The Pattern and the Patient

Governing Care  ·  Cognitive Architecture Series  ·  Article 1 of 6

How Expert Paramedicine Reads What Protocols Cannot

Nikiah G. Nudell, PhD(c), MS, MPhil, NRP, WP-C

Executive Director, Northeast Colorado Regional EMS and Trauma Advisory Council  ·  Paramedic Scientist, The Paramedic Foundation  ·  Chairman, American College of Paramedics. Views expressed are his own.

Any experienced paramedic can identify the moment a trainee stops consulting the protocol and starts reading the case. The recognition arrives before the protocol would have gotten there: the sepsis patient who is still normotensive but clinically wrong, the trauma patient whose mechanism and trajectory signal instability before the numbers do, the pediatric patient whose presentation shifts meaning entirely once you notice how the parents are positioned in the room. That shift from rule-checking to pattern-reading is what clinical expertise looks like from the outside. “Two Ways of Knowing: The Epistemological Foundation of Paramedicine and Why It Changes Everything,” the parent article for this series, names the framework behind it: paramedicine has been governed nomothetically while practiced idiographically. Recognition-primed decision making is the cognitive mechanism at the center of that idiographic practice. It is also the mechanism that directive governance is least equipped to develop.

The Structure of Expert Decision Making

The most influential empirical account of how experts make decisions under time pressure does not come from paramedicine. Gary Klein’s research, conducted in the late 1980s with fireground commanders and subsequently extended across military, aviation, and intensive care settings, produced a model that remains the most empirically grounded account of expert decision-making in high-stakes operational environments: recognition-primed decision making (Klein, 1998).

The model’s central finding cuts against how most professional training is designed. Experts confronting complex, time-constrained situations do not generate a set of options, evaluate each against criteria, and select the best. They recognize the situation as belonging to a category they have encountered before, identify the action that worked in analogous situations, run a rapid mental simulation to assess whether it will work here, and act. The deliberate analytical model of decision-making (the one that competency frameworks and protocol architectures implicitly assume) describes what novices do when they are uncertain. It does not describe what experts do when they are functioning well.

Dreyfus, Dreyfus, and Athanasiou (1986) characterized the transition from novice to expert as a progressive shift away from explicit rule-following toward context-sensitive intuitive response. The novice follows rules because rules are what novices have. The advanced beginner begins to recognize situational patterns that complicate rule-application. As competence develops, the practitioner organizes complexity into manageable wholes rather than working through it sequentially. The proficient practitioner sees situations holistically and recognizes appropriate responses without deliberation. The expert acts from a deep pattern library that makes the situation self-interpreting: the action follows from the recognition, not from a sequential process.

Ericsson et al. (1993) specified the mechanism through which this pattern library is built: deliberate practice conducted at the edge of current competence, with immediate and specific feedback, over extended periods. The implication is not that expertise simply takes time. It is that expertise requires a specific kind of practice: repeated engagement with cases that stretch and refine recognition capacity, not repeated engagement with cases that can be handled by applying the same rule. A training environment that presents learners predominantly with normative cases deepens rule familiarity. It does not build the pattern library that recognition-primed performance requires. Sedlár’s (2020) systematic review of cognitive skills in EMS confirmed the centrality of pattern-based cue integration and situation awareness to prehospital performance, and documented a significant gap: limited observable markers of expert cognitive behavior, and a research base that had not fully articulated what the transition from competent to expert prehospital practice actually looks like.

When a deteriorating patient depends on the clinician’s immediate recognition, routine retreat into protocol-checking is usually not a sign of expertise. It may be a sign that the practitioner has not yet built the pattern library the environment requires.

Kahneman’s (2011) dual-process framework offers a complementary account. System 1 is fast, associative, pattern-based, and automatic: it is the mode in which expertise operates. System 2 is slow, deliberate, sequential, and effortful: it is the mode that explicit rule-application requires. Croskerry (2009), applying this framework directly to clinical decision-making, proposed it as the basis for understanding both expert clinical performance and the diagnostic failures that produce adverse outcomes. Those failures arise not from too much clinical intuition, but from uncalibrated intuition and from the misapplication of deliberative reasoning to situations that require pattern-based response.

Applied to paramedicine, the governance implication is direct. A directive system designs training and competency evaluation around reliable, correct System 2 output: did the practitioner follow the protocol correctly? It rarely asks whether the practitioner has developed the well-calibrated, pattern-trained System 1 capacity that the prehospital environment actually demands. Protocol retrieval during active resuscitation is not a marker of thoroughness. It usually marks a failure of the kind of judgment expert training is supposed to build.

What the Prehospital Environment Demands

Paramedicine does not have the supports that make slower deliberative reasoning possible in other clinical settings. There is no available differential consultation. There is no radiologist. There is no second attending to absorb cognitive load while the first reviews options. There is no quiet room, no time-out while the patient continues in a stable monitored environment. The prehospital setting is characterized, by definition, by incomplete information, time compression, environmental unpredictability, and the near-total absence of the scaffolding that hospital-based medicine has built to support clinical reasoning.

