HA540 Unit 5 Sample Paper

Reducing Left Without Being Seen Rates in a 210-Bed Community Hospital Emergency Department

Author Name

School of Health Sciences, Purdue Global

HA540: Health Care Operations and Quality Assessment

Unit 5 Assignment

Professor Name

February 9, 2026

What this page is doingThe title names a rate, a size of facility, and a setting, which is what separates an operations paper from a general essay on crowding. A reviewer can tell before the first paragraph what will be measured and where. The hospital is a composite built for this example, so no real organization, employer, or patient is described. Keeping the course line and the unit line on the title block also matches how a graded file is usually identified when it is opened in the classroom.

Department Profile and Problem Statement

Riverbend Community Hospital is a 210-bed suburban acute care facility serving a primary service area of about 165,000 residents. Its emergency department operates 26 treatment spaces, a four-chair results waiting area, and a two-bay resuscitation suite. In the 12 months ending December 31, 2025, the department recorded 38,412 visits, an average of 105 per day, of which 19.4 percent ended in an inpatient admission. Arrivals are not spread evenly across the clock: 62 percent of daily volume presents between 11:00 and 23:00, while physician coverage is continuous and advanced practice coverage runs only from 11:00 to 23:00. A demand curve that peaks in the late afternoon against a capacity curve that is flatter than the demand it serves is the operating condition behind the problem described here.

The measured problem is patients who leave before a provider evaluates them. In the same 12-month window, 1,306 of 38,412 registered arrivals left without being seen, a rate of 3.4 percent against a department target of 2.0 percent or lower. Median time from arrival to provider contact was 44 minutes, and median length of stay for treated and released patients was 218 minutes. The cost of that gap runs in two directions. Patients who leave carry an unresolved complaint out the door with no disposition and no follow-up instructions. At an average contribution of $310 per treated and released visit, the same walkouts represent roughly $405,000 of forgone contribution in one year, an illustrative figure that still sizes the problem for a budget conversation.

Delay is not spread evenly across the day either. Of the 1,306 walkouts, 71 percent occurred between 15:00 and 23:00, and a value stream review of that interval isolated two constraints. The first sits at intake, where a single triage nurse completes a full registration before a patient is roomed, so a five-patient arrival cluster creates a queue that does not clear for 90 minutes. The second sits at the back door, where admitted patients held a median of 132 minutes after the admission decision and occupied an average of 4.1 treatment spaces at 18:00. Boarding of admitted patients has been described for two decades as a driver of emergency crowding rather than a symptom of it (Institute of Medicine, 2007), and flow standards place responsibility for it on the whole organization (The Joint Commission, 2012).

What this page is doingNotice that the denominator arrives before the rate: 1,306 of 38,412 arrivals, then 3.4 percent. A rate with no denominator cannot be checked, and a reviewer reading for analysis will look for that pair first. The paragraph then does the second thing an operations reader wants, which is to locate the delay in time of day and at two named constraints rather than blaming triage staff. The dollar figure is labeled illustrative, which keeps the estimate honest while still sizing the problem.

Measure Set and Baseline Performance

The analysis tracks eight measures in three families so that improvement in one is not bought with harm in another. The outcome family carries the rate the project exists to move: the monthly left without being seen rate, defined as patients who register and depart before provider contact divided by all registered arrivals that month, together with median length of stay for treated and released patients, which aligns with the arrival to departure timing hospitals already report for outpatient emergency care (Centers for Medicare & Medicaid Services, 2025). The process family carries the steps that produce those results: median door to provider time, median triage to room time, and median time from admission decision to departure. The balancing family carries what must not degrade while the others improve.

Baseline values come from emergency department timestamps for all 38,412 visits in the 12 months ending December 31, 2025. Patients who left after treatment began are coded separately and excluded from the walkout numerator. Monthly rates ranged from 2.9 percent to 4.1 percent with no point outside three sigma limits and no run of eight points on one side of the mean, which places the department in a stable process producing an unacceptable average. That distinction matters because a stable process does not respond to reminders, audits, or new signage; it responds to a change in how the work is arranged (Langley et al., 2009). The balancing measures start at 2.6 percent for unscheduled return visits within 72 hours, 214 nursing overtime hours per month, and 61 percent top box on likelihood to recommend.

The aim statement fixes what success means before any change is tested. By September 30, 2026, the department will reduce the left without being seen rate from 3.4 percent to 2.0 percent or lower and median door to provider time from 44 minutes to 30 minutes, while holding 72-hour return visits at or below 2.8 percent and nursing overtime at or below 230 hours per month. Outcome measures are plotted monthly on control charts, and process measures are reviewed in the daily flow huddle and summarized every seven days for the department leadership group. Annotating each chart with the date a change was introduced is what allows a reviewer to attribute a shift to a specific intervention rather than to the season (Agency for Healthcare Research and Quality, 2020).

