Introduction
The increase in turnaround time for Color's cardiovascular genetic test results by 2 days compared to the previous quarter is a critical issue that requires immediate attention. This delay not only impacts patient care but also affects Color's reputation and operational efficiency. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
Framework overview
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 fluctuations could explain temporary increases in turnaround time. Expected answer: Test volumes are consistent with last year's data. Impact on approach: If volumes are consistent, we'll focus on internal factors rather than external demand changes.
Why it matters: Technical changes often lead to temporary disruptions in processes. Expected answer: A minor software update was implemented last month. Impact on approach: If confirmed, we'll investigate the impact of this update on processing times.
Why it matters: Staff changes can affect efficiency and processing times. Expected answer: Staffing levels have remained stable. Impact on approach: If stable, we'll look at other factors like training or process changes.
Why it matters: Changes in test complexity directly impact processing time. Expected answer: No new tests have been added, but there's been a slight increase in complex cases. Impact on approach: We'll investigate if this increase in complexity is significant enough to explain the delay.
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