| Course | NU710 Advanced Health Information and Technologies |
|---|---|
| Unit | Unit 10 |
| Paper type | E-health tool proposal |
| Length | About 1,200 words, 7 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | Doctor of Nursing Practice (DNP) |
| Updated | October 2026 |
Free sample paper for NU710 Unit 10
Three Texts and a Nurse Who Calls Back: A Unit 10 Proposal for Two-Way Text Follow-Up After Discharge on New Insulin
[Student Name]
Purdue University Global
NU710: Advanced Health Information and Technologies
Unit 10 E-Health Tool Proposal
[Instructor Name]
[Date]
The hospital, the tool's design, costs and figures are composite and illustrative; the studies cited are real.
The Need
The bundle's 72-hour contact was designed as a call from the diabetes educator or a trained nurse. On the four bundle units it reaches most patients now, but the spread plan will add six units and roughly triple the number of patients starting insulin who leave each week. A second educator has been requested but is not funded. Without a change, either calls will be rationed by a risk score, which the Unit 3 evaluation showed misses many of the patients who return, or the contact will quietly stop for most patients.
Most problems after discharge on new insulin fall into a few categories: a low glucose, a missed or doubled dose, trouble with the pen or supplies and inability to get a refill. A short set of questions can find them, and only the patients with a problem need a nurse's time.
Evidence for Text Messaging
Arambepola et al. (2016) reviewed 15 controlled trials of brief automated messages for people with type 2 diabetes, 12 delivered by text. Across 13 trials with data, intervention groups had A1C about half a percentage point lower than usual care. Messages that only went one way produced effects similar to those that asked patients to reply. Those trials aimed at lifestyle change over months, not safety in the first week, so they show that patients accept and respond to brief messages more than they show the tool will prevent readmissions. The proposal therefore treats the texts as a way to find patients in trouble quickly, and measures that directly.
The Tool
Patients starting insulin are offered enrollment during discharge teaching. On days one, three and seven after discharge, at a time the patient chooses, the system sends three questions in the patient's language, with reply options by number:
1. "Have you had a sugar under 70 or felt shaky, sweaty or confused since you got home? 1 yes, 2 no."
2. "Have you taken your insulin as your plan says? 1 yes, 2 missed a dose, 3 not sure of the dose."
3. "Do you have enough insulin and pen needles for the next week? 1 yes, 2 no."
Any answer other than the safe one, or no reply within six hours, sends an alert to a nurse's work queue, and a nurse calls the patient the same day. Patients can also text "CALL" at any time to request a call. Messages never ask for or display more than the patient's first name.
The texts do not replace the nurse; they decide which patients the nurse should call today.
Who the Tool Must Not Leave Out
Not every patient texts. Older patients, patients with low literacy, patients without a phone of their own and patients from Old Order Amish families the hospital serves would be poorly served by a text-only tool. The proposal keeps three alternatives: an automated voice call with the same three questions answered by keypad, a scheduled nurse call for patients who prefer one and the community-telephone route the hospital already uses for Amish patients. Messages will be available in English, Spanish and Marshallese at launch, written and tested with patients from each group.
Fit With Nursing Work
Bail et al. (2021), in a Delphi study with 29 nursing informatics experts, developed ten statements to guide nurse leaders implementing e-health tools in hospitals, built around the interactions among clinicians, tools, patients and the organization. Four shape this proposal. The tool must support existing nursing work rather than add parallel work, so alerts arrive in the same queue nurses already use for call-backs. Nurses must be involved in design, so the questions were drafted with the four bundle units' champions. Patients must be considered as users, so the wording was tested with the advisory council. And the organization must commit to sustaining the tool, so the proposal includes ongoing costs and an owner.
Privacy and Security
Text messages travel over networks the hospital does not control. The messages will contain no diagnosis, medication name or record number, and replies will be numbers only. A business associate agreement will bind the vendor to keep data on servers in the United States and delete message content after 90 days, with the structured answers kept in the record. Abuhammad (2025) argues that nurses act as custodians of patient information in technology-driven care and need training and institutional support to protect it; the nurses who answer alerts will receive a short module on what can and cannot be discussed by text.
Implementation
The tool will start on the two pilot units for eight weeks, then the other two bundle units, then follow the spread plan. Enrollment will be offered by the nurse who does the return demonstration. The educator and two trained nurses will answer alerts during the day; alerts after 1700 roll to the next morning unless the patient texts "CALL," which reaches the house supervisor.
What Could Go Wrong
Three failure modes are foreseeable. Patients may stop replying after day one, leaving the nurse with a queue of non-responses to chase; the six-hour rule will be reviewed after the first month. A patient may answer "no" to a low because they did not recognize one; teaching will include what a low feels like, and the day-three text will repeat the symptoms. And nurses may come to rely on the texts and stop asking at discharge whether a patient has a way to reach the unit. The pilot will watch for each.
Costs
The vendor's quoted cost is about $1.10 per enrolled patient per message series plus a $9,000 yearly platform fee. For about 600 patients a year, the total is about $9,700 a year, plus translation and testing of messages, about $4,000 once. That is roughly a tenth of the cost of a second educator, though it does not replace the need for one as volumes grow.
