HI555 Unit 10 Cycle Improvement Proposal Example

Reviewed by Chester Goodwin, MBA Revenue Cycle Management Purdue University Global Free custom sample in 24 to 48h

This HI555 Unit 10 cycle improvement proposal makes one change at a composite health system: when a scheduled outpatient surgery moves to a new date, hospital or procedure, the case returns to the authorization team before the patient arrives. As the closing project in Purdue Global HI 555, part of the MS in Health Informatics, it draws on the earlier process map and denial analysis. Moved cases are denied for authorization at 95 per thousand against 8 for unmoved cases. The proposal specifies three trigger fields and a hard stop, defines outcome, process and balancing measures, tests the change for eight weeks at the smaller hospital and states its decision rule in advance.

CourseHI555 Revenue Cycle Management
UnitUnit 10
Paper typeCycle improvement proposal
LengthAbout 1,040 words, 6 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramMS in Health Informatics
UpdatedOctober 2026

Free sample paper for HI555 Unit 10

1

Send It Back When It Moves: A Unit 10 Cycle Improvement Proposal to Re-Verify Authorization on Every Rescheduled Surgical Case

[Student Name]

Purdue University Global

HI555: Revenue Cycle Management

Unit 10 Cycle Improvement Proposal

[Instructor Name]

[Date]

Bellcourt Health, its hospitals, cases, rates and costs are composite; the sources cited are real.

What this part is doingCommitting to the measures and the decision rule before the test begins is what separates an improvement proposal from a request for approval.
2

Summary

Rescheduled surgical cases at Bellcourt keep authorizations issued for another hospital or date window, and they are denied for authorization about twelve times as often as cases that never move. This proposal adds an automatic re-verification step for moved cases, tests it for eight weeks at the north hospital with the main campus as a comparison, and needs roughly $45,000 over twelve months, weighed against an estimated $250,000 in avoided write-offs. If the test meets a stated threshold, the change goes to both hospitals; if it does not, it is revised or dropped.

The Problem

The front-end process map in Unit 3 showed moved cases flowing on to the pre-admission call with no stop at the authorization desk. About 40 cases a month move across the two hospitals. Over the last two quarters, moved cases were denied for authorization at 95 per thousand, against 8 per thousand for cases that never moved. The denial analysis in Unit 5 found that authorization denials originating in scheduling are overturned less than half the time, so most of these become write-offs. At an average expected payment of about $9,400 per outpatient surgical claim and a write-off rate after appeal of about 60 percent, the moved-case path costs roughly $250,000 a year. Payer authorization lists now reach far into outpatient procedures (Schwartz et al., 2021), so the path will not shrink on its own.

One Change, and Why Only One

The proposal deliberately makes one change. Several other improvements are tempting, such as electronic booking for every surgeon's office and a new authorization tracking field. Making them at the same time would make the result impossible to attribute: if denials fell, no one would know which change did it. Improvement methods favor trying a single change in a limited place first and widening it only after it works, so that its effect stays visible (Langley et al., 2009).

The Design

Trigger. A moved case fires the trigger when any of three fields changes after authorization is recorded: the date of surgery moves outside the authorized window, the hospital changes, or the primary procedure code changes. Other edits, such as a new start time on the same day, do not fire it.

What the authorization team sees. The case appears in the authorization work queue with a flag showing which field changed, the old and new values, and the authorization details on file. The specialist checks whether the existing approval still applies and, if not, requests a new one or an update from the payer.

The hard stop. A flagged case cannot be marked ready at the pre-admission step until the specialist records the authorization as confirmed for the new date, hospital and procedure. If it is not confirmed by 24 hours before surgery, the surgeon's office and the patient are called, and the case is either held or the patient signs an informed notice of possible financial responsibility, according to existing policy.

A case whose authorization no longer matches cannot reach the operating room schedule without a person deciding that it should.

What this part is doingSpecifying the trigger fields and the hard stop precisely enough to build is what makes the design credible to the informatics team that would have to configure it.
3

Measurement Plan

The measures are defined before the test, following the practice of choosing outcome, process and balancing measures together (Provost & Murray, 2011).

1. Outcome measure: authorization denials per thousand moved cases, by date of surgery.

2. Process measure: share of moved cases re-verified and confirmed before surgery.

3. Balancing measure one: day-of-surgery cancellations for lack of authorization, which could rise if the hard stop catches cases too late.

4. Balancing measure two: operating room minutes left idle by canceled or held cases, which would show any cost the change pushes onto surgical services.

Data come from the scheduling system's change log, the authorization work queue and the remittance files, reported weekly.

The Test

The trial runs for eight weeks at the north hospital, which moves about twelve cases a month and has a single authorization specialist who can learn the new queue quickly. The main campus runs unchanged over the same weeks as a concurrent comparison. Because both hospitals share payers, enrollment changes or new payer rules during the trial affect both, so a gap that opens between the two hospitals points at the change far more convincingly than comparing one hospital with its own past would. Eight weeks will produce only about 24 moved cases at the north hospital, too few to prove a reduction in denials on their own, so the process measure carries the trial: if re-verification reliably happens, the denial effect follows from the mechanism shown in the earlier units.