What this page is doingSplitting measures into outcome, process, and balancing families is the move that earns credit in a quality analysis, because it shows the writer knows a gain can be faked. Cutting door to provider time by greeting patients quickly and then abandoning them would show up in the 72-hour return rate. The aim statement carries a number, a direction, and a date, so the plan can later be judged as met or not met instead of described as progress.

Improvement Method and Implementation Plan

The improvement method is the Model for Improvement, run as sequential plan do study act cycles inside one yearlong charter rather than as a single large launch. The method fits the diagnosis: common cause variation in a stable process calls for a redesign that is tested at small scale, kept if the data move, and dropped quickly if they do not (Institute for Healthcare Improvement, 2017). Governance sits with a flow group that meets twice a month and holds the emergency department medical director, the emergency nurse manager, the hospitalist lead, the admitting supervisor, and the environmental services manager. Each of the three changes below has a named owner, a start date, and a measure it is expected to move, so a cycle that failed can be told apart from a cycle that was never run.

The change package has three parts, sequenced from cheapest to hardest. Quick registration comes first: intake captures name, date of birth, and chief complaint, and the remaining registration fields are completed at the bedside, tested for one evening shift, then seven days, then the full 15:00 to 23:00 block. Split flow follows: five treatment spaces are dedicated to lower acuity arrivals with a dedicated nurse and an advanced practice provider from 13:00 to 23:00, an incremental 0.6 full time equivalent costed at about $96,000 annually with no capital request. The admission pull protocol comes last: the receiving unit accepts report within 30 minutes of bed assignment, and environmental services turns a vacated bed within 45 minutes of notification.

Three risks would stall the plan, and each carries a stated response. Recruitment for the incremental provider role could take a full quarter, so the split flow test starts with existing per diem coverage on three evenings rather than waiting for a hire. Inpatient units may treat the 30-minute report window as optional, so performance is reported by receiving unit at the flow group rather than in aggregate. Winter respiratory volume can add 12 percent to daily arrivals and mask a real gain, so every chart carries a prior year comparison line. If the aim is met, roughly 538 patients a year who now leave without care will instead be evaluated, and that is the number that should open the report to the executive committee rather than close it.

What this page is doingThe plan is sequenced rather than listed. Cheapest change first, hardest last, each with an owner, a start date, and the measure it should move, which is what turns a wish list into an implementation plan. Naming three risks with responses shows judgment that reviewers rarely see, and the seasonal comparison line protects against claiming a gain that the calendar produced. Closing on 538 patients rather than on dollars keeps the analysis pointed at the reason the department exists.

References

Agency for Healthcare Research and Quality. (2020). Section 4: Ways to approach the quality improvement process. https://www.ahrq.gov/cahps/quality-improvement/improvement-guide/4-approach-qi-process/index.html

Centers for Medicare & Medicaid Services. (2025). Hospital outpatient quality reporting program measures. QualityNet. https://qualitynet.cms.gov/outpatient

Institute for Healthcare Improvement. (2017). Quality improvement essentials toolkit. https://www.ihi.org/resources/tools/quality-improvement-essentials-toolkit

Institute of Medicine. (2007). Hospital-based emergency care: At the breaking point. National Academies Press. https://nap.nationalacademies.org/catalog/11621

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.

The Joint Commission. (2012). R3 report issue 4: Patient flow through the emergency department. https://www.jointcommission.org/standards/r3-report/

How this HA 540 Unit 5 example is structured

Purdue Global does not publish a deliverable name for each unit of Health Care Operations and Quality Assessment, so this graduate example is written to the genre the unit almost certainly wants. In most sections this unit asks for an operations or quality analysis of one department; your classroom's instructions decide the exact form. The HA540 Unit 5 example runs in three moves. The first body sheet profiles the department and states the problem with its denominator, so a reader knows the size of the system before any fix appears. The second sets out the measure set and the baseline, keeping outcome, process and balancing measures separate so a reviewer can see what is being improved and what is being protected. The third names the improvement method and the order of tests, with owners, dates and cost.

HA540 Unit 5 questions, answered

What does HA540 Unit 5 usually ask for?

In many sections this unit lands in the applied middle of the term and asks for an operations or quality analysis of one department: a stated problem with numbers, a small set of measures, a baseline, and an improvement method. Your classroom's instructions and rubric decide the exact form, so read them before reusing the shape of this example.

How many measures should the analysis include?

Enough to show a system, few enough to manage. This example uses eight measures in three families: two outcome, three process, and three balancing. Reviewers look for the balancing family, because it proves you know a target can be hit while something else quietly gets worse. Six to ten measures is a workable range for a single department.

Can I build the paper on a composite department instead of a real employer?

This example uses a composite hospital, which keeps real people and real employers out of the write-up while still allowing concrete numbers. If your classroom asks for a workplace analysis instead, use your own setting and keep identifying detail out. Either way, state the data window and the denominator so the figures can be checked.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

HA540 Unit 5: sample paper, in real form