How to make better decisions and improve teamwork in the resuscitation room

The resuscitation room is among the most complex clinical environments in modern medicine, and a substantial proportion of preventable mortality stems from organizational, communicational, and decision-making failures rather than individual technical deficits. This review summarizes recent evidence across individual cognition, collective team intelligence, structured learning, and technological decision support to outline an integrated framework for optimizing resuscitation-room performance.

Cognitive overload, interruptions, and biases such as anchoring and premature closure consistently impair individual decision-making under pressure, while adaptive expertise and structured cognitive aids help offload working memory. At the team level, collective intelligence, shared mental models, closed-loop communication, and psychological safety increasingly outperform individual expertise as determinants of safety, though most supporting evidence remains simulation-based or process-based. Structured debriefing and trauma video review support systematic learning, with each T-NOTECHS point associated with roughly 11% fewer adverse events, yet debriefing timing shows no clear survival benefit. Technological decision-support tools show consistent gains in process measures (guideline adherence, cognitive load, time-based metrics), but high-quality evidence of patient-centred outcome improvement remains scarce, and voice-recognition or augmented (AR)/virtual reality (VR) integration remains preliminary and unvalidated operationally.

Optimizing resuscitation-room performance requires an integrated systems-based approach combining individual cognitive support, deliberate team design, structured collective learning, and cautiously implemented technology, while unresolved questions around deskilling, cognitive burden, and system resilience warrant further prospective, outcome-focused research.