N522 Module 8 assignment: full organizational analysis and change proposal, a full sample

Reviewed by Maren Hollowell, MSN, RN Aspen University True APA form Annotated

A complete N522 Module 8 example in true APA form: a full organizational analysis of a composite community health center with 26-day waits and 24 percent no-shows, grounded in a review of 105 studies naming lead time as a key driver, reading all seven elements of the McKinsey 7-S framework, and proposing advanced access tested through PDSA cycles, with first-year costs, recovered visit revenue, measures and resistance. Margin notes show where each section earns its marks.

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Empty Chairs and Full Waiting Lists: A 7-S Analysis of a Community Health Center and a Proposal for Advanced Access Scheduling

Student Name

Master of Science in Nursing Program, Aspen University

N522: Modern Organizations and Health Care

Instructor Name

Month Day, Year

What this page is doingThe title states the paradox the analysis explains, empty appointment slots alongside long waits, and names the model and the proposed change. APA 7 student title page.
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Empty Chairs and Full Waiting Lists: A 7-S Analysis of a Community Health Center and a Proposal for Advanced Access Scheduling

A full organizational analysis asks how the parts of an organization fit together and why a persistent problem survives despite efforts to fix it. This paper analyzes a composite federally qualified health center with a high rate of missed appointments, using the McKinsey 7-S framework to examine how its strategy, structure, systems, shared values, style, staff, and skills contribute to the problem. It then proposes a change, advanced access scheduling, tested through the Model for Improvement, with its costs, measures, and expected resistance.

What this page is doingThe introduction states the purpose of a full analysis and the paper's structure, from diagnosis through a costed proposal.
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The Organization and the Problem

Eastside Community Health Center, a composite organization, runs three federally funded clinic sites for roughly 18,000 people; the majority rely on Medicaid or have no insurance at all. It employs 24 physicians and advanced practice providers, 16 registered nurses, 30 medical assistants, and a central call center. Its mission is "high-quality, affordable care for everyone in our neighborhoods."

The problem is paradoxical. Patients wait an average of 26 days for a routine appointment, yet 24 percent of scheduled appointments are missed. Each missed visit is lost revenue and a lost chance to manage diabetes, hypertension, or prenatal care. Reminder calls were added two years ago, with little effect. A systematic review of 105 studies found that the average no-show rate is about 23 percent and that the most commonly reported determinants are long lead time between booking and appointment and a history of previous no-shows, with younger adults, lower socioeconomic status, greater distance from the clinic, and lack of private insurance also associated with missed visits (Dantas et al., 2018). Eastside's patient population carries many of these risk factors, but its long lead time is a factor the organization controls.

What this page is doingThe organization and problem are described with numbers, and the evidence identifies lead time as a controllable driver, which points the analysis toward a system cause rather than patient blame.
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The 7-S Framework

Waterman et al. (1980) argued that effective organizational change requires attention to seven interdependent elements, not only structure and strategy: strategy, structure, systems, style, staff, skills, and shared values, which they called superordinate goals. The elements are interconnected, so a change in one that ignores the others is likely to fail. The framework is useful here because Eastside's earlier fix, reminder calls, changed a single system while leaving the rest untouched.

What this page is doingThe framework is introduced with its original source and a reason it fits this problem, which justifies the choice of model.
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Applying the 7-S Framework to Eastside

Strategy: Eastside's strategy emphasizes growth in patient numbers to meet federal targets, so providers' panels are large and schedules are booked weeks ahead.

Structure: Scheduling is centralized in a call center separate from the clinics, so the people who book appointments have no contact with the care teams and cannot see which patients most need to be seen soon.

Systems: The scheduling system books most slots weeks in advance and holds few same-day appointments. Reminder calls go out two days before visits, but many patients have changed phone numbers. No-show data are reported monthly as a single rate, without analysis by lead time or patient group.

Shared values: The mission emphasizes access, but in practice staff often view no-shows as patients' irresponsibility, and some clinics have considered dismissing frequent no-show patients.

Style: Leadership is responsive but crisis-driven, adding fixes such as reminder calls without testing whether they work.

Staff: RNs spend much of their time on triage calls from patients who cannot get appointments, and medical assistants are stretched across providers.

Skills: The organization has little capacity for quality improvement methods or for analyzing its own scheduling data.

The 7-S view shows that Eastside's no-shows are produced by the fit among its parts: a growth strategy fills the calendar, a centralized structure books it blindly, and a system of long lead times ensures that many booked patients will not come.

What this page is doingEach of the seven elements is applied specifically to the organization, and the highlighted sentence synthesizes how they interact to produce the problem, which is the purpose of using the framework.
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The Proposed Change: Advanced Access

Advanced access, sometimes called open access, is a scheduling approach in which clinics do today's work today, offering most patients an appointment on the day they call or the next day, instead of booking weeks ahead. Murray and Berwick (2003) describe its principles: balancing supply and demand for appointments, reducing the backlog, reducing the variety of appointment types, planning for contingencies, and managing demand through practices such as longer intervals between routine visits for stable patients. By shortening lead time, advanced access addresses the determinant of no-shows that Eastside controls.

