DNP education can change how a clinician interprets a recurring problem. Patient care still happens one encounter at a time, but repeated problems begin to raise a different question: is something in the surrounding system contributing to what keeps happening?

A medication may be prescribed appropriately and never obtained because of cost. A referral may be entered correctly and fail because the patient cannot be reached. A policy may reflect current evidence while actual practice varies across clinicians. A workflow may solve a problem for one department while creating delays somewhere else.

These situations require clinical judgment, but they also require a way to examine patterns, evidence, processes, and outcomes. AACN identifies systems-based practice, scholarship, and quality and safety among the domains of advanced nursing education (American Association of Colleges of Nursing [AACN], 2026). Those competencies support a more structured approach to recognizing and improving recurring problems.

Recognize the Pattern

Healthcare produces recurring frustrations that are easy to notice and harder to define. A specimen may need to be recollected. Patients may return because follow-up did not occur. A referral process may repeatedly fail at the same point.

During clinical care, the immediate priority is usually to address the problem and keep care moving. Improvement work begins when repeated observations are examined as a possible pattern. That requires more precise questions: How often does the problem occur? Where in the process does it happen? Who is most affected? Does it create delays, additional work, safety concerns, cost, or poorer outcomes? Are data already available that describe it?

A broad concern such as poor follow-up provides little direction. A defined pattern involving a specific population, setting, process, and measurable consequence creates a much stronger basis for investigation.

Define the Problem With Data

Observation can identify a possible problem, but data help determine whether the pattern actually exists and how important it is. The easiest measure to obtain is not always the most useful. A project focused on a discharge referral pathway, for example, might count how many referrals were entered. That tells you whether the process is being used, but it does not tell you whether patients were reached or whether follow-up actually occurred.

Improvement work often uses a combination of process, outcome, and balancing measures. The Institute for Healthcare Improvement describes these as complementary ways to determine whether a change is being carried out, whether the intended result is improving, and whether the change is creating problems elsewhere (Institute for Healthcare Improvement [IHI], n.d.).

Type of measure	What it helps determine
Process measure	Whether the steps expected to produce improvement are occurring
Outcome measure	Whether the clinical or system result the project was intended to influence changed
Balancing measure	Whether improvement in one area created an important problem elsewhere

Suppose a clinic creates a follow-up pathway for patients with newly identified hypertension. The percentage of eligible patients referred could serve as a process measure. Completion of follow-up within a defined period could be an outcome. Added staff workload or excessive demand on the receiving service might function as a balancing measure.

Measurement should correspond to the problem the project is trying to solve. Collecting data simply because they are available can produce a project that is easy to measure but difficult to interpret.

Let the Evidence Reshape the Idea

Recognizing a problem does not identify the intervention that should follow. A workflow may feel inefficient without producing measurable harm. A longstanding practice may appear outdated while remaining supported by current evidence. An intervention that works well elsewhere may have been tested in a population, staffing model, or clinical environment that differs substantially from the setting considering adoption.

Evidence appraisal helps determine what is already known before resources are committed to changing practice. AACN describes advanced nursing scholarship as including the synthesis, translation, application, and dissemination of knowledge to improve health and healthcare (AACN, 2026).

That requires looking beyond whether a study reported a favorable conclusion. Study design, population, outcome selection, effect magnitude, uncertainty, limitations, and applicability all influence how much weight the findings deserve.

The literature may also change the way the original problem is understood. Evidence may show that the proposed intervention has little support, that another strategy performs better, or that the presumed cause of the problem is incomplete.

Fit the Change Into the Real Workflow

An evidence-supported intervention still has to function inside an existing healthcare system. A new process has to fit staffing patterns, documentation systems, available resources, patient circumstances, professional responsibilities, and the capacity of other departments affected by the change. The people expected to carry out the work also need to understand how the change fits into what they already do.

Consider a follow-up intervention after discharge. Evidence may support timely contact, but the local system still has to determine who qualifies, who identifies eligible patients, how the referral occurs, what information is transferred, who assumes responsibility afterward, and what happens when the patient cannot be reached. A failure at any point may prevent the intervention from reaching the patient even when the clinical rationale is sound.

Improvement can also create new problems. A screening process may identify more patients who need services and overwhelm the receiving program. Additional documentation may improve data collection while increasing workload enough to reduce adherence. Standardization may reduce unwanted variation while working poorly for patients whose circumstances do not fit the pathway.

Frontline clinicians and other stakeholders often see these dependencies early. Their involvement can identify workflow barriers, resource constraints, and unintended consequences before implementation problems become embedded in the process.

Measure Whether Anything Actually Improved

Implementing a new process demonstrates that something changed, but it does not establish that the original problem improved. A project can be well supported by evidence and still produce little change in the intended outcome. Staff may use the intervention differently than expected, eligible patients may never receive it, or the intervention may address only one part of a more complicated problem.

Implementation data help distinguish some of those possibilities. If few eligible patients receive the intervention, the problem may lie in the workflow or implementation strategy. If the intervention reaches the intended population reliably and the outcome remains unchanged, the intervention, outcome measure, or assumptions behind the project deserve closer examination.

The findings should be allowed to support continuation, modification, additional testing, or discontinuation. IHI places measurement at the center of determining whether a change actually represents improvement (IHI, n.d.).

Learning to See the Pattern

Emergency care makes the connection between individual encounters and larger systems especially visible. Acute illness can intersect with medication access, transportation, housing, fragmented follow-up, behavioral health needs, or difficulty navigating outpatient care. Inside the department, a repeated delay or communication failure can affect several parts of the workflow.

DNP education has given me a more systematic way to interpret those observations. A recurring frustration becomes more useful when I can define the problem, determine whether the pattern is supported by data, examine the evidence, understand the workflow around it, and measure what happens after a change is introduced.

That is the part of systems thinking I expect to carry beyond any single DNP project. Clinical problems will always appear one patient at a time. The ability to recognize when those individual problems form a larger pattern creates an opportunity to improve the system producing them.

References

American Association of Colleges of Nursing. (2026). The Essentials: Core competencies for professional nursing education. https://www.aacnnursing.org/Portals/0/PDFs/Publications/Essentials-2026.pdf

Institute for Healthcare Improvement. (n.d.). Model for Improvement: Establishing measures. Retrieved August 8, 2026, from https://www.ihi.org/library/model-for-improvement/establishing-measures