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Abstract

Technology design is arguably the biggest foe in the ICU. Several researchers have attempted to integrate ICU information to reduce the cognitive burden on clinicians. However the abstraction-decomposition (ADS) framework increasingly used for modelling the ICU work domain has been subject to question in this context. This paper proposes an alternative framework based on the Viable Systems Model and the Recognition Primed Decision model from naturalistic decision theory. By acknowledging the biological nature of patient systems, the limitations of sensed data, the role of effector technology and the importance of diagnoses in patient management, it is anticipated that technology will become more friend than foe in the ICU.

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Patient Monitoring Systems for Effective Patient Management in the Icu: Friend or Foe?

Abstract

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