| Course | NURS 718 Informatics, Technology and Trends for Transforming Health Care (NURS718) |
|---|---|
| Module/Week | 6 |
| Assignment | HMIS Project Part 1 on the Vision and Goals of a Health Information System |
| Paper type | HMIS project introduction (5 to 7 pages) |
| Length | about 1,720 words, 6 double-spaced pages plus title page and references. Course guide: 5 to 7 pages in current APA format, excluding the title and reference pages, using the Tan and Payton textbook and at least three other scholarly sources |
| Format | APA 7 student paper |
| Points | 100 |
| School | Liberty University Online |
| Program | DNP |
| Where it sits | Module/Week 6 in Liberty's published NURS 718 course guide; current sections can differ |
| Updated | October 2026 |
Free sample paper for NURS 718 Week 6
HMIS Project Part 1, Introduction: A Vision of Stroke Care Close to Home Through a Regional Telestroke Network
[Student Name]
School of Nursing, Liberty University
NURS 718: Informatics, Technology and Trends for Transforming Health Care
HMIS Project Part 1: Introduction
[Instructor Name]
[Date]
The health system, its hospitals and its figures are composites standing in for the student's workplace; the textbooks, studies and Scripture cited are real.
HMIS Project Part 1, Introduction: A Vision of Stroke Care Close to Home Through a Regional Telestroke Network
Introduction
Last winter, a 66-year-old man arrived at our critical access hospital with sudden weakness in his left arm and leg, about an hour after his symptoms began. The emergency physician recognized a stroke, but no neurologist was available to confirm that the patient was a candidate for thrombolysis, and the physician was reluctant to give the drug alone. The patient was transferred by ambulance to the regional medical center, 52 miles away, and received treatment there more than three hours after his symptoms started. He survived with weakness that ended his work as a carpenter. Every clinician involved acted reasonably. The problem was not the people but the system: the hospital closest to the patient had no way to bring a stroke specialist to the bedside in time.
This paper introduces a health management information system designed to solve that problem, a telestroke network linking the emergency departments of Shenandoah Valley Health's three hospitals to a comprehensive stroke center. It describes the organization and its mission, the problem the system addresses, the system itself, the vision and goals that will guide it, the stakeholders, and the project's scope. Part 2 of the project will present the detailed plan, and Part 3 will describe implementation and evaluation.
The Organization and Its Mission
About 280,000 people live in the rural region Shenandoah Valley Health serves. Its largest hospital, a regional medical center of 240 beds, holds primary stroke center designation; the other two are a community hospital with 60 beds and a critical access hospital with 25. The two smaller hospitals are 34 and 52 miles from the regional center, and the nearest comprehensive stroke center, which offers thrombectomy, is 95 miles from the critical access hospital. Its mission commits the system to excellent care delivered near where patients live, and its current strategic plan names three priorities: access to specialty care close to home, quality and safety, and financial sustainability.
The system has a shared electronic health record across all three hospitals, implemented two years ago, and a small information technology department of 22 staff, most of them based at the regional center. Emergency nurses at the smaller hospitals have experience with video interpreting services but none with telemedicine consultation. Neurology coverage is limited to two neurologists at the regional center who do not provide coverage overnight or at the smaller hospitals.
The Problem: Stroke Care at a Distance
Stroke treatment is a race against time. Thrombolysis and thrombectomy can reduce disability, but their benefit falls with every minute of delay, and many eligible patients do not receive them in time. Royan et al. (2026) describe a persistent gap between the number of patients eligible for reperfusion therapy and those treated, driven by delays in recognizing stroke before arrival, choosing where to take the patient and transferring between hospitals. Those delays fall hardest on rural patients. Chang et al. (2024), analyzing national death data from 1999 to 2020, found that rural areas consistently had more stroke deaths per 100,000 people than urban areas, a gap that narrowed little over two decades and was largest in the South.
Access to neurology expertise appears to matter. In a cross-sectional study of 52 community emergency departments, Shi et al. (2026) found that mean 30-day stroke mortality was 13.1% where neurologists were available in person, 14.0% where they were available by telestroke and 15.2% where neurology involvement was by telephone only or absent. After adjustment, telephone-only access was associated with significantly higher mortality than in-person access, while telestroke was not significantly different from in-person care. Rural location was independently associated with higher mortality. Our two smaller hospitals currently fall into the telephone-only category. The expansion of stroke infrastructure has also not reached rural communities equally: Shen et al. (2026) found that between 2009 and 2019, newly certified stroke centers opened within reach of 50% of higher-income rural communities but only 30% of lower-income ones, and the authors called for implementation strategies focused on equity.
