| Course | NUR-8420 Organizational and Systems Leadership II |
|---|---|
| Module | Module 4 |
| Paper type | Leadership paper: complexity science and patient flow |
| Length | About 1,037 words, 6 pages |
| Format | APA 7 student paper |
| School | Thomas Edison State University |
| Program | Doctor of Nursing Practice |
| Updated | October 2026 |
Free sample paper for NUR 8420 Module 4
The Bed That Is Always Somewhere Else: Emergency Boarding at a Paterson Hospital Seen as a Complex Adaptive System
Student Name
Doctor of Nursing Practice, Thomas Edison State University
NUR-8420: Organizational and Systems Leadership II
Mentor Name
Month Day, Year
The Bed That Is Always Somewhere Else: Emergency Boarding at a Paterson Hospital Seen as a Complex Adaptive System
Nine Hours on a Stretcher
The hospital in this paper is invented: 520 beds in Paterson, an emergency department of 64 treatment spaces seeing about 110,000 visits a year and an older, sicker population than the state average. From the moment a physician writes the admission order, the median wait for a bed is now nine hours, and on Mondays the 90th percentile exceeds 24 hours. On a typical evening, 18 of the 64 spaces hold admitted patients. Emergency nurses care for boarded inpatients while new patients wait in the lobby, and the rate of patients leaving before being seen has doubled in two years.
The hospital has tried the usual remedies. A discharge-before-noon target was set, a bed management software package was bought and a flow committee meets weekly. Each helped for a few weeks before the old pattern came back. The new director of patient flow, a nurse with a DNP, argued that the remedies failed because they treated the hospital as a machine with a broken part.
The Evidence on Boarding
Singer et al. (2011) followed admitted patients in one academic hospital and saw in-hospital deaths climb step by step as their time boarding in the emergency department grew, with the longest boarders faring worst; their total hospital stays grew longer as well. The study was observational and from one hospital, but its dose-response pattern fits other evidence that crowding harms patients. At Paterson, boarding is a safety problem, not only a service problem.
Machines and Adaptive Systems
Plsek and Wilson (2001) argued that health care managers often work from a machine metaphor: break the organization into parts, specify each part in detail and fix whichever part fails. That approach suits work that is predictable. Much of health care is not. A hospital is better described as a complex adaptive system, made up of people who act on their own understanding, whose actions affect each other and whose behavior produces patterns that nobody designed. In such systems, detailed plans are quickly overtaken, and the authors suggested that leaders instead set a few minimum specifications, give people room to adapt within them and pay attention to the patterns that emerge.
Seen this way, boarding is an emergent pattern. Inpatient units hold discharges until afternoon rounds finish. Physicians round in an order that suits their own schedules. Transport is staffed for an even flow that does not exist. Elective surgery fills beds early in the week. Each choice makes sense locally, and together they produce Monday evenings with 18 boarders. The discharge-before-noon target failed because units met it by discharging the easiest patients early while the rest left at the usual time.
Safety-II
Braithwaite et al. (2015) contrasted two ways of understanding safety. Safety-I defines safety as the absence of harm and studies what goes wrong. Safety-II defines safety as the ability to succeed under varying conditions and studies how things usually go right. Because work as actually done differs from work as imagined by planners, and because people constantly adjust what they do to meet changing demands, the authors argued that the same adjustments that occasionally fail are what make most days succeed.
The flow director used that idea to look at good days. On days when boarding stayed under four hours, staff described several things happening at once: charge nurses on inpatient units called the emergency department to pull patients up rather than waiting to be asked, hospitalists finished discharge orders the evening before, and environmental services staff were told which rooms would be empty next. None of those actions was written in policy. They were adjustments people made when they could.
| View | Question asked | What it found at Paterson |
|---|---|---|
| Machine | Which part is broken? | Discharge timing, software, committee |
| Complex adaptive system | What pattern do local choices produce? | Monday surges, afternoon discharges, uneven transport |
| Safety-II | What happens on good days? | Pull from inpatient units, evening discharge orders, early room news |
Simple Rules
Instead of a detailed new process, the plan sets four simple rules for every inpatient unit. Anticipated discharges are identified the evening before. The charge nurse calls for the next admission when a bed will be ready within an hour. No admitted patient boards more than four hours without the unit's nurse manager hearing about it. Elective surgical admissions are spread evenly across the week. Units decide how to meet the rules.
The rules were drafted with the people who would follow them. Two charge nurses, a hospitalist, the transport supervisor and an emergency nurse met three times and cut an early list of eleven rules to four, arguing that nobody would remember more. They also dropped a rule about discharge times because, in their experience, any clock target invites units to discharge the easiest patients first. The flow director accepted their changes, reasoning that rules owned by the units are more likely to survive the first bad week.
Each month, staff from the emergency department, two inpatient units, transport and environmental services meet for an hour to review one good day and one bad day, asking what people did differently. Promising adjustments are tried on other units.
Tracking the Pattern
Paterson will follow boarding hours at the median and at the 90th percentile for each weekday, patients leaving before being seen, the hour of discharge across all patients rather than the share before noon, inpatient mortality and length of stay for patients admitted through the emergency department and staff reports of how often the simple rules were met.
Limits
The Singer study comes from one hospital, and its boarding times may not match Paterson's patients. Simple rules will not create beds the hospital lacks. If occupancy stays above 95 percent, capacity has to be addressed. Learning sessions take staff time, and their value will be hard to measure in the first months.