These conditions make a specific cognitive demand. The practitioner who cannot integrate cues rapidly into a coherent situational picture, recognize the pattern that picture most closely resembles, and act from that recognition is not merely slower than one who can: they are operating in a mode the prehospital environment cannot support. The information required for deliberative analysis frequently does not arrive in time to be useful. The mental space required for sequential option evaluation is foreclosed by the concurrent demands of scene management, crew coordination, family interaction, and ongoing physical assessment.

Consider the patient whose work of breathing has subtly worsened over the past four minutes, whose skin color has changed in a way that is not yet measurable, whose fatigue is beginning to shift what had been a self-maintained airway. Nothing on the monitor requires action yet. The experienced clinician has already moved. The practitioner working from sequential protocol review has not yet received the signal. The difference between those two responses is not speed. It is cognitive mode. This is the specific performance requirement that the prehospital environment imposes: pattern-based processing, demanded at a level of intensity that exceeds its hospital-based analog, not approximates it.

The emergency physician who encounters an unusual presentation has colleagues, time to pursue additional diagnostics, and established channels for escalation. The paramedic who encounters an unusual presentation has a partner, the scene as configured on arrival, and a transport window. These are not analogous cognitive environments. Ivankovic et al. (2023), using functional near-infrared spectroscopy to measure prefrontal cortical activity in EMS providers during simulated pediatric cardiac arrest, documented elevated cognitive load specifically during medication administration, defibrillation, and rhythm checks: precisely the moments at which protocol retrieval would compete most directly with pattern-based recognition. The cognitive demands of prehospital resuscitation are not inferred from operational description. They are measured.

Van Noordenburg, Jacob, and Devenish (2026), in a cross-sectional study of paramedic preceptors’ views on the attributes required for effective preceptorship, identified integrative clinical judgment, cue synthesis, and situation-specific reasoning as the capacities preceptors regard as most critical to the transition from competent to expert prehospital practice. What preceptors describe as marking that transition is consistent with recognition-primed theory: the shift from sequential checklist application to holistic case reading. That this finding comes from a preceptor survey rather than from a formal cognitive assessment framework is itself significant: expert prehospital cognition is recognized in practice, given a name in conversation, and passed down through clinical culture. It has not yet been built into the governance structures responsible for developing it.

The prehospital environment also imposes this demand at the crew level. The crew-of-two constraint means the clinical capacity of both practitioners is simultaneously engaged: there is no senior clinician available to absorb load when one crew member is at capacity. A system that produces practitioners who cannot function in pattern-recognition mode does not produce a crew that struggles. It produces a scene that fails.

The Mechanism of Directive Suppression

Makrides, Ross, Gosling, Acker, and O’Meara (2022; 2023a; 2023b) identified two governance architectures for the Anglo-American paramedic system: the directive model, which governs through protocol compliance, rule specification, and hierarchical clinical authority; and the professionally autonomous model, which positions professional judgment as the primary accountability mechanism. The directive model does not only constrain expert judgment in the field. Its more consequential effect operates earlier, in training. Drawing on Lipsky’s (1980) observation that practitioners in direct-service roles develop discretionary routines in response to institutional constraints, and that those routines become the working practice regardless of what training formally intends, the pattern in directive paramedicine is predictable: practitioners learn, through cumulative institutional experience, that legitimate decision-making is bounded by protocol. That is not a formal instruction. It is what the evaluation architecture communicates.

Competency frameworks built on protocol application evaluate observable compliance with specified steps. This is not trivial: protocol compliance has genuine safety functions for novice practitioners, and procedural accuracy matters in interventions with narrow technique margins. The structural problem is that a training and evaluation architecture built around observable compliance cannot assess the cognitive capacity it most needs to develop. Sedlár and Kaššaiová (2022), in a qualitative analysis of EMS team leaders, found that many of the markers most closely associated with quality and safety in prehospital practice are inherently unobservable: they are internal cognitive processes and interpretive communications that behavioral checklist frameworks cannot capture. A governance system that can only evaluate what it can observe will systematically measure the surface of expert performance while remaining blind to its substance.

The directive governance system does not merely fail to develop recognition-primed expertise. It builds, through the same institutional mechanisms it uses to build everything else, a practitioner oriented to defer judgment to the rule rather than to exercise it through the case.

