The Learning Model — Lab Command
The fidelity gap

Textbooks teach laboratory management. They cannot hand you a laboratory to manage.

That distance — between reading about laboratory operations and being responsible for them — is the fidelity gap.

This page is about how much of the real operating environment can be restored — and what it takes to restore it.

01 — Where the gap sits

The same laboratory problem, in four learning formats.

02 — Simulation design

Healthcare simulation scholarship distinguishes physical, conceptual and psychological fidelity.

These dimensions can vary independently. For a management simulation, the design question is not how closely the interface resembles a laboratory, but which parts of the operating environment must behave like one.

Physical fidelity

How closely the environment looks and feels like the real setting.

Deliberately low. There is no analyzer to load, no specimen to spin, no bench to stand at. A laboratory director's day is spent in reports, records, conversations and meetings — reproducing the instrument adds cost and teaches nothing about managing one.

Low by design

Conceptual fidelity

Whether the relationships between elements behave the way they do in practice.

This is where the investment goes. Overtime rises when vacancy rises. Turnaround degrades when coverage thins. A denied capital request forces a workaround that shows up in quality three rounds later. If the causal structure is wrong, learners rehearse a false model of how laboratories work — the one failure mode a management simulation cannot survive.

Maximized

Psychological fidelity

Whether the learner experiences the pressures of the real role.

Built through constraint rather than realism: finite attention, incomplete evidence, competing stakeholders, decisions that cannot be unmade, and an executive who will ask why. A learner who feels no cost in choosing is not practicing management.

Maximized

The distinction matters because a simulation can look convincing and still model the wrong relationships.

The evidence

The three-dimension framing of simulation fidelity — physical, conceptual and psychological — comes from work on what actually drives engagement and transfer in healthcare simulation, rather than from how closely an environment resembles its referent.

Dieckmann, Gaba & Rall, 2007 · Rudolph, Simon & Raemer, 2007

Full references are listed in Sources.

03 — Sources

The scholarship behind it.

The scholarship this argument draws on, in APA form. Lab Command's design decisions are ours; the underlying findings are not.

American Society for Clinical Laboratory Science. (n.d.). Scope of practice and personnel standards.
Bishop, D., & Honeycutt, K. (2018). Medical laboratory science graduate management curriculum development using managerial survey responses. Clinical Laboratory Science, 31(3).
Bishop, D., & Honeycutt, K. (2020). Medical laboratory science undergraduate management curriculum development using practitioner reported job tasks. Clinical Laboratory Science.
Clark, K. M., & Hoffman, A. (2019). Educating healthcare students: Strategies to teach systems thinking to prepare new healthcare graduates. Journal of Professional Nursing, 35(3), 195–200.
Dieckmann, P., Gaba, D., & Rall, M. (2007). Deepening the theoretical foundations of patient simulation as social practice. Simulation in Healthcare, 2(3), 183–193.
Gegenfurtner, A. (2011). Motivation and transfer in professional training: A meta-analysis of the moderating effects of knowledge type, instruction, and assessment conditions. Educational Research Review, 6(3), 153–168.
Gulikers, J. T. M., Bastiaens, T. J., & Kirschner, P. A. (2004). A five-dimensional framework for authentic assessment. Educational Technology Research and Development, 52(3), 67–86.
Ocasio, W. (1997). Towards an attention-based view of the firm. Strategic Management Journal, 18(S1), 187–206.
Ocasio, W., Laamanen, T., & Vaara, E. (2018). Communication and attention dynamics: An attention-based view of strategic change. Strategic Management Journal, 39(1), 155–167.
Rudolph, J. W., Simon, R., & Raemer, D. B. (2007). Which reality matters? Questions on the path to high engagement in healthcare simulation. Simulation in Healthcare, 2(3), 161–163.
Sawyer, T., Eppich, W., Brett-Fleegler, M., Grant, V., & Cheng, A. (2016). More than one way to debrief: A critical review of healthcare simulation debriefing methods. Simulation in Healthcare, 11(3), 209–217.
Villarroel, V., Bloxham, S., Bruna, D., Bruna, C., & Herrera-Seda, C. (2018). Authentic assessment: Creating a blueprint for course design. Assessment & Evaluation in Higher Education, 43(5), 840–854.