Introduction
Athelas's blood test turnaround time increase of 30% over the past month is a critical issue that demands immediate attention. This significant slowdown in processing time could impact patient care, customer satisfaction, and the company's competitive edge in the medical diagnostics market. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, a new automated sample processing system was introduced. Impact on approach: If true, I'd focus on the new system's integration and performance.
Why it matters: Volume spikes can strain capacity and increase turnaround time. Expected answer: Test volume has increased by 20% due to a new partnership. Impact on approach: I'd investigate capacity planning and resource allocation.
Why it matters: More complex tests could slow down overall processing time. Expected answer: No new tests have been added to the panel. Impact on approach: If no changes, I'd focus on existing processes and potential bottlenecks.
Why it matters: Staff changes can impact efficiency and processing times. Expected answer: There's been a 15% turnover in lab technicians. Impact on approach: I'd look into training programs and knowledge transfer processes.
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