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Boards of nursing decide how much simulated clinical experience can replace traditional placement hours, and the answer ranges from 25 percent to 50 percent depending on the jurisdiction. Here is where those numbers come from, what conditions attach to them, and how virtual and AI-driven simulation is currently treated.
By The ngnsimulation team
Simulation substitution is the practice of counting supervised simulated clinical experience toward the clinical hours a prelicensure nursing program is required to deliver. Whether it is permitted, and how much of it, is decided by the board of nursing in the jurisdiction where the program is approved. It is not decided by the program, by its accreditor, or by the vendor supplying the simulation.
The question used to be academic. It is now a capacity question, and capacity is the binding constraint on health-professions education across North America. Data the American Association of Colleges of Nursing released in May 2026 put the number of qualified applicants turned away from US nursing programs at 93,176 for the 2025 to 2026 academic year, an increase of close to 30,000 in two years. When programs are asked why they cannot admit more students, insufficient clinical placement sites is among the most frequently cited barriers, named by more than 60 percent of programs alongside faculty vacancies, preceptor availability, and budget.
Most of those constraints sit outside a program's unilateral control. A dean cannot conjure placement seats a health authority has not agreed to, and cannot hire doctorally prepared faculty who are not applying. Simulation substitution is one of the few levers that sits inside the program's own planning, which is why the regulatory ceiling on it has become a live budget question rather than a curriculum footnote.
The number anchoring every conversation on this subject comes from the National Council of State Boards of Nursing. Its National Simulation Study, a longitudinal randomized controlled study of prelicensure programs published in the Journal of Nursing Regulation, compared students in a traditional clinical control group against groups in which 25 percent and then 50 percent of traditional clinical time was replaced with simulation. The study found no meaningful differences in clinical competency, in NCLEX pass rates, or in readiness for practice as judged by the new graduates' first employers.
That result is frequently compressed into the claim that half of clinical hours can be simulated. The compression loses the part that matters most to a program trying to rely on it. The conclusion was conditional on high-quality simulation: trained faculty facilitating it, adequate equipment and environment, a theoretical framework underpinning the design, and structured debriefing. NCSBN published its Simulation Guidelines for Prelicensure Nursing Programs precisely to codify those conditions, because the finding does not transfer to simulation delivered without them.
Boards of nursing then adopted, adapted, or declined the guideline independently, which is why there is no single answer to the question in the title of this article.
Published summaries of state regulation show three broad positions on the maximum share of clinical hours a program may replace with simulation.
| Cap on simulation | Jurisdictions reported at this level | What it means in practice |
|---|---|---|
| 50 percent | 22 boards of nursing as of 2021, up from one | The NCSBN guideline maximum, and now the most common position among US boards. |
| 30 percent | District of Columbia, Oklahoma | Substitution is accepted but deliberately held below the national guideline. |
| 25 percent | California, Illinois, Indiana, Mississippi, Nevada, Vermont, Virginia | Simulation supplements placement rather than substantially replacing it. |
| Conditional on accreditation | Colorado | Up to 50 percent for an accredited program, 25 percent for a program that is not. |
Two cautions about that table. First, it is a snapshot of published regulatory summaries rather than legal advice, and boards revise these rules on their own schedules. Confirm the current position with the board that approves your program before building a curriculum plan on any number in it. Second, a cap expressed as a percentage still requires a denominator. Whether the ceiling applies per course, per clinical rotation, or across the whole curriculum changes what it permits, and boards differ on that too.
Several jurisdictions attach a conversion ratio to simulated hours in addition to a cap. Washington provides the clearest recent example. Under a rule effective October 24, 2024, one hour of simulation counts as two hours of the required clinical and direct patient care experience, while simulation-based learning hours may still not exceed 50 percent of the clinical hours for a particular course.
