HA540 Unit 3 Endoscopy Recovery Flow Analysis Example

Reviewed by Chester Goodwin, MBA Health Care Operations and Quality Assessment Purdue University Global Free custom sample in 24 to 48h

This HA540 Unit 3 patient flow analysis shows that a composite hospital endoscopy unit's procedure rooms are not slow; they are waiting for recovery. It was written for Purdue Global HA 540, Health Care Operations and Quality Assessment, in the Master of Health Administration (MHA). All six rooms start at 07:30, and by 09:45 fifteen sedated patients need twelve recovery bays. Patients then recover in the procedure rooms, holding them for 214 minutes on the sample day. Yet across the whole day, recovery demand is only 29 percent of bay capacity, so the problem is timing. Rebuilding a single Tuesday in fifteen-minute blocks, the analysis tests a staggered start template that brings peak recovery demand down to twelve and the last discharge earlier.

CourseHA540 Health Care Operations and Quality Assessment
UnitUnit 3
Paper typePatient flow analysis
LengthAbout 860 words, 6 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramMaster of Health Administration (MHA)
UpdatedOctober 2026

Free sample paper for HA540 Unit 3

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Fifteen Patients for Twelve Recovery Bays at 09:45: A Patient Flow Analysis of a Single Tuesday at a Composite Hospital Endoscopy Unit, Showing That the Rooms Wait on Recovery and Testing a Staggered Start Template

[Student Name]

Purdue University Global

HA540: Health Care Operations and Quality Assessment

Unit 3 Patient Flow Analysis

[Instructor Name]

[Date]

The unit, the template and every count are composite and bracketed for the writer's own data.

What this part is doingThe analysis tests capacity first, so the reader knows whether the unit lacks space or simply uses it at the wrong times.
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The Question

Physicians complain that rooms "turn slowly." The unit's own data show room turnover near its target. This analysis asks where the time actually goes, following the whole flow from pre-procedure bay to recovery and discharge.

Capacity Before Timing

The unit has [12] recovery bays open [600] minutes a day, [7,200] bay-minutes. Recovery demand on the sample day: [38] routine patients at about [40] minutes each and [eight] advanced patients at about [70], [2,080] bay-minutes in total, or [29] percent of capacity. Across the day, there is far more recovery space than patients need. The problem is when they arrive in it.

How the Day Was Rebuilt

I took one ordinary Tuesday from the scheduling system, with booked start times, actual room-in and room-out times, recovery arrival and discharge for every patient. Each patient's recovery stay was placed on a grid of fifteen-minute blocks from [07:30] to [18:30], and the number of patients in recovery was counted block by block. The same grid was then rebuilt under the new template, keeping every patient's actual procedure and recovery length so that only the start times changed. A Tuesday was chosen because the nurse manager judged it typical; a Monday, with more add-on cases from inpatient floors, would show a sharper peak.

What this part is doingHolding each patient's procedure and recovery length fixed isolates the effect of the schedule from everything else.
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Demand in Fifteen-Minute Blocks

Because all six rooms start at [07:30] and routine cases finish within about half an hour, six patients enter recovery between [08:00] and [08:15], six more by [08:45] and so on. Recovery demand rises above twelve in [seven] of [40] blocks, peaking at [15] around [09:45]. Hourly counts would hide this, because an hour that averages ten patients can contain a quarter-hour of fifteen. The unit does not run short of recovery bays across the day; it runs short for about two hours every morning. When no bay is free, the patient stays in the procedure room under nurse observation, a "room hold." On the sample day, room holds totaled [214] minutes, enough room time for about [five] routine procedures. Physicians see a room that is not ready and call it slow turnover. Simulation studies of colonoscopy suites show the same interaction: adding procedure rooms does little if recovery capacity and arrival times do not match them, while changing the schedule can raise throughput with no new space (Berg et al., 2010).

Pre-Procedure Bays

The [eight] pre-procedure bays fill at [07:00] and empty in a rush as all rooms call their first patients. Late-arriving patients for second cases then wait in the lobby until bays free up, which is part of why the loops found in Unit 2 caused such long delays.

The Redesigned Template

Rule 1: stagger room starts in pairs at [07:30], [08:00] and [08:30]. Rule 2: place advanced cases, which have longer recovery, at the start of the fluoroscopy rooms' days, so their recovery overlaps the quieter early period. Rule 3: cap new recovery arrivals at [three] in any fifteen-minute block, so nurses can complete handoffs safely. Rule 4: book short routine cases to fill gaps late in the day.

What this part is doingEach scheduling rule is stated plainly, so staff can apply the template without the analyst present.
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Results on Four Measures

Peak recovery demand: [15] before, [12] after. Blocks over capacity: [seven] before, [zero] after. Room-hold minutes: [214] before, about [18] after, from a single advanced case that overran. Last discharge: [18:05] before, [17:50] after, because rooms no longer wait for recovery. The staggered start means the last two rooms run to [17:30] or a little past, which requires adjusting the schedules of [two] nurses and the physicians assigned to those rooms. A study of an endoscopy center serving low-income patients found that changing the schedule and staffing pattern improved flow more cheaply than adding rooms (Day et al., 2014).

What Physicians Lose

Physicians assigned to later starts lose an early finish on those days. Rotating the late rooms among physicians spreads that cost. Some physicians with clinic afternoons may need to keep early starts, which the template can allow for one pair of rooms.

