HI560 Unit 9 Executive Summary Example

Reviewed by Chester Goodwin, MBA Health Care Data Analytics Purdue University Global Free custom sample in 24 to 48h

This HI560 Unit 9 executive summary gives a composite system's imaging director and chief medical officer one page on incomplete MRI exams at two sites, with no statistical term left unexplained. Purdue Global HI 560, part of the MS in Health Informatics, asks students in the ninth unit to communicate analytic results to leaders. The summary opens with the result and the recommendation, translates the gap into about 35 exams a year that a routing change could save, lists three things leaders should not conclude, and assigns five actions to named owners with dates. A single dot plot compares patients who did and did not report claustrophobia.

CourseHI560 Health Care Data Analytics
UnitUnit 9
Paper typeExecutive summary
LengthAbout 540 words, 4 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramMS in Health Informatics
UpdatedOctober 2026

Free sample paper for HI560 Unit 9

1

The Gap Is in the Booking, Not the Scanner Room: A Unit 9 One-Page Executive Summary on Incomplete MRIs at Two Sites

[Student Name]

Purdue University Global

HI560: Health Care Data Analytics

Unit 9 Executive Summary

[Instructor Name]

[Date]

Thistlewood Health, its sites, leaders and every figure are composite; the sources cited are real.

What this part is doingPutting the result and the request in the first two sentences respects a reader who may stop after them.
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Result and Recommendation

For patients who did not report claustrophobia when booking, the Fennimore center and the hospital suite finish MRI exams at essentially the same rate; Fennimore's higher overall rate of unfinished scans comes from claustrophobic patients booked there, where no calming medication can be given. We recommend sending patients who report claustrophobia to the hospital, or offering them a nurse-supported medication option at Fennimore, rather than setting a completion target for Fennimore staff.

What this part is doingStating the finding in plain words, with no interval or test named, is what makes the summary usable by a reader who will not open the full report.
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What the Numbers Mean in Exams

Overall, about 4.7 of every 100 Fennimore exams end unfinished, against about 3.6 at the hospital. Once we compare the same kinds of exams and patients, and set aside patients who reported claustrophobia, the difference shrinks to about one exam in a thousand, and it could be slightly in either direction. The real difference is concentrated in about 220 claustrophobic patients a year booked at Fennimore without medication, of whom roughly 46 do not finish. At the hospital, similar patients given medication finish about 95 times in 100. Offering them the same option would likely save around 35 exams a year, each one a delayed diagnosis and a second trip for the patient.

About 35 unfinished exams a year come from one booking decision, not from how Fennimore's technologists work.

What this part is doingConverting points into exams a year, and naming what each lost exam costs a patient, gives leaders a number they can weigh against the cost of acting.
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Three Things Not to Conclude

1. That Fennimore's technologists are less skilled. For patients who did not report claustrophobia, the two sites perform alike.

2. That the hospital provides better care. Its lower rate comes mainly from medication its patients can receive and Fennimore's cannot.

3. That Fennimore's shorter appointment slots are proven to cause unfinished exams. Slots may play a small part, but the evidence is too uncertain to justify changing the schedule on that basis alone.

Actions, Owners and Dates

1. Route patients who report claustrophobia at booking to the hospital unless they decline: imaging scheduling manager, by March 1.

2. Evaluate a nurse-supported medication option at Fennimore: imaging director with the radiology medical director, decision by June 30.

3. Ask the claustrophobia question at every referral clinic that books directly: imaging scheduling manager, by March 1.

4. Add a limited-study status and link same-day second slots in the radiology system: imaging informatics, by April 15.

5. Repeat the analysis on six months of new data: analytics team, by October 31.

Why It Matters

Claustrophobia is one of the commonest reasons MRI exams stop early (Munn et al., 2015), and it is most frequent in the brain and neck exams that make up a large share of Fennimore's work (Dewey et al., 2007). A routing change costs little and addresses the cause the data point to.

Figure

A single dot plot shows the two sites' rates for patients who did not report claustrophobia, nearly identical, beside the rates for those who did, with and without medication.

The full report, with methods, data checks and all results, accompanies this summary.