Measures
1. Enrollment among eligible patients, target 70 percent.
2. Response rate to day-one messages, target 75 percent.
3. Share of patients with a problem identified by day three, and time from alert to nurse call, target the same day.
4. The proportion of enrolled patients back in the hospital or emergency department with a high or low glucose within a month, compared with the units' prior six months.
5. Balancing measure: nurse time spent on alerts per week.
6. Equity measure: enrollment and response rates by language, age group and insurance.
Conclusion
A two-way text follow-up with three questions on days one, three and seven would let a small team reach every patient starting insulin and spend its calls on the ones with a problem. Keeping voice and community-telephone routes, building the tool into existing nursing work, protecting privacy and measuring by group would keep it from widening the gaps the bundle was built to close.
References
Abuhammad, S. (2025). Strengthening ethical practices of patient data confidentiality and sharing among nurses in the artificial intelligence-driven healthcare era. Sage Open Nursing, 11, 23779608251398113. https://doi.org/10.1177/23779608251398113
Arambepola, C., Ricci-Cabello, I., Manikavasagam, P., Roberts, N., French, D. P., & Farmer, A. (2016). The impact of automated brief messages promoting lifestyle changes delivered via mobile devices to people with type 2 diabetes: A systematic literature review and meta-analysis of controlled trials. Journal of Medical Internet Research, 18(4), e86. https://doi.org/10.2196/jmir.5425
Bail, K., Merrick, E., Fox, A., Gibson, J., Hind, A., Moss, C., Strickland, K., & Redley, B. (2021). Ten statements to support nurse leaders implement e-health tools for nursing work in hospitals: A modified Delphi study. Journal of Clinical Nursing, 30(9-10), 1442-1454. https://doi.org/10.1111/jocn.15695
Reading the NU 710 Unit 10 instructions
The final NU710 unit asks students to propose an e-health tool that would support patients or nursing work. Prompts generally require the need, the users, the tool's design, evidence that tools of this kind work, fit with workflow, privacy and security, implementation, costs and measures. Instructors look for a need that can be counted and a design matched to it, not a technology looking for a problem. Equity is increasingly expected, so a proposal should say how patients without smartphones, with low literacy or who speak other languages will be served. Evidence should be read for what it actually shows, which may differ from the proposal's purpose. Guidance for nurse leaders implementing e-health tools is a natural source, and a pilot with defined measures shows the proposal can be tested before it grows.
Inside the NU710 Unit 10 example
The proposal counts the gap between calls available and patients discharged, and lists the problems that follow discharge on new insulin. Arambepola's review is read carefully: texts improved A1C in lifestyle trials, so the proposal treats them as a way to find patients in trouble. The tool section gives the three questions verbatim, the escalation rule and a CALL option, under a highlighted line that the texts decide whom to call, with a margin note. The next section, on patients the texts could miss, adds voice, scheduled and community-telephone routes and three languages. Bail's statements shape fit with nursing work. Privacy rules, implementation, failure modes, costs and six measures, with a second note on equity, complete the proposal.
NU710 Unit 10 rubric: what earns full points
Proposals in this unit are graded first on whether the need is real and measured, then on whether the design answers it. Evidence earns credit when it is interpreted accurately for the proposal's purpose. Fit with nursing workflow is often a distinct criterion, and alerts that arrive in an existing queue score better than a new system to watch. Equity and access are expected, and alternatives for patients who cannot use the tool earn marks. Privacy and security must be specific. Costs should be stated with their basis. Measures, including a balancing measure for nurse time and an equity measure, show the proposal can be evaluated. Organization, sources on e-health implementation and APA 7 complete the NU710 rubric.
NU710 Unit 10 help from the desk
E-health proposals lose points most often by describing an app's features without showing a counted need. Another common problem is citing evidence for a different outcome, such as long-term A1C, as if it proved short-term safety. Some proposals forget patients without smartphones or in other languages, which widens gaps. Others add alerts nobody is assigned to answer, or omit ongoing costs. Privacy is often handled with a single sentence. Proposals also fall short when they never say what would count as success. Start by counting how many patients your current follow-up misses in a week and what problems they report later. A custom proposal can be built around the follow-up gap in your own project.
Get an NU710 Unit 10 example written to your instructions
Send the tool idea, the patients and nurses involved and the proposal instructions with the rubric. A custom proposal sets out the need, design, implementation, governance and evaluation. The first one is free and comes back within 24-48h. 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.
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NU710 Unit 10 questions, answered
What is an e-health tool?
A digital tool used to support health care, such as patient messaging, remote monitoring, apps or telehealth platforms.
What should a proposal for an e-health tool include?
The need, the users, how it fits workflow, privacy and security, implementation, costs and how success will be measured.
How should a proposal address patients without smartphones?
By including an alternative route, so the tool does not widen gaps in access.
Where can I find a free NU710 Unit 10 sample paper?
The full NU710 Unit 10 e-health tool proposal appears on this page: two-way text follow-up after discharge on new insulin, with the questions, escalation, alternatives for non-texters, costs and measures.
What happens if a patient does not reply in the NU710 Unit 10 sample?
No reply within six hours sends an alert to a nurse's work queue, and a nurse calls the patient the same day, the same as for a worrying answer.