Our own data reflect these national patterns. Last year, 31 patients with suspected stroke were transferred from the two smaller hospitals to the regional center or the comprehensive stroke center. The median door-to-needle time for the few patients treated at those hospitals was 74 minutes, well above the widely used 60-minute target, and several patients who might have been eligible for thrombolysis were transferred untreated because no specialist was available to support the decision. Our smaller hospitals do not lack skilled clinicians; they lack a reliable way to bring a stroke specialist into the room within minutes.
The Proposed System
Tan and Payton (2010) define a health management information system as an integrated system of people, processes and technology that gathers and processes data to support managerial and clinical decisions, and they stress that such systems must adapt to the organizations they serve. A telestroke network fits that definition. Its technology is the visible part: high-definition video carts in each emergency department, a secure connection to the comprehensive stroke center, and the ability for the remote neurologist to view brain imaging in real time. But the system also includes new processes, such as a stroke alert that pages the telestroke team and starts a consultation within minutes, standard order sets for thrombolysis, and protocols for deciding which patients stay local and which are transferred. It includes people in new roles, among them a stroke coordinator, emergency nurses trained to present patients on video and a remote neurologist who shares responsibility with the local physician.
The network also generates data. Each consultation records time stamps, stroke severity scores, treatment decisions and transfer outcomes, which feed the stroke registry and support the quality reviews that Tan and Payton (2010) describe as part of an adaptive system. Telestroke programs in other regions have shown what this structure can achieve: when ambulance crews alerted the teleneurologist ahead of arrival, patients were treated sooner and more of them received thrombolysis (Sambursky et al., 2026), and a World Stroke Organization statement emphasizes that telestroke must be organized around local resources, with quality assurance built in from the start (Tunkl et al., 2026).
Vision Statement
The vision for the network is a single sentence that every participant should be able to remember: every person in our region who has a stroke will be seen by a stroke specialist within 15 minutes of arriving at any of our hospitals, and will receive the right treatment in the right place without unnecessary transfer. The vision expresses the mission in concrete terms. It focuses on patients, not technology; it applies to all three hospitals equally; and it contains measurable elements that the goals can track.
Goals and Objectives
Five goals translate the vision into commitments that can be measured. Each has a baseline drawn from last year's data, a target and a date, so that Part 3 can evaluate the system against them.
| Goal | Measure | Baseline | Target | Date |
|---|---|---|---|---|
| 1. Rapid specialist access | Time from arrival to start of telestroke consultation | Not available | Median 15 minutes or less | 12 months after go-live |
| 2. Faster treatment | Median door-to-needle time at the two smaller hospitals | 74 minutes | 60 minutes or less | 12 months after go-live |
| 3. More eligible patients treated | Proportion of eligible patients receiving thrombolysis | Not reliably measured | Measured monthly, increase by year two | 24 months after go-live |
| 4. Fewer unnecessary transfers | Patients transferred who could have stayed local, by chart review | 31 transfers, necessity unknown | 25% fewer avoidable transfers | 24 months after go-live |
| 5. Prepared staff | Emergency nurses completing telestroke training and simulation | 0% | 100% before go-live, annual refresher | Before go-live |
The goals are deliberately few. Goals 1 and 2 address the hyperacute phase, where minutes matter most. Goal 3 addresses the gap between eligibility and treatment that Royan et al. (2026) describe. Goal 4 addresses the mission's emphasis on keeping patients close to home, but it is framed as reducing avoidable transfers, since some patients, such as those needing thrombectomy, must be transferred. Goal 5 reflects the evidence that people are part of the system: clinicians surveyed in a Greek island stroke network believed in telemedicine more than they believed it suited their daily routines, and over a third had never watched it used (Chatzidaki et al., 2026).
Alignment With Mission and Strategy
Each goal connects to the strategic plan. Rapid specialist access and fewer avoidable transfers advance the priority of specialty care close to home. Faster treatment and more eligible patients treated advance quality and safety. Prepared staff supports both. Financial sustainability is served indirectly: patients who are treated locally remain in the system, and avoided transfers reduce ambulance costs. The project also fits the role Zaccagnini and White (2017) describe for the DNP-prepared nurse, who evaluates and selects information systems and technology to improve and transform care. As the project lead, I will translate clinical needs into system requirements and define the measures by which the system will be judged.
