HIM 690 Module 7 Recommendations Short Paper Example

Reviewed by Delia Ravenscroft, MSN, RN

This HIM 690 Module 7 Recommendations Short Paper sample shows how capstone findings become recommendations a hospital can act on. It was written for SNHU HIM 690 (HIM-690), where the seventh module has MS Health Information Management candidates translate results into practical recommendations with an implementation plan. The composite capstone at an academic hospital in Tulsa found that admission flags on pressure wounds were wrong in two of five charts, that a missing first-day skin and risk check more than tripled the odds of a wrong flag and that coders, with no way to ask nurses, defaulted to yes. The paper makes five recommendations, each tied to a specific finding, naming who leads it, what it costs and how it will be judged, and sequences them over six months so that early, visible gains build support for harder changes.

CourseHIM 690 Health Information Management Capstone
ModuleModule 7
Paper typegraduate capstone short paper turning findings into recommendations and an implementation plan
LengthAbout 1,040 words, 6 pages
FormatAPA 7 student paper
SchoolSouthern New Hampshire University
ProgramMS Health Information Management
UpdatedOctober 2026

Free sample paper for HIM 690 Module 7

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From Findings to Fixes: Recommendations and an Implementation Plan From the Cimarron Heights Flag Accuracy Capstone

[Student Name]

Southern New Hampshire University

HIM 690: Health Information Management Capstone

Module Seven Short Paper

[Instructor Name]

[Date]

The organization, setting and figures below are a composite written as a model document. No real employer, client, colleague or patient is described.

What this page is doingThe title marks the turn from evidence to action.
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From Findings to Fixes: Recommendations and an Implementation Plan From the Cimarron Heights Flag Accuracy Capstone

A capstone's results matter only if something changes because of them. The Cimarron Heights capstone produced three findings that point to action: pressure wound flags were wrong in about two of five records, mostly calling hospital-acquired wounds pre-existing; charts lacking a first-day skin and Braden check carried more than three times the adjusted odds of a wrong flag; and interviews showed coders defaulting to yes because they had no way to ask nurses and could not easily see nursing skin findings. This paper turns those findings into five recommendations and a plan to carry them out.

What this page is doingThe opening restates only the findings that drive action.
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Recommendation 1: Require the First-Day Check

The nursing admission note should not be signable until the structured skin inspection and Braden risk assessment are complete, as already happens on the one unit whose template requires it, where documentation reached 92% and disagreement was lowest. Braden scoring (Bergstrom et al., 1987) is already routine on every unit, so the change is to template logic, not to clinical practice. Owner: chief nursing officer, with the clinical informatics team. Cost: about 40 hours of build and testing time. Measure: share of admissions with a completed check within 24 hours, from 70% to at least 90% within three months.

What this page is doingThe recommendation copies what already works on one unit.
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Recommendation 2: Give Coders a Way to Ask Nurses

The query process should be extended so that coders can send a structured question about skin condition at admission to the admitting nurse or unit nurse manager, with a two-day response expectation. Owner: HIM director with the nurse managers. Cost: minor configuration of the existing query tool and a one-hour training session for each group. Measure: number of nurse queries sent and answered, and the share of wound flags supported by a documented nursing finding.

What this page is doingThe recommendation removes a barrier named in interviews.
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Recommendation 3: Replace the Yes Default

Coding policy should state that when no admission documentation supports a condition being present on arrival and no query has resolved it, the flag must reflect the documentation, which usually means a value of documentation insufficient or no rather than yes. Coders described choosing yes to avoid implying the hospital caused harm; the policy makes clear that accuracy, not reassurance, is the standard. Since present-on-admission values shape reported safety rates (Bahl et al., 2008), this policy will likely raise the hospital's reported pressure wound rate in the short term, and leaders must be told that in advance. Owner: coding manager, with compliance review. Cost: policy revision and training. Measure: share of wound flags with documented support at audit.

