HA 640 Unit 1 operations baseline report example

From Tube Station to Verified Result: An Operations Baseline Report on Routine Chemistry Specimens in a Hospital Core Laboratory, 21,840 Tubes Over 28 Days

Student Name

Health Care Administration, Herzing University

HA 640: Healthcare Operations Assessment and Decision-Making

Instructor Name

January 15, 2026

From Tube Station to Verified Result: An Operations Baseline Report on Routine Chemistry Specimens in a Hospital Core Laboratory, 21,840 Tubes Over 28 Days

The Process and Its Boundaries

This report sets the baseline for one process in the core laboratory of a composite 350-bed teaching hospital: routine chemistry specimens from inpatient units, such as basic and comprehensive metabolic panels. The clock starts when a tube is scanned as received at the laboratory's pneumatic tube station or courier bench, and stops when the result is verified in the laboratory information system and released to the electronic record. Collection on the unit, transport, and the physician's viewing of the result are outside the boundary. Emergency department specimens and specimens ordered as urgent follow a separate priority path and are excluded.

The question behind the baseline is practical. Physicians round from 7:00 a.m. and want morning results in hand; the medical staff has complained that results for 5:00 a.m. draws are often not available until after 8:00 a.m.

Data Source and Window

Every timestamp comes from the laboratory information system, which records receipt, accessioning, centrifuge loading, analyzer loading and result verification for each tube. The observation window is the 28 days from November 3 to November 30, 2025, covering four full weeks so that each day of the week appears four times. The window contains 21,840 routine chemistry tubes. Two limits apply. The system records when a tube is loaded into a centrifuge but not when the spin ends, so spin time is taken from the centrifuge's fixed cycle rather than measured. And processor time per tube was measured by direct observation of 400 tubes on six mornings, because the system does not record how long each handling step takes.

Arrivals

Tubes arrive at an average of 780 a day, with a standard deviation of 64 across the 28 days. Weekdays average 820 and weekend days 680. The pattern by hour matters far more than the daily total, because the morning draw sends most tubes in a short window.

Steps, Processing Times and Resources

Processing time is the time a resource spends working on a tube. Waiting time, the interval between steps, is recorded separately below, because the two behave differently: processing time is fairly steady, while waiting grows sharply, and nonlinearly, as a step's workload approaches its capacity (Hopp & Spearman, 2008).

Specimen processors handle four tasks for each tube: accessioning (scan, label check and receipt), 0.45 minutes on average with a standard deviation of 0.20; loading and unloading centrifuges, 0.20 minutes; sorting into analyzer racks and loading, 0.15 minutes; and exception handling for mislabeled, clotted or unlabeled tubes, which affects 1.7% of tubes at about 6 minutes each, 0.10 minutes averaged across all tubes. Total processor time is 0.90 minutes per tube. Two processors work from 4:00 to 8:00 a.m.; one works at all other hours.

Centrifuges: two units, each holding 40 tubes, with a fixed 12-minute cycle including loading. Chemistry analyzers: two, each averaging 170 tubes an hour at the current test mix, with about 19 minutes on the analyzer per tube. Result verification: 80% of results are verified automatically by rules; the other 20% are reviewed by a medical laboratory scientist, 1.2 minutes each, with one scientist overnight and two from 7:00 a.m.

Waiting and Total Time

Median minutes at each interval for tubes arriving between 5:00 and 7:00 a.m., compared with tubes arriving at other hours.

Output and Variation

Output is measured as tubes verified per hour over the same window. From 5:00 to 7:00 a.m., the laboratory verified an average of 130 tubes an hour against 152 arriving, so the backlog grew through the peak; it cleared by about 8:15 a.m. on a typical weekday. Across all tubes in the window, the median time from receipt to verified result was 52 minutes and the 90th percentile 96 minutes. A widely cited review of laboratory turnaround suggests that 90% of common tests be completed within 60 minutes of registration as an initial goal, and recommends reporting percentiles rather than means for exactly this reason (Hawkins, 2007). The baseline meets that goal off-peak and misses it badly for morning draws.

Variation by day matters too. On the four Mondays in the window, the 90th percentile for morning tubes reached 162 minutes, compared with 128 minutes on Saturdays. Mondays carry the most tubes and, on two of the four, one processor called out sick. The next unit uses these measures to find the constraint. Errors before testing, such as labeling problems, are also a known source of both delay and patient risk, since most laboratory errors arise before analysis begins (Plebani, 2006).

What the Baseline Does and Does Not Establish

The baseline establishes three facts that later units rely on. First, the problem is concentrated in two hours: tubes arriving between 5:00 and 7:00 a.m. wait a median of 31 minutes before anyone touches them, while tubes arriving at other hours wait 2. Second, the steps after accessioning take about the same time at the peak as at other hours, which suggests that the equipment keeps up and that the delay begins at the front of the process. Third, the time on the analyzer, 19 minutes, is fixed by the test chemistry and cannot be shortened by operational changes.

The baseline does not establish why tubes arrive when they do. The morning draw is scheduled by nursing and phlebotomy, and the arrival curve is a product of that schedule, not a law of nature. It also does not measure what happens before receipt, such as tubes waiting on a unit for transport, which physicians experience as part of the delay. Both matter for the options considered later in the term, and both will be measured separately if an option depends on them.

References

Hawkins, R. C. (2007). Laboratory turnaround time. The Clinical Biochemist Reviews, 28(4), 179-194.

Hopp, W. J., & Spearman, M. L. (2008). Factory physics (3rd ed.). McGraw-Hill/Irwin.

Plebani, M. (2006). Errors in clinical laboratories or errors in laboratory medicine? Clinical Chemistry and Laboratory Medicine, 44(6), 750-759. https://doi.org/10.1515/CCLM.2006.123