Cost

1. Build and testing: about 120 hours of informatics analyst time at $95 an hour, roughly $11,400, one time.

2. Authorization staffing: a half-time specialist position, about $34,000 a year with benefits, to absorb re-verification work at both hospitals once spread.

3. Training: two one-hour sessions for schedulers and authorization staff, absorbed in existing meetings.

First-year cost is about $45,000. Avoided write-offs, if denials on moved cases fall to the level of unmoved cases, would be about $230,000 a year after the change, since a small residual rate will remain.

Decision Rule

At the end of eight weeks, the steering group will adopt the change at both hospitals if three conditions hold at the north hospital: re-verification is confirmed before surgery for at least 90 percent of moved cases; day-of-surgery cancellations for authorization do not exceed one a month; and idle operating room minutes from held cases do not exceed the main campus's rate. If re-verification falls short, the queue design will be revised and tested for another eight weeks. If cancellations rise, the 24-hour threshold will move earlier. The denial outcome will be tracked for six months after spread to confirm the effect.

What this part is doingWriting the decision rule before the data exist protects the proposal from being judged by whatever result happens to look best afterward.
4

Limits

The cost-benefit estimate depends on average surgical payment and write-off rates from two quarters. A payer that relaxes its site rules would shrink the benefit; one that tightens them would enlarge it.

5

References

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.

Provost, L. P., & Murray, S. K. (2011). The health care data guide: Learning from data for improvement. Jossey-Bass.

Schwartz, A. L., Brennan, T. A., Verbrugge, D. J., & Newhouse, J. P. (2021). Measuring the scope of prior authorization policies: Applying private insurer rules to Medicare Part B. JAMA Health Forum, 2(5), e210859. https://doi.org/10.1001/jamahealthforum.2021.0859

HI555 Unit 10 instructions, in plain terms

The final unit commonly asks for a proposal to improve one part of the revenue cycle, supported by the evidence gathered in earlier units. Expect to define the problem with data, design a specific change, plan how it will be measured and tested, estimate costs and state how a decision will be made. Nine pages with a short summary is a typical scope. Propose one change rather than several, and explain why. Describe the design in enough detail that someone could build it. Choose outcome, process and balancing measures before the test begins. Use a concurrent comparison where possible. Write the decision rule in advance so the result cannot be interpreted after the fact. Restate earlier findings only as far as the case requires.

How the HI 555 Unit 10 example is put together

A summary states the change, its test, its cost and its decision rule. The problem section restates the moved-case path from the process map and prices it at about 250,000 dollars a year. A short section explains why only one change is proposed, citing the improvement guide. The design names the three trigger fields, what the authorization team sees and the hard stop, and the highlighted sentence observes that no mismatched case reaches the schedule without a person deciding. Four measures follow, with data sources. The test section describes eight weeks at the north hospital against the main campus and admits that the denial count will be small. A cost list and a decision rule with three conditions close the proposal, followed by limits.

HI555 Unit 10 rubric: what earns full points

Improvement proposals are usually scored on problem definition, design of the change, measurement and testing, cost analysis and writing. Design and measurement typically carry the most points, judged on whether the change is specific enough to build and whether measures, including balancing measures, are defined before testing. Problem definition earns credit when it rests on earlier evidence. Cost analysis is rewarded when it compares costs with expected benefits honestly. A decision rule stated in advance is increasingly expected at the graduate level. Clear organization and APA format complete the rubric. Proposals that bundle several changes, or that define success only after results are in, tend to lose points.

HI555 Unit 10 help from the desk

The most common reason final proposals are returned is that they propose too many changes at once. Another is a design described in general terms, such as improve communication, that no one could build. Some students forget balancing measures, so harm from the change would go unnoticed. Tests are often planned without a comparison group. Costs may be listed without benefits, or benefits overstated. Decision rules are frequently missing. If your capstone change is different, perhaps a scrubber rule or a charge reconciliation, bring your earlier unit papers and the prompt, and a proposal can be built that ties your evidence to one testable change.

Get an HI555 Unit 10 example written to your instructions

Which change does your final unit call for? The sample follows the one your earlier analysis points to, so include that analysis, or a summary, plus the final instructions and rubric. No charge applies to the first custom sample; it arrives within 24-48h with the measures and decision rule fixed before any trial. 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 HI555 papers and MS in Health Informatics samples

HI555 Unit 10 questions, answered

Why test at one hospital instead of both?

Testing at one site while the other continues unchanged creates a comparison over the same weeks, which helps separate the change's effect from outside factors such as payer policy updates. It also limits disruption if the change causes problems. The example picks the smaller hospital for that reason and states how the result would be judged before expansion.

Where can I find a free HI555 Unit 10 sample paper?

This page holds the full Unit 10 proposal, from the moved-case problem through the trigger design and four measures to the rule agreed in advance.

What makes a moved case go back to authorization in this proposal?

A change to any of three fields after authorization is recorded: a date outside the approved window, a different hospital, or a different primary procedure code.

What balancing measures does the HI555 proposal track?

Day-of-surgery cancellations for lack of authorization and operating room minutes left idle by held cases, so that fewer denials are not bought with turned-away patients.

Should the cost estimate include avoided write-offs?

Yes, if they are estimated honestly from expected payment and write-off rates. The sample compares about 45,000 dollars in first-year cost with roughly 230,000 dollars in avoided write-offs.