| Course | HCS 487 Technology and Systems Approach for Health Care Managers (HCS/487) |
|---|---|
| Week | 3 |
| Paper type | System implementation plan |
| Length | about 1,020 words, 4 double-spaced pages plus title page and references |
| Format | APA 7 student paper |
| School | University of Phoenix |
| Program | BS in Health Administration |
| Updated | September 2026 |
Free sample paper for HCS 487 Week 3
Sixteen Weeks, Twelve Sites and a Champion in Each: The Implementation Plan for an Electronic Consultation Platform Across a Community Health Center Network
[Student Name]
University of Phoenix
HCS/487: Technology and Systems Approach for Health Care Managers
Week 3 Assignment
[Instructor Name]
[Date]
The health center network, its sites and its timeline are composites written for a model paper; frameworks and research findings come from the sources listed.
A composite network of community health centers signed a contract for an electronic consultation platform after a selection process led by its clinicians. The platform will let primary care clinicians at 12 sites send clinical questions to cardiology, dermatology and endocrinology specialists, receive advice within days and convert consults into appointments when needed. This paper sets out the plan to implement it in sixteen weeks and to support it through the first ninety days of use.
Governance and Roles
The chief medical officer is the executive sponsor, responsible for removing obstacles and making decisions the project cannot. A project manager runs the timeline, budget and risk log. A clinical informatics lead configures templates and reports. Each site has a clinical champion, usually a respected physician or nurse practitioner, and a lead referral coordinator. The vendor provides an implementation consultant and trainers. A steering group of the sponsor, project manager, informatics lead, two champions and a partner specialist meets weekly and records decisions.
Timeline
Weeks 1 to 3: workflow mapping and redesign. Weeks 4 to 7: configuration, templates and interface build. Weeks 8 to 9: testing. Weeks 10 to 13: pilot at two sites. Weeks 14 to 16: training and phased go-live at the remaining ten sites in three waves. Days 1 to 90 after the final wave: stabilization and measurement.
Workflow Redesign
The team mapped the current referral process at three sites and found that clinicians spent time writing referral letters, coordinators faxed them and no one tracked whether specialists responded. In the new workflow, the clinician selects an e-consult order, completes a short specialty template that pulls results automatically from the record and signs. The coordinator reviews the request for completeness and routes it. The specialist answers in the platform. The answer returns to the clinician's inbox, and if a visit is recommended, the coordinator schedules it. Coordinators, not clinicians, own follow-up on late responses.
Configuration and Interfaces
The informatics lead built specialty templates with the partner specialists: cardiology asks for the reason, electrocardiogram and recent echocardiogram; dermatology requires at least two photographs; endocrinology asks for recent laboratory values and medication history. The vendor built interfaces for orders, results and documentation with the health record.
Testing
Testing covered each consult type from order to answer, including failures: a consult sent without required fields, a specialist response after the three-day limit and a network outage. The team ran 60 test scenarios and fixed 14 defects before the pilot.
The Pilot
Two sites, one large and one small, used the platform for four weeks. The pilot found that dermatology photographs taken with older clinic tablets were too blurry, so the network bought four new cameras. It also found that clinicians did not see specialist answers promptly because they arrived in a crowded inbox, so answers were flagged with a distinct color. The pilot cost four weeks and saved the network from rolling out two problems to ten more sites.
Training
Training was role-based. Clinicians received a 45-minute hands-on session and a one-page guide. Coordinators received four hours covering routing, tracking and scheduling. Specialists received a short remote session on answering consults. Champions received extra training so they could support colleagues.
Communication and Resistance
Kotter (1995) argued that change efforts fail when leaders do not communicate the vision enough or neglect short-term wins. The sponsor explained the purpose at every site's staff meeting: patients waiting months for answers they could have in days. Pilot results were shared as early wins, including a patient whose rash was diagnosed by photograph within two days.
Managing Risk
Greenhalgh et al. (2017) showed that health technologies are often abandoned when their value is unclear to users or the work they add falls on the wrong people. The risk log tracked those risks, including specialist response times slipping as volume grew, clinicians returning to paper referrals and the unresolved question of plan payment for e-consults.
Specialist Engagement
Specialists are outside the network's control, so the plan treated them as partners rather than users. Each specialty group named a lead physician who joined template design, reviewed the first 20 consults for completeness and met monthly with the network's chief medical officer. The groups received a monthly report showing their response times and the number of consults resolved without a visit, which let them see the value of their work. When one dermatologist's responses slowed during a vacation, the group arranged coverage without being asked, a sign that the partnership was working.
Phased Go-Live
The remaining ten sites went live in three waves a week apart. Each site had a vendor trainer and its champion at the elbow for the first two days, and the project team held a 15-minute huddle each morning to review problems.
Productivity Dip
The plan expected clinicians to be slower in the first two weeks and reduced each clinician's schedule by one patient per session during that time, paid for from the project budget.
