Why has University Health Network's medical imaging appointment scheduling system seen a 25% decline in utilization rates since the latest software update?

Introduction

The University Health Network's medical imaging appointment scheduling system has experienced a 25% decline in utilization rates following a recent software update. This significant drop in usage warrants a thorough investigation to identify the root cause and implement effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could contribute to this decline.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking the software update might be directly related. Could you provide more details about the nature of this update and when it was implemented?

Why it matters: Understanding the update's scope helps pinpoint potential technical issues. Expected answer: Information about new features or changes in the update. Impact on approach: Guides focus on specific areas of the system affected by the update.

• I'm curious about user feedback since the update. Have you noticed any changes in user complaints or support tickets?

Why it matters: User feedback often highlights usability issues that may not be apparent in quantitative data. Expected answer: An increase in specific types of complaints or support requests. Impact on approach: Helps prioritize user experience issues in the analysis.

• Considering the healthcare context, I'm wondering if there have been any changes in regulatory requirements or hospital policies that might affect scheduling practices?

Why it matters: External factors could influence how and when appointments are scheduled. Expected answer: Information about recent policy changes or new regulations. Impact on approach: May shift focus to compliance-related issues if relevant.

• I'm interested in the system's performance metrics. Have there been any noticeable changes in system speed or reliability since the update?

Why it matters: Technical performance issues could deter users from utilizing the system. Expected answer: Data on system uptime, response times, or error rates. Impact on approach: Guides investigation into potential backend or infrastructure problems.