Turnaround Time and Staffing on a High-Volume Bench
A hospital pathology laboratory processes 140 surgical cases per day with 3 histology technicians, 1 grossing technician, and 2 pathologists. The laboratory's stated turnaround time (TAT) goal is 90% of routine cases reported within 48 hours of receipt. Last month, only 71% met the goal. Data show: 22% of cases arrive after 3 pm; the grossing bench is the bottleneck (average 38 minutes per case, 5 cases waiting at peak); the embedding and cutting benches run a single shift; and 9% of slides are recuts due to folds or thick sections. A new outreach contract will add 30 cases per day starting next month. The quality manager asks for a plan.
1. Using the data, identify the true bottlenecks and prioritize interventions.
Read the worked answer
Prioritize by impact on the 48-hour TAT, using the data rather than intuition.
- Grossing is the primary bottleneck. 38 minutes per case with 5 waiting at peak means the grossing bench cannot keep up, and late arrivals (22% after 3 pm) pile up behind it. Adding a grosser or extending grossing hours addresses the constraint directly.
- Single-shift embedding/cutting is the secondary bottleneck. Even if grossing clears, a single shift cannot process late-arriving cases in time for next-day reading. A second shift or an evening batch run is needed.
- Recuts (9%) are a quality drain. Each recut consumes cutting capacity and delays the case. Root causes are likely thick sections, poor processing, or blade/technique issues; fix these before adding volume.
- Prioritization. (1) Add grossing capacity or stagger grossing shifts to cover the 3-6 pm surge. (2) Add an evening cutting/embedding run. (3) Reduce recuts through processing and cutting quality checks. (4) Only then absorb the outreach volume, or negotiate a ramp-up.
- Do not add pathologists first. The data point to pre-analytic and histology capacity, not reading capacity.
2. The outreach contract adds 30 cases per day. How do you model capacity and decide whether to accept it?
Read the worked answer
Model capacity explicitly and make a data-based accept/decline recommendation.
- Current demand. 140 cases/day. Grossing at 38 min/case = 5,320 minutes/day of grossing work. With one grosser at roughly 7.5 productive hours (450 min), one grosser handles about 11.8 cases/day, far below 140, so the reported staffing implies either shorter average grossing or unreported overtime; reconcile the numbers before modeling.
- Added demand. 30 cases/day is a 21% increase. Grossing minutes rise by 30 x 38 = 1,140 min/day, requiring roughly 2.5 additional grossing FTE at 450 productive minutes each, plus proportional cutting and embedding capacity.
- Histology. Cutting/embedding must scale with case count and block count; add an evening shift or a second cutter.
- Acceptance criteria. Accept only with a written ramp-up (e.g., 10 cases/day for month 1, 20 for month 2, 30 for month 3), funded additional FTE, and a TAT monitoring plan with a defined trigger to pause intake if TAT falls below 85%.
- Contract terms. Include specimen-type mix (complex cases take longer), courier timing to avoid late arrivals, and a TAT expectation that matches capacity.
- Recommendation. Decline immediate full volume; accept a phased ramp with staffing added first.
3. What quality metrics and monitoring plan would you put in place to verify improvement?
Read the worked answer
A balanced monitoring plan with leading and lagging indicators.
- Lagging (outcome) metrics. Percent of routine cases reported within 48 hours (goal 90%), tracked weekly with a run chart; median and 90th percentile TAT; TAT by specimen type and by arrival time.
- Leading (process) metrics. Grossing backlog at peak (goal fewer than 3 waiting), average grossing minutes per case, recut rate (goal under 3%), embedding/cutting throughput, and late-arrival percentage.
- Stratification. Report TAT separately for late-arriving cases, outreach vs inpatient, and complex specimens so improvements are not masked by case mix.
- Statistical process control. Use run charts or control charts to distinguish common-cause variation from real improvement; a single good month is not evidence.
- Review cadence. Weekly huddle on the leading metrics, monthly report to the quality committee, and a defined escalation if the 48-hour metric stays below 85% for 2 consecutive weeks.
- Feedback loop. Share recut root causes with histology and track corrective actions to closure.