| Course | HI501 Health Informatics |
|---|---|
| Unit | Unit 4 |
| Paper type | Decision support rule design |
| Length | About 880 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | MS in Health Informatics |
| Updated | October 2026 |
Free sample paper for HI501 Unit 4
Metformin and a Falling eGFR: A Unit 4 Decision Support Rule Design Tested Against Thirty Days of Orders and Cut From 212 Interruptions to 27
[Student Name]
Purdue University Global
HI501: Health Informatics
Unit 4 Decision Support Rule Design
[Instructor Name]
[Date]
Harlow Ridge Health, its orders and its counts are composite; the safety communication and studies cited are real.
Problem
Metformin is the most common first medicine for type 2 diabetes, and it is cleared by the kidneys. Federal labeling, revised in 2016, says it should not be used when the estimated glomerular filtration rate (eGFR) is below 30, should not be started when eGFR is between 30 and 45, and should be paused around iodinated contrast imaging in patients with an eGFR between 30 and 60 (U.S. Food and Drug Administration [FDA], 2016). A systematic review supported that more permissive approach, finding that the risk of lactic acidosis in patients with mild to moderate kidney disease was low (Inzucchi et al., 2014). At Harlow Ridge, inpatient pharmacists catch problem orders by scanning a daily report, which misses orders placed after it runs and patients whose kidney function falls during the stay.
Draft Specification
1. Rule name: Metformin and kidney function.
2. Purpose: prevent metformin use below eGFR 30, avoid new starts between 30 and 45, and pause metformin around contrast imaging between 30 and 60.
3. Triggers: signing a new metformin order, or a new eGFR result posting for a patient with an active metformin order, or a contrast imaging order for a patient with an active metformin order.
4. Data inputs: the most recent eGFR within 90 days, the active medication list, imaging orders and the dialysis flag.
5. Logic: compare the latest eGFR with 30, 45 and 60 according to the trigger.
6. Exclusions: patients flagged as on comfort-focused care; orders already marked for discontinuation.
7. Recipient: the ordering prescriber.
8. Format: interruptive alert at signing or on result posting.
9. Action offered: discontinue metformin in one click.
10. Override reasons: eGFR value believed erroneous; benefit outweighs risk per nephrology; patient on dialysis and order intended to stop; other, with text.
11. Owner: Pharmacy and Therapeutics Committee, reviewed every six months.
Retrospective Run
The draft logic was run against 30 days of composite past orders and results without firing anything. It would have fired 212 times:
1. New metformin order, latest eGFR below 30: 9 firings.
2. Active order, new eGFR result below 30 during the stay: 14 firings.
3. Active order continued, latest eGFR between 30 and 45: 121 firings.
4. New metformin order, latest eGFR between 30 and 45: 18 firings.
5. Contrast imaging ordered, active metformin, eGFR between 30 and 60: 50 firings.
More than half of the draft rule's firings, 121 of 212, would have interrupted prescribers about patients for whom the labeling allows metformin to continue.
Redesign
The first version of any rule tends to fire too often, and the remedy is to match each scenario to the right person, time and format, the core of effective decision support (Bates et al., 2003).
1. Scenario 1, new order with eGFR below 30: interruptive alert to the prescriber at signing, with discontinuation offered in one click. Expected about 9 a month.
2. Scenario 4, new start with eGFR between 30 and 45: interruptive alert at signing, since starting is not recommended in this range. Expected about 18 a month.
3. Scenario 2, eGFR falls below 30 during the stay: no interruption for the prescriber, who may not be in the chart; instead a task goes to the unit pharmacist's queue, who contacts the team. About 14 a month.
4. Scenario 3, continued therapy with eGFR between 30 and 45: no alert at all. The order screen and the medication list display the latest eGFR beside the metformin line, so anyone reviewing the order sees it.
5. Scenario 5, contrast imaging: a pharmacist task tied to the imaging order, prompting a hold order at the time of the study and an eGFR recheck at 48 hours. About 50 a month.
Interruptive firings fall from 212 to about 27 a month. The rest of the work moves to pharmacists, who already perform this check by hand, or becomes passive information on the screen.
Measures After Go-Live
1. Interruptive firings per month, expected about 27.
2. Override rate for each interruptive scenario, with a review if it exceeds 50 percent.
3. Pharmacist task completion within four hours.
4. Patients receiving metformin with a current eGFR below 30, measured from administration records, the outcome the rule exists to reduce.
Why Not a Hard Stop
A hard stop that blocks signing below eGFR 30 was considered and rejected. eGFR values can be wrong or outdated, and a patient whose kidney injury is resolving may be safe to resume metformin within days. A strong interruptive alert with a one-click discontinue action, plus required override reasons, keeps the decision with the prescriber while making the safe choice the easiest one. The override reasons are not a formality: they become the review material for the Pharmacy and Therapeutics Committee every six months, and a cluster of overrides citing an erroneous eGFR, for example, would point to a laboratory or interface problem rather than a prescribing one.