Stakeholders
The project affects many people, and naming them early helps plan for their involvement. Patients and families are the primary stakeholders. Emergency physicians and nurses at the two smaller hospitals will use the system at the bedside, and their workflow will change most. The comprehensive stroke center's neurologists and telestroke coordinators will provide consultations. The regional center's neurologists and radiologists will support imaging and inpatient care. Emergency medical services crews will be asked to prenotify the hospital. The information technology department will install and support the equipment, and the finance office, compliance officer and board will approve and oversee the investment.
Scope
The project includes video carts and connectivity for the three emergency departments, the telestroke contract with the comprehensive stroke center, stroke alert processes, order sets, training and data collection for the stroke registry. It does not include inpatient telestroke rounding, mobile stroke units or new imaging equipment, although the network could later support inpatient consultation if the first phase succeeds. Limiting the scope in this way keeps the project within the approved budget of about $650,000 and allows the implementation to be completed within one year.
Christian Worldview
The project rests on a conviction that every patient's life has equal worth, whatever the distance from a city hospital. In the parable of the good Samaritan, the man who proved to be a neighbor was the one who crossed the road to help the injured traveler where he lay (English Standard Version Bible, 2001/2016, Luke 10:30-37). A telestroke network does something similar: it carries specialist care to the patient rather than requiring the patient to travel to it. Stewardship also matters. A not-for-profit system must invest its limited resources where they will do the most good, which is why the goals are measurable and the scope is limited.
Conclusion
Rural patients in our region face longer delays and fewer treatment options for stroke than patients near a major center, and our smaller hospitals currently rely on telephone advice that the evidence links to worse outcomes. A telestroke network, understood as an integrated system of people, processes and technology, offers a way to bring specialist decisions to the bedside within minutes. The vision and five measurable goals presented here will guide the detailed plan in Part 2 and the implementation and evaluation in Part 3.
References
Chang, D., Ibrahim, R., Pham, H. N., Sainbayar, E., Shahid, M., Makkieh, M., Abbad, H., Lee, J. Z., Mamas, M. A., & Lee, K. (2024). Rural-urban stroke mortality gaps in the United States. Journal of Stroke and Cerebrovascular Diseases, 33(8), Article 107762. https://doi.org/10.1016/j.jstrokecerebrovasdis.2024.107762
Chatzidaki, S., Anargyros, K., & Xanthos, T. (2026). Human readiness for stroke telemedicine in a Greek island network: A cross-sectional study. Telemedicine and e-Health. Advance online publication. https://doi.org/10.1177/15305627261492660
English Standard Version Bible. (2016). Crossway. (Original work published 2001)
Royan, R., Stamm, B., & Prabhakaran, S. (2026). Optimizing acute ischemic stroke systems of care: Current state and future directions. Stroke, 57(9), 2925-2934. https://doi.org/10.1161/STROKEAHA.126.052584
Sambursky, J. A., McDonald, M., Mayer, L., Vidgop, Y., Figurelle, M., McCoy, M., Collins, O., Gao, L., & Sevilis, T. (2026). EMS prenotification to teleneurologists and continuous evaluation: The impact on telestroke metrics. Telemedicine Reports, 7. https://doi.org/10.1177/26924366261456445
Shen, Y. C., Spencer, M., & Hsia, R. Y. (2026). Stroke technology diffusion in rural settings: Differential exposure to certification levels by community income levels. Neurology, 106(4), Article e214644. https://doi.org/10.1212/WNL.0000000000214644
Shi, A. C., Rothenberg, C., Sharma, P. B., Venkatesh, A. K., & Zachrison, K. S. (2026). Cross-sectional analysis of emergency department neurology access and 30-day stroke mortality in community hospitals. Journal of Stroke and Cerebrovascular Diseases, 35(9), Article 108690. https://doi.org/10.1016/j.jstrokecerebrovasdis.2026.108690
Tan, J. K. H., & Payton, F. C. (2010). Adaptive health management information systems: Concepts, cases, and practical applications (3rd ed.). Jones and Bartlett.