The change would touch several of the 7-S elements at once. Systems would change as the schedule shifts to mostly same-day slots after the backlog is worked down. Structure would change as schedulers are assigned to clinic teams rather than a central call center. Staff roles would change as RNs manage stable chronic patients through nurse visits and telephone follow-up, freeing provider time. Shared values would be addressed by reframing no-shows as a system problem rather than a patient failing.

What this page is doingThe proposed change is explained with its source and principles, tied to the evidence on lead time, and connected to the 7-S elements it must change together, which follows from the diagnosis.
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Implementation Through the Model for Improvement

Rather than changing all three clinics at once, Eastside would use the Model for Improvement (Langley et al., 2009). Its three questions set the aim, the measures that would show progress, and the candidate changes, and each change is then tried on a small scale through plan-do-study-act cycles before it spreads. The first cycle would test advanced access with one provider team at one clinic for eight weeks, measuring demand daily, working down the backlog with extra sessions, and tracking results. Later cycles would adjust the proportion of same-day slots and spread to other teams.

Costs include about 120 extra provider hours to work down the backlog, training for staff, and analyst time to build a demand-tracking report, totaling an estimated $60,000 in the first year. These would be offset by recovered visit revenue: at an average of $150 per visit, reducing no-shows from 24 to 15 percent across roughly 60,000 annual scheduled visits would recover about 5,400 visits, or more than $800,000, even before counting the clinical value of better chronic disease follow-up.

What this page is doingImplementation uses a named improvement model with small tests of change, and the costs and offsetting revenue are calculated with stated assumptions, which gives leaders a basis for decision.
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Measures and Resistance

Measures would include the no-show rate, days to the third next available appointment, the proportion of patients seen by their own provider, emergency department visits for conditions manageable in primary care, and staff satisfaction. Resistance is likely from providers who fear that open schedules will be chaotic, and from call center staff reassigned to clinics. The pilot team's data will be the most persuasive answer, and involving schedulers in designing their new role will reduce uncertainty.

What this page is doingThe measures combine outcome, process and balancing indicators, and anticipated resistance is named with specific responses.
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Conclusion

Eastside's high no-show rate is not simply a patient behavior problem. The 7-S analysis shows that its strategy, structure, and systems together create long lead times, which the evidence identifies as a major driver of missed appointments. Advanced access, tested in small cycles and supported by changes in structure, staff roles, and shared values, offers a way to fill empty chairs and shorten waiting lists at the same time. The change costs money up front, but recovered visits and better care for chronic conditions make it a sound investment.

What this page is doingThe conclusion connects diagnosis, evidence, proposal and cost in a closing argument, as a capstone analysis should.
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References

Dantas, L. F., Fleck, J. L., Cyrino Oliveira, F. L., & Hamacher, S. (2018). No-shows in appointment scheduling: A systematic literature review. Health Policy, 122(4), 412-421. https://doi.org/10.1016/j.healthpol.2018.02.002

Langley, G. J., Moen, R. D., Nolan, K. M., Nolan, T. W., Norman, C. L., & Provost, L. P. (2009). The improvement guide: A practical approach to enhancing organizational performance (2nd ed.). Jossey-Bass.

Murray, M., & Berwick, D. M. (2003). Advanced access: Reducing waiting and delays in primary care. JAMA, 289(8), 1035-1040. https://doi.org/10.1001/jama.289.8.1035

Waterman, R. H., Peters, T. J., & Phillips, J. R. (1980). Structure is not organization. Business Horizons, 23(3), 14-26. https://doi.org/10.1016/0007-6813(80)90027-0

How this N 522 Module 8 example is structured

N522 Module 8 usually closes the course with a full organizational analysis and change proposal. Aspen does not publish module deliverables, so check your classroom for the exact prompt. This example describes the organization and problem with evidence, applies a complete organizational framework element by element, proposes a change that addresses the diagnosis across several elements, and closes with an improvement method, costs, measures and resistance.

N522 Module 8 questions, answered

What does N522 Module 8 usually ask for?

The final module typically asks for a full organizational analysis of an organization you know and a change proposal, applying named frameworks and addressing implementation, cost, measures and resistance. Aspen does not publish module deliverables, so your classroom's instructions govern.

What are the seven elements of the McKinsey 7-S framework?

Strategy, structure, systems, style, staff, skills and shared values. The framework argues that they are interdependent, so changing one without the others is likely to fail.

What is advanced access scheduling?

A primary care scheduling approach in which most patients are offered an appointment the day they call or the next day, achieved by balancing supply and demand, reducing the backlog and simplifying appointment types. Shorter lead times are associated with fewer no-shows.

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