References
Bates, D. W., Kuperman, G. J., Wang, S., Gandhi, T., Kittler, A., Volk, L., Spurr, C., Khorasani, R., Tanasijevic, M., & Middleton, B. (2003). Ten commandments for effective clinical decision support: Making the practice of evidence-based medicine a reality. Journal of the American Medical Informatics Association, 10(6), 523-530. https://doi.org/10.1197/jamia.M1370
Inzucchi, S. E., Lipska, K. J., Mayo, H., Bailey, C. J., & McGuire, D. K. (2014). Metformin in patients with type 2 diabetes and kidney disease: A systematic review. JAMA, 312(24), 2668-2675. https://doi.org/10.1001/jama.2014.15298
U.S. Food and Drug Administration. (2016). FDA drug safety communication: FDA revises warnings regarding use of the diabetes medicine metformin in certain patients with reduced kidney function.
HI501 Unit 4 instructions, in plain terms
Unit 4 commonly asks you to design one clinical decision support rule in enough detail that an analyst could build it. Expect a specification covering purpose, triggers, data inputs, logic, exclusions, recipient, format, actions and override reasons, plus an owner. Many prompts ask you to estimate how often the rule would fire, ideally by applying it to past data, and to adjust the design to reduce unnecessary interruptions. You should justify the thresholds with a clinical source and explain your choice of recipient and format for each scenario. Measures for after go-live, including override rates and the clinical outcome the rule targets, are usually required. Cite a decision support design source and the clinical guidance behind the rule. Tables or numbered specifications both work; keep the patients and counts composite.
Inside the HI501 Unit 4 example
A problem paragraph sets out the labeling thresholds, a review supporting them and the manual pharmacist check the rule replaces. An eleven-item draft specification follows. The retrospective run sorts 212 firings into five scenarios, and the highlighted sentence notes that more than half concern patients who may continue the drug. The redesign assigns each scenario its own recipient and format: interruptive alerts for two, pharmacist tasks for two and a passive display for the largest group. Interruptions fall to about 27 a month. Four measures are defined for after go-live, from interruptive firings to patients receiving metformin below the safe threshold. A final section explains why a hard stop was rejected and how override reasons will feed the committee's six-month review.
HI501 Unit 4 rubric: what earns full points
Rule design assignments are usually graded on the completeness of the specification, clinical accuracy, the firing estimate, the design rationale and measures. Specification points require every field to be filled in a way an analyst could build. Clinical accuracy depends on thresholds that match current guidance, with a citation. The firing estimate carries a sizable share because it shows whether the rule would help or overwhelm. The design rationale tends to separate strong papers from average ones: graders reward matching each scenario to the right person, time and format, rather than interrupting the prescriber for everything. Students lose points for rules with no exclusions or override reasons. Measures should include override rates and the outcome the rule exists to change. Clear tables and APA citations account for the rest.
Common HI501 Unit 4 mistakes, and how to avoid them
The most frequent error in Unit 4 is a rule that interrupts the prescriber for every scenario, which reviewers recognize as a recipe for alert fatigue. Another is skipping the firing estimate, so nobody knows whether the rule would fire ten times a month or a thousand. Some designs use outdated thresholds, such as creatinine cutoffs the labeling no longer uses. Override reasons are often left out or written so vaguely they mean nothing. Many students propose a hard stop without considering wrong or outdated lab values. Measures that track only firings, not outcomes, miss the purpose. If you are designing a rule of your own, describe the clinical risk, the data available and any past orders you can use, and the specification can be drafted and tested scenario by scenario.
Get an HI501 Unit 4 example written to your instructions
Whatever the Unit 4 prompt targets, a drug limit, a screening reminder or a lab follow-up, send it with the rubric and whatever order data or scenario comes with it. The rule is specified in full, its firings estimated from that material, and the Five Rights mapped. A first custom sample, returned within 24-48h, is provided without charge. 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 HI501 papers and MS in Health Informatics samples
- HI501 Unit 1: Discussion Post
- HI501 Unit 2: Capture Workflow Analysis
- HI501 Unit 3: Structured Data Memo
- HI501 Unit 5: Usability Walkthrough
- HI501 Unit 6: Adoption Evaluation
- HI501 Unit 7: Workflow Redesign Proposal
- HI501 Unit 8: Patient Engagement Analysis
- HI501 Unit 9: Seminar Reflection
- HI501 Unit 10: Informatics Project Brief
HI501 Unit 4 questions, answered
Where can I find a free HI501 Unit 4 sample paper?
The full Unit 4 rule design sits here, testing a metformin and eGFR rule against thirty days of orders.
What eGFR thresholds apply to metformin?
Under 2016 labeling, do not use below 30, do not start between 30 and 45, and pause around iodinated contrast between 30 and 60.
How do you estimate how often a rule will fire?
Run its logic against past orders and results without firing anything, then sort the firings by scenario, as the sample does.
Why did the sample send some cases to pharmacists?
A falling eGFR during a stay or a contrast study is better handled by the pharmacist reviewing labs daily than by an interruption at signing.
Should a decision support rule use a hard stop?
Rarely. The sample rejects one because lab values can be wrong or outdated, and uses a strong alert with a one-click discontinue action instead.