Limits

Real days bring add-on cases from inpatients, cancellations and procedures that run long. The template should hold back about [30] minutes of slack at mid-morning. Recovery times vary with sedation type; patients with deep sedation by anesthesia staff take longer, which the template treats as advanced. One day was modeled in detail; the pattern should be checked over a month of data before the template is adopted.

Recommendation

Test the staggered template for [four] weeks, measuring room holds and recovery peak daily, before making it permanent. Measurement over time, rather than a single day's comparison, will show whether the gain holds (Langley et al., 2009).

Conclusion

The rooms are not slow; they are waiting for recovery. The fix is mostly when patients are booked, not how many bays the unit has.

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References

Berg, B., Denton, B., Nelson, H., Balasubramanian, H., Rahman, A., Bailey, A., & Lindor, K. (2010). A discrete event simulation model to evaluate operational performance of a colonoscopy suite. Medical Decision Making, 30(3), 380-387. https://doi.org/10.1177/0272989X09345890

Day, L. W., Belson, D., Dessouky, M., Hawkins, C., & Hogan, M. (2014). Optimizing efficiency and operations at a California safety-net endoscopy center: A modeling and simulation approach. Gastrointestinal Endoscopy, 80(5), 762-773. https://doi.org/10.1016/j.gie.2014.02.1032

Langley, G. J., Moen, R. D., Nolan, K. M., Nolan, T. W., Norman, C. L., & Provost, L. P. (2009). The improvement guide: A practical approach to enhancing organizational performance (2nd ed.). Jossey-Bass.

HA540 Unit 3 instructions, in plain terms

Unit 3 in HA 540 typically asks students to analyze patient flow through a service and identify where it breaks down. Instructions usually require describing the flow, measuring demand against capacity at each stage, finding the bottleneck, proposing a change and estimating its effect. Some prompts expect a chart of demand over the day. Test total capacity before blaming the schedule, because a unit short of space needs a different fix from one that uses its space at the wrong times. Use short time blocks, such as fifteen minutes, since hourly counts hide surges. Keep each patient's actual service time when modeling a new schedule, so only the change itself moves the result. Back the analysis with operations or simulation studies in APA style, and admit what one modeled day cannot show.

How this HA540 Unit 3 example is built

The sample states the question, then compares recovery demand of 2,080 bay-minutes with capacity of 7,200 and concludes the issue is timing. A section explains how the Tuesday was rebuilt, with a margin note on holding service times fixed. Demand by fifteen-minute block shows seven blocks above capacity, and a highlighted line says the shortage lasts about two hours each morning. Room holds are counted and linked to physicians' complaints about turnover. Simulation research on colonoscopy suites supports the finding. The redesign states four scheduling rules, with a margin note on writing them plainly. Results are compared on peak demand, blocks over capacity, room-hold minutes and last discharge. What physicians lose, limits and a recommendation to test for four weeks close the analysis.

Where the points sit in the HA540 Unit 3 rubric

In HA 540, flow analysis grading typically rewards a plain account of each stage of the flow, accurate demand and capacity figures, correct identification of the bottleneck, a reasoned redesign, measured results, limitations, sources and presentation. Flow points go to describing each stage a patient passes through. Capacity points require comparing totals before analyzing timing. Bottleneck points reward evidence that the constraint is where the paper says it is. Redesign points depend on rules staff can apply. Result points go to several measures compared before and after. Limitation points reward naming real-day variation. Analyses that overturn a common belief with data, such as slow room turnover, tend to be graded highest because they show the analyst looked past the obvious explanation.

HA540 Unit 3 help from the desk

Flow papers often lose points by assuming the busiest stage is the bottleneck without checking the others. Others use hourly or daily totals that hide the surge causing delays. Some propose adding space when the problem is the schedule. Start by comparing total demand with total capacity at each stage. Then profile demand in short blocks to find when it exceeds capacity. Trace the effect downstream, as when recovery shortages hold procedure rooms. Write the redesign as clear rules, keep service times fixed when modeling it and compare results on several measures. Name who bears the cost of the change, such as physicians with later starts, and recommend a trial period before the template becomes permanent.

Get an HA540 Unit 3 example written to your instructions

Describe the flow problem behind your Unit 3 assignment: the resource that runs short, roughly when, and how appointments or arrivals are booked. Add any data supplied, plus the prompt and rubric. Expect a free first analysis, capacity arithmetic shown step by step and a revised template where the prompt asks for one, inside 24-48h. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

More HA540 papers and MHA samples

HA540 Unit 3 questions, answered

Where can I find a free HA540 Unit 3 sample paper?

The complete HA540 Unit 3 patient flow analysis is here, rebuilding a composite endoscopy unit's day in fifteen-minute blocks to find the recovery bottleneck.

What is the bottleneck in the HA540 Unit 3 analysis?

Recovery bays during a two-hour morning surge, which forces patients to recover in procedure rooms.

What is a room hold?

Time a patient spends recovering in the procedure room because no recovery bay is free, blocking the next case.

Why use fifteen-minute blocks?

Hourly counts can average out a short surge that is the real cause of delays.

How long is the HA540 Unit 3 analysis?

About five pages with a demand profile, a redesigned template and four measures.