What this page is doingThe policy change is paired with an honest warning.
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Recommendation 4: Bring the Skin Findings to the Coder

The coding workspace should display the first-day nursing skin assessment alongside physician notes, so coders do not need to search a separate flowsheet. Owner: HIM director with clinical informatics. Cost: an estimated 60 hours of build time. Measure: coder-reported time to locate skin findings and the share of wound flags consistent with first-day documentation.

What this page is doingThe fix addresses where data live, not only what they say.
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Recommendation 5: Re-Audit Every Quarter

The abstraction tool and rules developed for the capstone should become a quarterly audit of 40 pressure wound records and 20 records for each of the other complications, using the same double-abstraction check. Kahn et al. (2016) describe data quality assessment as an ongoing practice of verification against rules and validation against references, and a repeated audit with the same method is what will show whether the changes worked. Owner: data integrity manager. Cost: about 50 hours of coder time per quarter. Measure: pressure wound flag agreement, from 61% toward at least 85% within a year.

What this page is doingThe capstone method becomes a lasting measure.
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Implementation Sequence

The order matters. Kotter (1995) found that change efforts lose momentum without short-term wins that people can see and that leaders should plan for those wins rather than hope for them. The fastest visible gain is the coding workspace view and the nurse query path, which coders asked for and which can be live within six weeks. The template requirement follows in month two, after nursing leaders review the one unit where it already works. The policy on defaults is issued in month three, together with a message to the quality committee explaining why the reported wound rate may rise. The first quarterly re-audit runs in month four, and its results are shared with the coders and nurses who made the changes.

Table 1. Implementation Timeline

MonthActionOwner
1Coding view of first-day skin findings; nurse query pathHIM director
2Required skin and risk check in admission templateChief nursing officer
3Coding policy on flags without documentation; briefing to quality committeeCoding manager
4First quarterly re-auditData integrity manager
5-6Adjustments based on re-audit; second briefingSteering group

Note. Costs are mostly staff time within existing budgets.

What this page is doingSequencing creates early wins before harder steps.
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What Was Not Recommended

Two tempting options were left out. The first was retraining every inpatient coder on present-on-admission rules. The model found no difference by coder experience, and interviews showed that coders knew the rules but lacked the information and the query path to apply them; training alone would have addressed a problem the evidence did not show. The second was asking wound care nurses to review every pressure wound flag before billing. It would likely improve accuracy, but it would add about 110 reviews a year to a team of three, and it patches the claim instead of fixing the missing first-day note that leaves coders guessing. If the re-audit shows that the five recommendations are not enough, a targeted review of facility admissions with wounds could be added later.

What this page is doingRejected options show the recommendations were chosen deliberately.
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Risks

The main risk is that a rising reported wound rate is read as worse care rather than better data. Leaders will be briefed before the policy change, and the quality committee will see accuracy and rate side by side. A second risk is alert fatigue if the template requirement is seen as one more hard stop; nurses from the unit that already uses it will be asked to describe how it fits their workflow.

What this page is doingRisks are anticipated with responses.
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Conclusion

Each recommendation answers a finding: the check answers the documentation gap, the query path and coding view answer the coders' blind spot, the policy answers the default and the re-audit answers the question of whether any of it worked. The plan asks for little money and a great deal of coordination, which is the kind of change health information management is positioned to lead.

What this page is doingThe close maps recommendations to findings.
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References

Bahl, V., Thompson, M. A., Kau, T.-Y., Hu, H. M., & Campbell, D. A. (2008). Do the AHRQ patient safety indicators flag conditions that are present at the time of hospital admission? Medical Care, 46(5), 516-522. https://doi.org/10.1097/MLR.0b013e31815f537f

Bergstrom, N., Braden, B. J., Laguzza, A., & Holman, V. (1987). The Braden Scale for predicting pressure sore risk. Nursing Research, 36(4), 205-210. https://doi.org/10.1097/00006199-198707000-00002

Kahn, M. G., Callahan, T. J., Barnard, J., Bauck, A. E., Brown, J., Davidson, B. N., Estiri, H., Goerg, C., Holve, E., Johnson, S. G., Liaw, S.-T., Hamilton-Lopez, M., Meeker, D., Ong, T. C., Ryan, P., Shang, N., Weiskopf, N. G., Weng, C., Zozus, M. N., & Schilling, L. (2016). A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data. eGEMs, 4(1), Article 1244. https://doi.org/10.13063/2327-9214.1244

Kotter, J. P. (1995). Leading change: Why transformation efforts fail. Harvard Business Review, 73(2), 59-67.

