| Course | NR 588AI Advanced Nursing Leadership in Artificial Intelligence-Integrated Complex Systems |
|---|---|
| Week | 3 |
| Paper type | Vendor evaluation memo |
| Length | About 820 words, 2 pages |
| Format | Memo with APA 7 citations |
| School | Chamberlain University |
| Program | MSN, Nurse Executive |
| Updated | October 2026 |
Free sample paper for NR 588AI Week 3
Memorandum
To: Vice President of Supply Chain
From: System Director of Nursing Quality
Date: 4 November 2026
Re: Recommendation to sign the readmission risk model agreement only with four conditions and a 12-month exit
What I Am Asking You to Decide
Sign the three-year agreement for the readmission risk model only if four conditions below are written into it, and only with a right to end it at 12 months without penalty. If the vendor will not accept the conditions, do not sign.
Interests
My department, nursing quality, would gain review duties under this agreement but no staff or budget. The care management vice president, who proposed the tool, would gain an automated list that saves discharge nurses about 20 minutes a day each. One member of the governance committee previously consulted for the vendor and stepped out of the committee's vote. I attended a vendor demonstration at which lunch was provided.
Claimed, Evidenced, Verified
Claimed by the vendor, without supporting data provided to us: that the model "reduces readmissions by 15%," and that it is "free from bias." Neither claim is supported by anything we have seen. A model that ranks patients cannot reduce readmissions on its own; what reduces them is the care given to the patients it selects.
Evidenced by the vendor: a white paper reporting an area under the curve of 0.74 at two health systems. The white paper is not peer reviewed, does not give results by patient group and does not describe the systems' populations.
Verified by us: our analytics team ran the model silently on 36,400 adult discharges from 2025. Its area under the curve was 0.69, lower than the vendor's figure but in the range reported for readmission models generally (Kansagara et al., 2011). At our list size of 20%, it selected 41% of patients who were later readmitted, compared with 33% selected by our current criteria at the same list size. That is a real improvement, and it is the basis for my recommendation.
Not yet verified: how the model performs for different patient groups in our population. Our bias and equity review is underway and due in January.
The Conditions
1. Subgroup reporting. The vendor provides, each quarter, model performance by race, ethnicity, language preference, age band, payer and hospital, using our data. Owner: Vice President of Supply Chain, in the contract. Date: before signature.
2. Change notice. The vendor tells us in writing, two months ahead, before altering the model, the data it draws on or what it is meant for. Owner: Legal Counsel. Date: before signature.
3. Data access. Our analytics team may extract scores and inputs at any time at no extra cost. Owner: Legal Counsel. Date: before signature.
4. Claims withdrawn. The vendor removes the claims of a 15% reduction and freedom from bias from any material given to our staff. Owner: Vice President of Care Management. Date: before go-live training.
Draft the Exit
Term: three years, with a right for us to end the agreement at 12 months, or at any time with 90 days' notice if a condition is breached.
On ending: the vendor returns or destroys our data within 30 days and certifies it in writing; no fee is due beyond the current quarter.
No automatic renewal: the agreement ends at three years unless both parties sign a renewal.
Why Not Decline
Our silent run shows the model selects more of the patients who will be readmitted than our current criteria do. Declining would keep a selection method that misses more of them. The equity question is unresolved, but the conditions above give us the means to find out and the exit to act on what we find.
Why Not Sign Without Conditions
Without subgroup reporting, we could not see whether the model serves some patients worse, as a widely used care management algorithm did (Obermeyer et al., 2019). Without change notice, a retrained model could replace the one we tested. Without the exit, a finding of harm would leave us bound for three years.
What Our Staff Need From the Agreement
Discharge nurses need the vendor's material to describe the model accurately, which is why condition 4 matters. If training repeats the vendor's claims, nurses may trust the list more than it deserves. Char et al. (2018) warn that the purposes of those who sell clinical models can differ from those of the clinicians who use them; withdrawing unsupported claims is a small protection against that.
Cost
The quoted price is about $140,000 a year, $420,000 over three years. The 12-month exit limits our commitment to about $140,000 if the model fails our review.
Next Step
I have shared this memo with the vice president of care management, who supports the conditions. The legal team has drafted the four conditions. I can meet with you and counsel on 10 November to review them before they go to the vendor.
