.
Why it matters: Recent changes could directly impact user experience and appointment scheduling behavior. Expected answer: A minor update to the scheduling interface was implemented two months ago. Impact on approach: If changes occurred, we'd investigate their impact; if not, we'd focus on external factors or gradual shifts in user behavior.
Why it matters: Changes in coverage could significantly impact patient willingness to use telemedicine services. Expected answer: No major policy changes, but some insurers have slightly reduced telemedicine coverage. Impact on approach: If policy changes exist, we'd analyze their impact; if not, we'd look more closely at user preferences and competing services.
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