Conclusion
Boarding at Paterson is a pattern produced by the whole hospital. The machine view explained why past fixes faded. Complexity science and Safety-II pointed to a few rules and to learning from good days, an approach that fits a system that adapts whether leaders plan for it or not.
References
Braithwaite, J., Wears, R. L., & Hollnagel, E. (2015). Resilient health care: Turning patient safety on its head. International Journal for Quality in Health Care, 27(5), 418-420. https://doi.org/10.1093/intqhc/mzv063
Plsek, P. E., & Wilson, T. (2001). Complexity, leadership, and management in healthcare organisations. BMJ, 323(7315), 746-749. https://doi.org/10.1136/bmj.323.7315.746
Singer, A. J., Thode, H. C., Viccellio, P., & Pines, J. M. (2011). The association between length of emergency department boarding and mortality. Academic Emergency Medicine, 18(12), 1324-1329. https://doi.org/10.1111/j.1553-2712.2011.01236.x
Reading the NUR 8420 Module 4 assignment instructions
Complexity science appears by name in TESU's catalog paragraph for NUR-8420, and because the syllabus opens only for those registered, module four takes shape as a complexity analysis of a system problem. Count on writing a DNP leadership paper that defines a problem with data, explains complexity science and contrasts it with mechanical models of organizations, shows how the problem emerges from interactions among parts, uses a related idea, such as resilience or Safety-II, to learn from what goes right and proposes changes that set direction without scripting every step. Other sections apply complexity to a merger, an electronic record rollout or a workforce crisis. Note whether the brief requires a named complexity concept and whether measures are part of the grade.
Inside the NUR 8420 Module 4 example
The invented Paterson hospital's boarding figures and failed past remedies open the paper. A study tying boarding time to mortality establishes the safety stakes. Plsek and Wilson's machine and adaptive-system views are explained, and the boarding pattern is traced to sensible local choices. Safety-II turns attention to good days, and a three-row table shows what each view asks and finds. Four simple rules and monthly learning sessions follow, then measures, limits and a conclusion. Annotations explain the value of describing the pattern first and of frameworks that change what a leader looks for. A short paragraph shows how frontline staff cut the rules from eleven to four.
NUR 8420 Module 4 rubric: what earns full marks
In a complexity paper, mentors look for the theory explained in plain terms and applied to a specific problem, an account of how the problem emerges from interactions, attention to what goes right as well as what fails and recommendations that leave room for adaptation while keeping clear direction. Credit goes to papers that explain why earlier fixes faded. Using staff accounts of good days shows that the author practiced the idea, not only cited it. Measures that track the pattern across the system, not only one department, are often noted, as is a frank statement that rules cannot replace missing capacity. Accurate citations of the original authors complete the work.
NUR 8420 Module 4 help from the desk
Many students name complexity science and then propose a detailed new process, which contradicts the theory; propose a few rules and a way to learn. Another frequent problem is blaming one department for a pattern the whole hospital produces. Use the language of the theory correctly, defining emergence and adaptation before relying on them. Study good days as well as bad ones. Say what simple rules cannot fix, and involve the staff who will follow them in writing them. The Paterson boarding paper can serve as a model, and the desk will draft a first version for your setting and your brief at no cost.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official Thomas Edison State University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
More NUR 8420 and Doctor of Nursing Practice sample papers
- NUR 8420 Module 1: Quality Frameworks Paper: Donabedian, the Six Aims and the Triple Aim Applied to a Board Scorecard
- NUR 8420 Module 2: Systems Analysis Paper: A Duplicate Heparin Bolus Traced With SEIPS and the Swiss Cheese Model
- NUR 8420 Module 3: Stakeholder Analysis Paper: Consolidating a Rural Maternity Unit Using Salience Theory
- NUR 8420 Module 5: Outcomes Management Paper: Sepsis Measures, Sepsis-3 and Clinical Surveillance Data
- NUR 8420 Module 6: Business Case Paper: Infection Prevention, Preventable Fractions and Who Keeps the Savings
- NUR 8050 Module 1: Research Process Paper: A PICOT Question on Hospital Pneumonia
- NUR 8200 Module 3: Prevention Program Paper: Diabetes Prevention Program, Fifteen-Year Results and the National DPP
- NUR 8000 Module 4: Ethics Paper: Moral Distress on a Step-Down Unit
- NUR 8150 Module 2: Implementation Risk Paper: CPOE Error Pathways, a Mortality Warning and a Safer Go-Live Plan
NUR 8420 Module 4 questions, answered
Where can I find a free NUR 8420 Module 4 sample paper?
The complexity paper on emergency boarding at an invented Paterson hospital, from the boarding data to the four simple rules, appears above in full.
What is a complex adaptive system?
A web of agents, here staff and patients, who each act on what they know, change one another's conditions and together create patterns that nobody planned.
What is the difference between Safety-I and Safety-II?
Safety-I studies what goes wrong and aims for as little harm as possible; Safety-II studies how work usually succeeds under changing conditions.
Is emergency department boarding linked to mortality?
Yes. In one academic hospital, Singer and colleagues found death rates and total stays rising together as hours spent boarding went up.
Why use simple rules instead of a detailed plan?
In an adaptive system, detailed plans are soon overtaken, while a few clear rules set direction and let units find their own ways to meet them.