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References

Dewey, M., Schink, T., & Dewey, C. F. (2007). Claustrophobia during magnetic resonance imaging: Cohort study in over 55,000 patients. Journal of Magnetic Resonance Imaging, 26(5), 1322-1327. https://doi.org/10.1002/jmri.21147

Munn, Z., Moola, S., Lisy, K., Riitano, D., & Murphy, F. (2015). Claustrophobia in magnetic resonance imaging: A systematic review and meta-analysis. Radiography, 21(2), e59-e63. https://doi.org/10.1016/j.radi.2014.12.004

The Purdue Global HI560 Unit 9 instructions

The ninth unit usually asks for a one-page executive summary of your analysis for senior leaders. Expect a result, a recommendation, the minimum evidence needed to trust them, the decision implications and actions with owners. Put the result and the recommendation in the first two sentences. Translate statistics into units leaders use, such as exams or patients per year, and state uncertainty in plain words. Many instructors look for a section on what not to conclude, especially when leaders have already seen a misleading figure. Assign each action an owner and a date. Keep method names, test statistics and interval notation out of the body, and point to the full report instead.

How this HI560 Unit 9 example is built

The summary opens with two sentences stating the result and the recommendation. A section on what the numbers mean converts rates into exams, explains that the gap among unflagged patients is about one exam in a thousand, and estimates that around 35 exams a year could be saved, and the highlighted sentence attributes them to a booking decision. Three numbered points list what leaders should not conclude about staff skill, care quality or slot length. Five dated actions come next, every one assigned to a named role, beginning with routing and ending with a rerun. A short section explains why the issue matters, citing claustrophobia research. The page closes with a description of its single dot plot and a pointer to the full report.

Reading the HI560 Unit 9 grading rubric

Executive summaries are commonly scored on clarity, prioritization, translation of findings, actionability and professionalism. Clarity and prioritization carry the most points: the result and recommendation must appear first and be understandable without statistical training. Translation earns credit when numbers are expressed in units the reader cares about and uncertainty is stated in words. Actionability is judged on owners and dates. A section that heads off a likely misreading earns extra credit. One simple chart is acceptable if it carries a finding. Length discipline is part of the grade. Summaries that lead with methods, use jargon or run past a page tend to lose points, as do those whose actions carry no dates.

HI560 Unit 9 help: mistakes that cost points

The most frequent problem in executive summaries is burying the result after background and method. Another is leaving statistical terms in place, such as p-values or confidence intervals, without plain translation. Some students list recommendations with no owners. Uncertainty is often either ignored or overstated. Summaries sometimes repeat every finding from the full report. Charts with legends that need explaining slow the reader. One plot with a headline that states the finding is usually enough. If your audience is different, such as a board committee or a department manager, share your findings and the prompt, and a summary can be written for that reader.

Get an HI560 Unit 9 example written to your instructions

Name the reader of your Unit 9 summary and what that reader can decide, then attach the full analysis or its key results with the prompt and rubric. The free first sample comes back within 24-48h on one page, result first, uncertainty put in words that reader would use, and actions assigned to roles. 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 HI560 papers and MS in Health Informatics samples

HI560 Unit 9 questions, answered

How long should an executive summary be?

One page is the norm, occasionally two where the prompt allows it. Length matters less than order: finding and recommendation first, then only the evidence the reader needs to trust them. A summary that runs to three pages has usually kept the method section. Anything a reader could skip without changing the decision belongs in the full report.

Can an executive summary include a chart?

Yes, one simple chart often helps, provided it makes the main comparison visible at a glance and carries a headline stating the finding. Avoid charts that need a legend explained or an axis read carefully. The example uses a single dot plot of adjusted rates because that one picture carries the whole result for a busy reader.

Where can I find a free HI560 Unit 9 sample paper?

The complete Unit 9 summary is available on this page, one page with the result, exams saved per year, three cautions and five owned actions.

How do you explain uncertainty to executives without statistics?

State the range in their units, such as about one exam in a thousand either way, and say what it means for the decision, for example that no completion target is justified.

Why include a section on what not to conclude?

Leaders often see an early, misleading figure first. Naming the wrong conclusions directly keeps them from acting on the crude difference.