O’Hara et al. (2015) documented how institutional factors shape paramedic decision-making in ways that are rarely explicit and rarely examined. Their findings described a clinical environment in which practitioners learn, through repeated institutional messaging, that legitimate decision-making is defined by protocol boundaries rather than by professional judgment. The cognitive effect of this institutional learning is not that practitioners become incapable of judgment: it is that they develop a professional orientation that treats departure from protocol as requiring justification, rather than treating protocol as one clinical tool among others. Andersson et al. (2019), in an integrative review of clinical reasoning in EMS, documented the same pattern from the practitioner’s perspective: inadequate or contextually mismatched guidelines regularly require EMS clinicians to develop workarounds, and fear of institutional repercussion (including litigation and organizational blame) shapes how and whether clinicians act on their own reasoning. In directive paramedicine, this constraint is not a side effect. It is built into the training architecture.

Newton-Riner (2020) characterized paramedicine as a profession still at the professional crossroads: one whose educational aspirations have outpaced its governance infrastructure. The cognitive dimension of that gap is underweighted in most of the professionalization literature. A practitioner who emerges from directive-model training carrying degree credentials and aspirations to professional autonomy has not necessarily acquired the kind of clinical judgment that professional autonomy requires. The degree signals educational attainment. The pattern library that expert prehospital practice demands is built through the quality and variety of clinical exposure, the feedback structures that accompany it, and the institutional messaging about what excellent practice looks like. Directive governance provides none of those three things in the form that expert formation requires.

The Case for Idiographic Competence Evaluation

The question is not how to add recognition-primed training modules to an existing directive framework. It is what the institutional conditions for expert cognitive formation actually require: the conditions that a professionally autonomous governance system (Makrides et al., 2022) must create if it intends to develop expert clinicians rather than competent rule-appliers.

Nomothetic competence evaluation asks: did the practitioner correctly apply the rule to this type of case? That question has genuine utility for novice assessment. It tells the evaluator relatively little about whether an experienced practitioner has developed the pattern recognition that expert prehospital practice demands. Idiographic competence evaluation asks a structurally different question: how did this practitioner handle the case that departed from the protocol’s assumed population? The sepsis patient who was still normotensive. The pediatric patient whose parents’ silence was the most important clinical finding on scene. What did the practitioner recognize, what did they fail to recognize, and how did their response compare to what an expert recognizer would have produced? That question is more demanding to design and more difficult to standardize. It is also the only question that gets close to what expertise actually is.

This is not an argument against protocols. Protocols serve genuine epistemic and safety functions across clinical settings and across practitioner experience levels. The issue is not the presence of protocols; it is the substitution of protocol compliance for expert formation. A governance system that measures compliance because that is what it can measure, and that treats that measurement as an adequate account of clinical expertise, will systematically under-invest in the cognitive formation that prehospital practice most requires. It will build practitioners who know the rules and struggle with the case the rules did not anticipate, which is precisely the case the prehospital environment produces most reliably.

Reed et al. (2019) argued that professional identity in paramedicine requires not only credential attainment but the development of a professional self with genuine authority over clinical judgment. What that professional self requires at the cognitive level is the recognition-primed pattern library that directive governance neither builds nor measures. Nursing made this transition explicitly: Benner (1984), drawing on the Dreyfus stages to articulate the clinical development arc from rule-dependent novice to context-free expert, provided the foundational account for nursing education reform that shifted the object of professional formation from rule-mastery to the development of intuitive clinical recognition. Paramedicine has not made the equivalent institutional move. The conditions for that move are structurally clear: varied clinical exposure across a wide range of presentations, including those that depart significantly from normative expectations; feedback structures that explicitly address recognition accuracy rather than merely protocol adherence; an educational culture that treats the case that departed from expectations as the most important learning opportunity rather than an audit flag; and governance accountability for the quality of clinical formation, not merely its completion.

Every experienced paramedic who has watched a protocol-compliant trainee struggle with the case the protocol did not anticipate already understands the core problem. The governance system has been measuring the wrong thing. It measures protocol compliance because that is what it can measure. What it cannot measure, and has not yet been built to develop, is the recognition-primed pattern library that expert prehospital practice actually runs on. That is an institutional design problem, not a practitioner problem, and it belongs to governance.

The next article in the series examines distributed cognition and scene structuring: how expert prehospital practice is distributed across the crew and the physical arrangement of the scene, not contained within the individual practitioner, and what it means for governance to treat those physical conditions as a logistics problem rather than a clinical design problem.

Cognitive Architecture Series Foundation: Two Ways of Knowing  ·  Article 1: The Pattern and the Patient (reading now)  ·  Article 2: The Scene Is the System  ·  Article 3: Lost in Translation (coming soon) ·  Article 4: The Managed Scene (coming soon)  ·  Article 5: Two Minds on One Call (coming soon)  ·  Article 6: Who You Think You Are (coming soon)

Read all Governing Care articles at americanparamedics.org

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This article was prepared with the assistance of Claude (Anthropic, claude-sonnet-4-6, accessed May 2026) for sentence-level editing and language consistency. All research, analysis, citations, and professional positions are the author's own. All citations were independently verified against publisher and PubMed records prior to publication.

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