References
Char, D. S., Shah, N. H., & Magnus, D. (2018). Implementing machine learning in health care: Addressing ethical challenges. New England Journal of Medicine, 378(11), 981-983. https://doi.org/10.1056/NEJMp1714229
Kansagara, D., Englander, H., Salanitro, A., Kagen, D., Theobald, C., Freeman, M., & Kripalani, S. (2011). Risk prediction models for hospital readmission: A systematic review. JAMA, 306(15), 1688-1698. https://doi.org/10.1001/jama.2011.1515
Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453. https://doi.org/10.1126/science.aax2342
What the NR 588AI Week 3 assignment asks for
The Week 3 memo is a recommendation to a signatory, not a review of software. Open with what you want decided. Then separate three things students often merge: what the supplier states, what the supplier has evidenced and what your organization has verified for itself. What survives that sorting becomes the basis of the recommendation, and much of the rest becomes a condition in the agreement. Declare interests near the top. Give each condition a date and an owner. Draft the exit. Most rubrics mark down a memo that reads as a product review, a supplier's figure repeated later as fact and conditions with no owner or date.
Inside the NR 588AI Week 3 example
The sample asks the supply chain vice president to sign only with four conditions and a 12-month exit. Interests are declared, including a committee member's past consulting and the writer's own lunch at a demonstration. Claims of a 15% reduction and freedom from bias are set apart as unsupported. A white paper's figure is labeled as evidence the vendor supplied. The system's own silent run shows a lower area under the curve but better capture than current criteria. Four conditions follow with owners and dates. Exit terms, reasons not to decline or sign unconditionally, staff needs, cost and a meeting date close it. A note beside each section explains the credit the three-way sort and the conditions earn.
Where the points sit in the NR 588AI Week 3 rubric
Nothing costs more than a memo reading as a software review when its reader is about to sign a contract; this memo asks for a signing decision. A supplier's figure repeated as fact costs the next share, so every figure is labeled claimed, evidenced or verified. Conditions without owners or dates lose a row, while each condition here has both. Undeclared interests undermine trust, and four are declared at the top. A missing exit leaves the organization bound, and this memo drafts one. Weighing declining and unconditional signing earns credit for a real comparison. Explaining what discharge nurses need from the agreement ties the contract to the people who will use the tool.
NR 588AI Week 3 help from the desk
Weak NR 588AI Week 3 memos describe the product's features and the vendor's claims. Others repeat the vendor's accuracy figure as if it had been checked. Many propose conditions without saying who will secure them or when. Interests are rarely declared. Exit terms are usually missing. Write to the signatory, sort every claim into stated, evidenced and verified, and turn the gaps into conditions with owners and dates. Then draft how the organization could leave. If your vendor differs, send its claims and any local testing, and a sample memo can sort them the same way. Declare your own interests, even small ones.
Get a NR 588AI Week 3 example written to your instructions
Send the prompt, the rubric and any supplier material your section supplied, and a custom NR 588AI Week 3 memo comes back inside 24-48h, the first one free. Do not send your organization's actual agreement or procurement file; those belong to the people who drafted them, and a worked memo carries perfectly well on published or constructed material.
More NR 588AI papers and MSN samples
- NR 588AI Week 1: Delegating to Software Post
- NR 588AI Week 2: Technology Governance Brief
- NR 588AI Week 4: Bias and Equity Review
- NR 588AI Week 5: Oversight Plan
- NR 588AI Week 6: Override Policy Draft
- NR 588AI Week 7: Accountability Case Analysis
- NR 588AI Week 8: Executive Briefing
- NR 588 Week 3: Alignment Memo
- NR 587AI Week 3: Training Data Critique
- NR 587 Week 3: Engagement Data Analysis
- NR 562 Week 3: Unintended Consequence Analysis
NR 588AI Week 3 questions, answered
Do I have to use a real product?
Either works and the classroom usually says which. A real one requires that every claim about it be attributed to something published, since asserting a commercial product's performance in your own voice is exactly the habit this week exists to break. A constructed tool avoids that and costs you nothing, provided you describe it tightly: what it predicts, for whom, how the output reaches somebody, and what it would replace.
I am not senior enough to see an agreement. Does that sink the memo?
No, and saying so inside the memo is better than pretending otherwise. Write the terms you would want included and mark them as proposed rather than as reviewed. Executives commission this document precisely because they will not read the small print themselves either, and a memo naming what it could not see reads as more reliable than one quietly leaving the gap out.
Does declaring an interest not read as an accusation?
Only where it is written as one. The convention is neutral and dull on purpose: state the relationship, state what the person did about it, and move on. A clinician who sits on a supplier's advisory group and left the room for the vote has behaved correctly, and the memo recording that protects both the decision and the person. What damages a decision later is the relationship nobody wrote down.
Where can I find a free NR 588AI Week 3 sample paper?
The full vendor evaluation memo sorting a readmission model's claims into claimed, evidenced and verified is on this page.
What did the system verify in the NR 588AI Week 3 memo?
A silent run on 36,400 discharges found the model selected 41% of patients later readmitted, against 33% for the current criteria at the same list size.