Measures and Targets
Targets were drawn from published results. Olayiwola et al. (2016) found that 69% of cardiology e-consults in a similar network were resolved without a specialist visit and that the median time to specialist review fell to 5 days. The network set targets of median specialist response within 3 business days, at least 50% of e-consults resolved without a visit in the first six months and at least 80% of eligible referrals sent as e-consults by month three.
The First Ninety Days
Weekly reports track volume, response times, resolution without a visit and consults returned incomplete. Champions meet every two weeks to share problems. At day 90, the steering group will decide whether to add specialties.
Conclusion
The implementation plan turns a signed contract into daily use through clear governance, workflow redesign before configuration, thorough testing, a pilot that caught real problems, role-based training and a phased go-live with support. Risks drawn from research on technology abandonment and targets drawn from a trial in a similar network give the project a way to judge success.
References
Greenhalgh, T., Wherton, J., Papoutsi, C., Lynch, J., Hughes, G., A'Court, C., Hinder, S., Fahy, N., Procter, R., & Shaw, S. (2017). Beyond adoption: A new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. Journal of Medical Internet Research, 19(11), Article e367. https://doi.org/10.2196/jmir.8775
Kotter, J. P. (1995). Leading change: Why transformation efforts fail. Harvard Business Review, 73(2), 59-67.
Olayiwola, J. N., Anderson, D., Jepeal, N., Aseltine, R., Pickett, C., Yan, J., & Zlateva, I. (2016). Electronic consultations to improve the primary care-specialty care interface for cardiology in the medically underserved: A cluster-randomized controlled trial. Annals of Family Medicine, 14(2), 133-140. https://doi.org/10.1370/afm.1869
What the HCS 487 Week 3 instructions ask
HCS 487 Week 3 commonly asks students to explain how a health care organization implements a new technology or health information system. Students may describe the implementation team and governance, project planning and timeline, workflow analysis and redesign, system configuration and testing, data conversion, training, communication, go-live strategy and post-implementation support, as well as managing resistance and risk. Some prompts continue a system chosen in earlier weeks. Expect a few pages with sources. Strong plans describe specific steps with owners and dates, redesign workflow before configuring the system, pilot before full rollout, match training to roles and plan for the dip in productivity that often follows go-live.
How this HCS 487 Week 3 example is built
The plan begins with the signed contract and a sixteen-week timeline. Governance comes first: an executive sponsor, a project manager, a clinical champion at each site and a weekly steering meeting. The team maps the current referral workflow and redesigns it so referral coordinators, not clinicians, handle routing and follow-up. Interfaces with the health record are built and tested with realistic scenarios. Two sites pilot the platform for four weeks, and their lessons change the templates. Training is tailored to clinicians, coordinators and specialists. Go-live proceeds in three waves. The first ninety days include at-the-elbow support, daily huddles and weekly measures tied to targets drawn from published results.
HCS 487 Week 3 grading rubric: where the points go
The implementation week is usually graded on completeness, sequence and realism. Instructors look for a defined team and governance, a timeline with milestones, workflow redesign, testing, training matched to roles, a go-live approach and post-implementation support. Points go to plans that address resistance, communication and risk and that include measures to judge success. Recognizing common problems, such as productivity dips or workarounds, shows experience. Sources on implementation science or change management should support the plan, and a timeline graphic helps. The last points go to structure and citation style. A plan that leaps straight from purchase to launch, or that gives every role the same single training session, rarely scores well.
HCS 487 Week 3 help: mistakes to avoid
Many HCS 487 Week 3 drafts stumble by writing implementation as a list of tasks without owners or dates. Put the plan on a timeline and assign each step. Another is configuring the system to match old habits; map and redesign the workflow first. Students also skip testing and piloting, the steps that catch problems cheaply. Train by role: a specialist answering consults needs different skills from a coordinator routing them. Expect a temporary drop in productivity at go-live and plan support for it. Address resistance with communication and early wins. Define measures before go-live so you can tell whether it worked. Finally, include a plan for the first ninety days, not just the launch.
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HCS 487 Week 3 questions, answered
What does HCS/487 Week 3 usually ask for?
Many sections ask students to explain how a health care organization implements a new technology or health information system, covering team, timeline, workflow, testing, training, go-live and support.
Where can I find a free HCS 487 Week 3 sample paper?
The e-consult implementation plan can be read here in full with no fee, and notes in the margin explain the sequence. We will draft your first implementation plan free on request.
What is a phased go-live?
Launching a system in stages, such as by site or department, so problems found early can be fixed before the whole organization depends on the system.
What is a clinical champion in health IT implementation?
A respected clinician who supports the new system, helps design workflows, answers colleagues' questions and models its use during rollout.
Why pilot a new health IT system?
A pilot tests the system and workflow in real conditions with a small group, revealing problems that are cheaper to fix before full rollout.
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