Tunkl, C., Carbonera, L. A., Hubert, G., Agarwal, A., Adcock, A. K., Liberato, B., Yperzeele, L., Roushdy, T., Collantes, E. M., Bonifacio Delgadillo, D. M., Bladin, C., & Ranta, A. (2026). Telestroke care in resource-limited settings: A World Stroke Organization scientific statement. International Journal of Stroke. Advance online publication. https://doi.org/10.1177/17474930261480603
Zaccagnini, M. E., & White, K. W. (Eds.). (2017). The doctor of nursing practice essentials: A new model for advanced practice nursing (3rd ed.). Jones & Bartlett Learning.
What the NURS 718 Week 6 instructions ask
The HMIS project asks each student to write a formal paper on implementing a health management information system suited to the student's own workplace, delivered in three parts across the last three modules. Part 1, the introduction, develops a vision and goals for the system that are consistent with the organization's mission. The student must use the Tan and Payton textbook and at least three other scholarly sources, and the paper must run 5 to 7 pages in current APA format, not counting the title and reference pages. Because Parts 2 and 3 build on this one, the choice of system and the wording of the goals will shape the planning and implementation sections that follow. A narrow, well-defined system is easier to plan in detail than a sweeping one.
How this NURS 718 Week 6 example is built
The introduction opens with a stroke patient whose treatment depended on a transfer, then profiles the three hospitals and the mission they share. A section on the problem uses the system's own transfer and treatment-time figures alongside national evidence on rural stroke outcomes. The proposed system is described in the textbook's terms, as an integrated set of people, processes and technology. A one-sentence vision statement follows, then a table of five goals in which every goal carries its measure, starting value, target value and deadline. Sections on stakeholders, scope and the Christian worldview complete the paper, and the conclusion previews the planning that Part 2 will develop. Margin notes point out where each requirement is met.
NURS 718 Week 6 grading rubric: where the points go
Part 1 is usually judged on the clarity and relevance of the proposed system, the quality of the vision and goals and their alignment with the organization's mission, the use of Tan and Payton and at least three further scholarly sources, and APA format and length. Instructors look for goals that can be measured, because Part 3 will need to evaluate them, and for a vision that is short enough to remember. Evidence that the problem is real in the student's own organization, using local data where possible, carries more weight than general statistics alone. Defining the scope early shows the planning discipline the next two parts depend on.
NURS 718 Week 6 help: mistakes that cost points
Introductions to the HMIS project often describe a technology the student admires rather than a problem the organization has, which makes the vision sound like a sales pitch. Others write goals that cannot be measured, such as improving communication, and then struggle in Part 3. Some choose a system so large that Part 2 becomes impossible to plan in ten pages. Start from a problem with local numbers, choose a system with clear boundaries, write a vision of one sentence, attach a baseline and target to every goal, cite the textbook's definition of an HMIS, and state in one paragraph what the project will not include. Keep the stakeholders specific by naming roles rather than departments.
Related NURS 718 sample papers
Other NURS 718 weeks
- NURS 718 Week 1: Discussion Board Forum 1
- NURS 718 Week 2: Discussion Board Forum 2
- NURS 718 Week 3: Case Study 1
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- NURS 718 Week 5: Case Study 3
- NURS 718 Week 7: HMIS Project Part 2: Planning
- NURS 718 Week 8: HMIS Project Part 3: Implementation
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NURS 718 Week 6 questions, answered
What is NURS 718 HMIS Project Part 1?
It is the 100-point introduction to the course's health management information system project, due in Module/Week 6, setting out a vision and goals that fit the student's organization's mission in 5 to 7 pages.
Where can I find a free NURS 718 Week 6 sample paper?
A full NURS 718 Week 6 HMIS introduction for a rural telestroke network, with its vision statement, five measurable goals and APA references, is open to read here.
What should a vision statement for a health information system include?
A short statement of the future the system will create for patients and staff, tied to the organization's mission and concrete enough that leaders can test each design choice against it.
How many sources does HMIS Project Part 1 require?
The guide asks for the Tan and Payton textbook and at least three other scholarly sources, in a paper of 5 to 7 pages in current APA format.
Why choose a telestroke network for an HMIS project?
It addresses a measurable problem where minutes matter, combines technology with new clinical processes and roles, and produces numbers, like minutes to treatment and counts of transfers, that make goals easy to track.
Use it as a model, or ask for your own
This paper is an original model written by our desk for study. It is not a submitted student paper and not an official Liberty University document. Read it for structure and reasoning, then write your own to the instructions in your Canvas course. If you want a version built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
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