HIM 550 Module 10 Reflection Example

Reviewed by Delia Ravenscroft, MSN, RN

This HIM 550 Module 10 Reflection sample looks back on a data management course and asks how the writer's everyday practice changed. The entry was prepared for SNHU HIM 550 (HIM-550), whose closing module invites MS Health Information Management students to take stock of what they now do differently with data. The composite data manager at a 310-bed hospital in southern Louisiana admits to having built reports for years on a discharge timestamp that recorded paperwork, not patients leaving. The reflection names three habits the course built, questioning which event a field records, reading the warehouse load before trusting it and designing charts that cannot flatter a result, then describes the most difficult moment of the term, telling leaders that the number they had watched for two years was wrong, and what the writer will do next.

CourseHIM 550 Data Management and Data Quality
ModuleModule 10
Paper typegraduate reflection on learning to manage data and data quality
LengthAbout 350 words, 3 pages
FormatAPA 7 student paper
SchoolSouthern New Hampshire University
ProgramMS Health Information Management
UpdatedSeptember 2026

Free sample paper for HIM 550 Module 10

1

Module Ten Reflection

The Number Everyone Trusted

For two years I built the discharge-before-noon report that Cypress Hollow's leaders read every morning, and I never asked what the discharge time meant. It recorded when a clerk closed the encounter. That discovery in the first week of this course has shaped everything since, and it left me with three habits I did not have before.

What this page is doingThe reflection opens with the writer's own blind spot.
2

The first habit is asking which event a field records before using it. Wang and Strong (1996) showed that data consumers judge quality by whether data suit their task, and Hripcsak and Albers (2013) described record data as traces of the care process rather than direct measures of patients. Now, when someone asks me for a number, I find the workflow step that creates each field before I write a query. Last week that habit caught a transfer count built on the date a bed request was entered rather than the date the patient arrived, a smaller version of the same mistake.

The second is reading the load. I had treated the warehouse as the truth, when in fact it was a set of old scripts making decisions no one remembered, including turning blanks into Other. I now read transformation rules the way I used to read reports, and I keep a notebook of every rule I find until the dictionary catches up. So far it lists forty-one.

The third is designing charts that cannot flatter. Tufte (2001) warned against graphics whose visual differences exceed the data's, and I found that I had drawn one myself: a bar chart starting at 25% that made two close units look far apart. My charts now start at zero and show time.

What this page is doingThree habits are described with research that explains them.
3

The hardest part was not technical. Telling the chief nursing officer that her dashboard had understated morning discharges for two years felt like admitting failure, and it partly was. She took it better than I feared and asked for both numbers side by side. Next term I will lead the steward meetings, and I want to get better at delivering bad news about data early rather than after I am certain.

What this page is doingThe writer reflects on a difficult conversation and next steps.
4

References

Hripcsak, G., & Albers, D. J. (2013). Next-generation phenotyping of electronic health records. Journal of the American Medical Informatics Association, 20(1), 117-121. https://doi.org/10.1136/amiajnl-2012-001145

Tufte, E. R. (2001). The visual display of quantitative information (2nd ed.). Graphics Press.

Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5-33. https://doi.org/10.1080/07421222.1996.11518099

What the HIM 550 Module 10 instructions ask for

In the closing HIM 550 module, the prompt turns to how managing data and data quality changed your own practice. The reflection is personal and about a page long, with sources in APA 7 only where they explain a change in your thinking. Rather than summarizing each module, identify a few habits or beliefs that shifted, tie each to a specific moment in your project and explain why it matters in your work. Include something difficult, whether a conversation, a mistake you found in your own work or a limit you reached. Close with a concrete next step and a skill you still want to build.

How this HIM 550 Module 10 reflection example is built

Cypress Hollow's data manager starts from an uncomfortable fact: two years of a morning report built on an encounter close time. Three habits follow, each tied to a moment: tracing fields to the event they record, supported by Wang and Strong and by Hripcsak and Albers; reading warehouse transformation rules after finding blanks turned into Other; and drawing charts that start at zero after spotting a truncated axis the writer had made, in line with Tufte. The hardest moment, telling the chief nursing officer her dashboard was wrong, leads the HIM 550 reflection to leading steward meetings and to raising data problems earlier. A second catch, a transfer count built on request dates, shows the first habit already at work.

Where the HIM 550 Module 10 rubric puts the points

HIM 550 reflections tend to be graded on specific changes in practice rather than module summaries, honest self-assessment, research that explains a shift in thinking, attention to the human side of data work and a concrete plan for continued growth. Reflections that stand out admit an error in the writer's own earlier work and show how the course changed daily habits, not just knowledge. Graders reward candor about difficult conversations with leaders, because communicating data problems is a core part of the role. A clear next step, tied to a responsibility the writer is taking on, closes the entry better than a general promise to keep learning. Evidence that a new habit has already caught a problem is persuasive.

HIM 550 Module 10 help: the mistakes that cost points

Reflections for HIM 550 fall flat when they list what each module covered, praise the course, cite sources unconnected to any change or end with vague goals. Some writers also avoid admitting any mistake, which makes the growth hard to believe. If your prompt asks you to reflect on program outcomes, a specific competency or your career direction in data management, share it together with a few notes about your final project, and the reflection will be written from your own experience. Mention your current role so the next steps fit. HIM 550 reflections we write name real habits, own a mistake and end with a practical next step linked to the role they hold.

Get HIM 550 Module 10 written to your instructions

Send the HIM 550 Module 10 prompt with a few notes on your project and your role. You will receive a reflection built on specific habits that changed, honest about a mistake or hard conversation, supported by sources where they help and ending with a concrete next step, delivered within 24 to 48 hours, with your first request free. 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.

Request this module free All HIM 550 modules

More HIM 550 papers and related MS Health Information Management samples

HIM 550 Module 10 questions, answered

Where can I find a free HIM 550 Module 10 Reflection sample?

The full HIM 550 Module 10 reflection is on this page: three habits learned from managing a hospital's discharge data, and the hardest conversation.

What should a data management reflection focus on?

Specific habits you now follow with data, each linked to a moment from the term, instead of a module-by-module recap.

Is it acceptable to admit mistakes in a reflection?

Yes. Recognizing an error in your own earlier work shows genuine learning and makes the reflection credible.

Why include a difficult conversation in a reflection?

Communicating data problems to leaders is part of the job, and reflecting on it shows professional growth.

How should a reflection end?

With a concrete next step and a skill you plan to build, tied to your role.