The short answer
To reduce lab turnaround time, first define it clearly, then break it into pre-analytical, analytical and post-analytical stages and measure where samples wait. Most delay sits outside the analyzer: in registration, sample transport, receipt, validation and report release. Fix handovers, prioritise emergency samples and remove retyping before buying faster machines.
Key takeaways
- Define TAT with fixed start and stop points, or you will argue about numbers instead of fixing delays.
- Most of the waiting happens before and after the analyzer: collection, transport, receipt, validation and release.
- Separate queues for emergency, inpatient and routine samples prevent urgent tests from waiting behind a batch.
- Removing manual transcription and printing steps often saves more time than adding capacity.
- Track a handful of measures weekly and review outliers, not just averages.
How do you reduce lab turnaround time?
You reduce turnaround time (TAT) by finding where samples wait and fixing those handovers. Start by defining TAT, measure each stage of the testing path, and then remove delays in this order: waiting for the sample, waiting to be registered, waiting to run, waiting to be validated, and waiting to be released.
Many labs jump to equipment, but equipment is rarely the main cause. The analyzer may run a test in minutes while the sample spends hours in a transport box, a registration queue or a validation stack. This article gives a stage-by-stage method. For the broader context, see our laboratory information system guide.
What does turnaround time actually mean?
Different people mean different things, which is why TAT arguments never end. Pick and publish your definitions.
| Definition | Start | Stop | Who cares most |
|---|---|---|---|
| Order-to-report | Doctor places order | Report released | Clinicians and patients |
| Collection-to-report | Sample collected | Report released | Ward and collection staff |
| Receipt-to-report | Sample received in lab | Report released | Lab management |
| Analytical TAT | Analyzer starts | Analyzer result | Technical team |
A clinician experiences order-to-report. A lab manager often measures receipt-to-report because the lab controls it. Both are useful, but they answer different questions. Measure at least order-to-report for emergency and inpatient tests, because that is what affects ward rounds and discharge.
Where does the time go?
Divide the journey into three stages.
Pre-analytical (before the analyzer)
- Order placed late or unclear.
- Patient waits at registration or billing.
- Sample collection delayed, wrong container, insufficient volume.
- Manual labelling errors.
- Sample waits for transport or batching.
- Sample waits at receipt for registration in the register.
This stage is often the largest source of delay and the largest source of rejected samples.
Analytical (on the analyzer)
- Waiting for batch completion or reagent loading.
- Queue behind routine work.
- Repeat runs for abnormal values.
- Analyzer downtime or calibration.
Post-analytical (after the analyzer)
- Results typed by hand.
- Results wait for validation by a busy pathologist.
- Reports printed, signed and hand-carried.
- Clinician unaware that the report is ready.
- Critical results not communicated promptly.
Time-stamp each hand-off (ordered, collected, received, resulted, validated, released) and you will see the pattern within a week or two.
What are the quick wins?
1. Separate priority queues
Emergency, ICU and ward samples should not sit in the same pile as outpatient routine work. In a system where walk-ins and emergency cases enter the same queue with a priority flag, urgent samples rise to the top. Make the priority visible on the sample label and on the technician's worklist. See how the emergency side works in emergency triage and MLC software.
2. Label and scan at the bedside or counter
Generate the sample ID at collection and print the label right there, so the tube is identified from the first minute. Scanning at receipt replaces manual register entries. Our article on barcode sample tracking covers the practice.
3. Scheduled sample pick-ups
Instead of waiting for a runner to fill a box, set fixed collection rounds from wards, with an extra run for urgent samples. A simple timetable on each ward cuts the invisible waiting.
4. Stop retyping
Every manual transcription costs time and invites errors. Where volumes justify it, connect high-volume analyzers so orders go out and results return automatically, as described in LIS analyzer interfacing. For tests that remain manual, use entry screens with reference ranges and templates, not free text.
5. Validate in waves, not at the end of the day
If a pathologist or senior technician validates only at fixed hours, reports wait. Agree validation windows during the day, with a rule for urgent tests to be validated on arrival. A pending-validation list sorted by priority and age makes this practical.
6. Make the report instantly visible
When a report is validated, the clinician should see it in the patient record without a phone call. That is the advantage of an LIS that shares the record with the OPD and IPD modules. Where patients collect reports, optional alerts when a report is ready reduce counter crowding.
7. Reduce avoidable rejections and recollections
A rejected sample restarts the clock. Common causes: wrong tube, insufficient volume, haemolysis, missing or mismatched label, delayed transport. Capture rejection reasons in the LIS, review them weekly, and train collectors accordingly.
How should you use an LIS to measure TAT?
A laboratory information system can time-stamp each status change automatically, so you do not rely on staff writing times. Useful reports include:
- Pending samples by age. What is waiting and for how long.
- TAT by test group and priority. For example, emergency biochemistry versus routine serology.
- TAT by stage. Collection to receipt, receipt to result, result to validation, validation to release.
- Overdue list. Tests that crossed the agreed target.
- Rejections by reason and by collector or location.
- Workload by hour. When the peaks happen compared with staff on the bench.
Look at percentiles or the share of tests inside target, not just the average. An average can look fine while a tail of long delays hurts patients.
How do staffing and layout affect TAT?
Software alone will not fix a structural bottleneck. Check:
- Bench staffing against hourly workload. If receipt peaks at 9 to 11 in the morning, rosters should reflect that.
- Physical distance. The path from the emergency department or ICU to the lab should be short and fixed.
- Single points of failure. One analyzer for one test group, one pathologist for all validation, one person for registration.
- Downtime plan. If the analyzer or the network fails, what is the fallback and how are samples prioritised?
A duty roster that is tied to actual workload patterns is easier when HR and lab data are visible together, which is one reason hospitals look at a hospital management system as a whole.
How do you tackle outsourced tests?
Referral tests have the longest and least visible TAT. Track them separately:
- Date and time sent, courier or pick-up details.
- Expected reporting time from the referral lab.
- Date result received and entered.
- Overdue reminders.
Tell clinicians and patients the expected time at the point of ordering so the long tail is not a surprise.
How do you improve emergency and critical results?
For emergency and critical tests:
- Mark them as priority at order entry.
- Make sure the collector prints the label immediately.
- Run them first, outside batches.
- Validate on arrival.
- Notify the clinician of critical values by a defined route and record the notification and time.
Record critical value communication in the system so you can review it, not just in a register at the nurses' station.
A short improvement plan
- Week 1. Agree TAT definitions. Time-stamp the six hand-offs for emergency and inpatient tests.
- Week 2. Review the data: which stage has the longest waits?
- Week 3. Pick two fixes. For example, priority queues and scheduled pick-ups.
- Week 4. Implement, train, and tell the clinicians.
- Week 5 onwards. Review weekly, look at outliers, repeat with the next stage.
Use the same cycle for any test group. Small steady changes beat one large project.
What mistakes should you avoid?
- Reporting only averages. Review the tail.
- Blaming the bench. Delays often sit upstream.
- Faster machines before faster processes.
- Auto-validation without governance. If you use it, document rules and review logs.
- Ignoring the clinician view. If doctors do not know a report is ready, TAT on paper does not help.
Next steps
The laboratory information system module shows how order, sample, result and report stages are tracked on one workflow. For the front end of the flow, see the emergency and casualty management system, and for goal-based planning see faster lab turnaround.