Why has Intermountain Healthcare's telehealth service usage dropped by 30% over the past quarter?

Introduction

The recent 30% drop in Intermountain Healthcare's telehealth service usage over the past quarter is a significant concern that requires immediate attention. To address this issue, 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 service.

Step 1

Clarifying Questions (3 minutes)

• Considering the timing, I'm wondering if there have been any recent changes to the telehealth platform or service offering. Have there been any significant updates or modifications to the telehealth system in the past 3-6 months?

Why it matters: Recent changes could directly impact user experience and adoption. Expected answer: Yes, there was a major platform update two months ago. Impact on approach: If confirmed, we'd focus on post-update user feedback and performance metrics.

• Looking at the user base, I'm curious about the demographic breakdown. Has there been any shift in the patient population using telehealth services over the past quarter?

Why it matters: Changes in user demographics could indicate broader market trends or accessibility issues. Expected answer: No significant demographic shifts noted. Impact on approach: If confirmed, we'd look more closely at service quality and competitive landscape.

• Considering external factors, I'm thinking about healthcare policy changes. Have there been any recent modifications to telehealth reimbursement policies or regulations?

Why it matters: Policy changes can significantly impact both provider and patient incentives to use telehealth. Expected answer: Some minor changes, but nothing major. Impact on approach: If major changes occurred, we'd need to assess their direct impact on usage patterns.

• Focusing on data integrity, I'm wondering about the consistency of our measurement methods. Has there been any change in how we track or define telehealth usage in the past quarter?

Why it matters: Ensures we're comparing apples to apples and not facing a data anomaly. Expected answer: No changes to measurement methods. Impact on approach: If changes occurred, we'd need to recalibrate our analysis based on the new metrics.