The two provisions pull in opposite directions and have to be read together. The ratio makes each simulated hour worth more against the requirement, reducing the number of scheduled hours needed to satisfy it. The cap prevents the ratio from being used to displace live clinical experience wholesale. A program reading only the ratio will overestimate what it can substitute; one reading only the cap will underestimate the scheduling relief available. Reviews of regulation across the United States and Canada report ratios ranging from one to one up to two to one, so this is not unique to a single state.
This is where most programs actually get stuck, and where the regulatory record is least helpful. A review of the advancement of simulation regulations through 2024 found virtual simulation mentioned in the rules of 12 US states. In Canada, regulations did not elaborate on virtual simulation, simulation best practice, or accreditation standards at all. The great majority of simulation rules in force today were written with a laboratory, a high-fidelity manikin, and a faculty facilitator in the room in mind.
Silence in a rule is not permission, and it is not prohibition either. It means the question gets decided the first time a board reviews the program's evidence, which puts the burden of proof on the program. In practice three questions tend to settle it.
Boards consistently describe simulation as a facilitated experience, not an assignment a student completes alone. A platform used entirely without faculty involvement looks like homework in the regulatory record, however sophisticated the interaction inside it. The same platform used inside a structured session that faculty prebrief, supervise, and debrief looks like simulation.
The conditions attached to simulation substitution are largely modality-neutral: written objectives mapped to course outcomes, a trained facilitator, prebriefing, a structured debriefing grounded in a recognised framework, and a defined method of evaluating student performance. A screen-based experience meeting all of them has a serious case. One meeting none of them does not, and the fidelity of the underlying technology will not rescue it.
This distinction does more work than any other, and it is worth being blunt about. A question bank is not simulation. Neither is a branching video with a quiz at the end. What the rules describe is an experience in which a student encounters an unresolved clinical situation, gathers information, forms and revises a judgement, acts, and is then held accountable for that reasoning in debriefing. An AI-driven patient encounter that behaves unpredictably and requires the student to assess, prioritise, and intervene is materially closer to that description than any static content, and the case for it should be argued on that basis rather than on the technology.
Canadian programs face the same question with less to go on. With defined simulation policy in only two of 13 provinces and territories as of 2024, most Canadian programs are negotiating against approval standards that do not state a percentage at all. That cuts both ways. There is no published ceiling to argue under, but there is also no published safe harbour, so the evidence a program brings to its approving body carries proportionally more weight.
The practical consequence is that Canadian programs should document simulation equivalence more thoroughly than their US counterparts, not less. Where a US program can point to a rule and demonstrate compliance with it, a Canadian program is often making the underlying argument from first principles: these objectives, this evidence of competency attainment, this evaluation method. Role and regulator detail by jurisdiction is at the licensure map.
Regardless of jurisdiction, the record that survives review looks much the same. A program intending to count simulated hours should be able to produce, for each experience:
Programs treating this as paperwork generated after the fact usually find the record does not support the claim. Programs that design the documentation into the simulation itself generally find review straightforward, because the evidence is a by-product of running the session properly.
It is worth separating two benefits that routinely get conflated. The first is regulatory: hours that formally count against a clinical requirement, subject to the caps and conditions above. The second is operational, and it applies even where no hour can be substituted at all. A large share of placement and laboratory time is consumed by structured repetition, the tenth patient assessment, the rehearsed handoff, the OSCE run-through, which a student can complete against a simulated patient without booking a bay, a manikin, or a preceptor. Moving that repetition off the placement schedule concentrates scarce supervised time on the judgement that genuinely requires a live setting, whether or not a regulator ever counts the hour.
Programs planning only around the first benefit tend to conclude that a 25 percent cap makes simulation marginal. Programs planning around both usually find the operational effect is the larger of the two. The longer argument for treating simulation as capacity infrastructure rather than a study-tools purchase is at expand nursing program capacity without more clinical placements, and the division-level version at training capacity is the metric that matters.
To see how unscripted AI patient encounters are built, run, and debriefed, see clinical simulation. To estimate the placement and laboratory hours a specific division could offset, the ROI estimator walks through the arithmetic.
Try a real clinical-judgment question and see the reasoning coached step by step.