What the HIM 690 Module 7 instructions ask for

The HIM 690 Module Seven short paper turns your capstone findings into recommendations and an implementation plan, usually in three to five pages of APA 7. Restate only the findings that call for action. For each recommendation, explain which finding it answers, what will change, who owns it, what it will cost in money or time and how success will be measured. Prefer changes that build on what already works in your setting. Anticipate side effects, such as a measure that will look worse when data improve, and say how leaders will be prepared. Sequence the recommendations with a timeline that produces early visible gains, and close by linking each recommendation back to its finding.

How this HIM 690 Module 7 recommendations short paper example is built

Cimarron Heights Medical Center's paper restates three findings, then makes five recommendations. A required first-day skin and Braden check copies the one unit already at 92%, drawing on Bergstrom and colleagues. A nurse query path and a coding-workspace view of skin findings answer the coders' blind spot. A policy replacing the yes default is paired with a warning, grounded in Bahl and colleagues, that reported wound rates may rise. Quarterly re-audits follow Kahn and colleagues' view of ongoing quality assessment. Kotter's advice on short-term wins orders Table 1, with the coder tools live in six weeks. The HIM 690 paper closes by mapping each recommendation to its finding.

Where the HIM 690 Module 7 rubric puts the points

HIM 690 recommendation papers are generally graded on recommendations that follow directly from findings, specificity about what will change, named owners, realistic costs, measurable targets, anticipation of side effects and a sequenced plan. Papers that score highest prefer modest, proven changes over ambitious ones and explain why the order of steps matters. Graders value candor about how improvements may temporarily worsen reported measures. Clear links between each recommendation and the evidence, a readable timeline and correct APA 7 citations complete the stronger submissions. Recommendations that could have been written without the study earn little credit. Plans that name the first week's actions show readiness to start.

HIM 690 Module 7 help: the mistakes that cost points

Recommendation papers in this course lose credit by offering generic advice such as more training, proposing changes unrelated to the findings, leaving out owners or costs, ignoring side effects or listing actions without an order. Others promise targets with no measurement plan. If your capstone produced different findings, for example about release-of-information turnaround, coding productivity or data governance, send your results and the guidelines so the recommendations answer your own evidence. Knowing who has authority over each process in your organization helps assign owners. Our HIM 690 recommendation papers tie every action to a finding and give it an owner, a cost and a measure. A rough cost range is enough.

Get HIM 690 Module 7 written to your instructions

Send the HIM 690 Module 7 prompt with your capstone findings and any information on who owns the processes involved. The paper will turn findings into specific recommendations with owners, costs and measures, anticipate side effects and sequence the work for early gains, delivered within two days at no charge the first time. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.

More HIM 690 papers and related MS Health Information Management samples

HIM 690 Module 7 questions, answered

Where can I find a free HIM 690 Module 7 Recommendations Short Paper sample?

This page carries the full HIM 690 Module 7 paper, turning flag accuracy findings into five recommendations with owners, costs, measures and a six-month timeline.

How should capstone recommendations be written?

Each should answer a specific finding and state what will change, who owns it, what it costs and how success will be measured.

Why sequence recommendations?

Early, visible gains build support for harder changes, and some steps depend on others being in place first.

Can improving data make a measure look worse?

Yes. Correcting over-reported flags, for example, can raise a reported complication rate, so leaders should be briefed in advance.

How do you show a recommendation worked?

Repeat the same measurement method used in the capstone after the change, such as a quarterly audit with the same rules and reliability checks.