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You Have Control: aviation communication application for safety-critical times in surgery.

ABSTRACT: High-risk organisations (HRO), including aviation, undergo formal communication training, with emphasis on safety-critical moments. Such training is not widespread or mandatory in healthcare, and while there are many differences both share the 'human element' with circumstances leading to an increased risk of harm. A typical operating theatre consists of an operating surgeon, and an assisting surgeon, roles that may change throughout the course of a procedure. Similarly, a training aircraft or multi-crew cockpit (flight deck) has a pilot in control, or 'pilot flying', and a 'pilot not flying'. Both interact with wider teams, for example the scrub team and air traffic controllers, respectively. Surgical error is the second most prevalent cause of preventable harm to patients after drug errors. Every year in the UK National Health Service (NHS), there are typically 500 never events, 21,000 serious incidents, and many more episodes of physical or psychological harm. Ineffective communication (46%) is the most common behavioural factor leading to a never event. In this review, we examine the concept of 'sterile cockpit', use of unambiguous terminology, callsigns, important information readback, sharing of mental models, and the mini-brief, and how these may be used to reduce patient harm during safety-critical moments.

SUBMITTER: Hardie JA

PROVIDER: S-EPMC7449978 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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You Have Control: aviation communication application for safety-critical times in surgery.

Hardie J A JA Oeppen R S RS Shaw G G Holden C C Tayler N N Brennan P A PA

The British journal of oral & maxillofacial surgery 20200827 9

High-risk organisations (HRO), including aviation, undergo formal communication training, with emphasis on safety-critical moments. Such training is not widespread or mandatory in healthcare, and while there are many differences both share the 'human element' with circumstances leading to an increased risk of harm. A typical operating theatre consists of an operating surgeon, and an assisting surgeon, roles that may change throughout the course of a procedure. Similarly, a training aircraft or m ...[more]

PMID: 32933788

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Project description:BackgroundThe air traffic management (ATM) system has historically coped with a global increase in traffic demand ultimately leading to increased operational complexity. When dealing with the impact of this increasing complexity on system safety it is crucial to automatically analyse the losses of separation (LoSs) using tools able to extract meaningful and actionable information from safety reports. Current research in this field mainly exploits natural language processing (NLP) to categorise the reports,with the limitations that the considered categories need to be manually annotated by experts and that general taxonomies are seldom exploited.MethodsTo address the current gaps,authors propose to perform exploratory data analysis on safety reports combining state-of-the-art techniques like topic modelling and clustering and then to develop an algorithm able to extract the Toolkit for ATM Occurrence Investigation (TOKAI) taxonomy factors from the free-text safety reports based on syntactic analysis. TOKAI is a tool for investigation developed by EUROCONTROL and its taxonomy is intended to become a standard and harmonised approach to future investigations.ResultsLeveraging on the LoS events reported in the public databases of the Comisión de Estudio y Análisis de Notificaciones de Incidentes de Tránsito Aéreo and the United Kingdom Airprox Board,authors show how their proposal is able to automatically extract meaningful and actionable information from safety reports,other than to classify their content according to the TOKAI taxonomy. The quality of the approach is also indirectly validated by checking the connection between the identified factors and the main contributor of the incidents.ConclusionsAuthors' results are a promising first step toward the full automation of a general analysis of LoS reports supported by results on real-world data coming from two different sources. In the future,authors' proposal could be extended to other taxonomies or tailored to identify factors to be included in the safety taxonomies.

Dataset Information

You Have Control: aviation communication application for safety-critical times in surgery.

Publications

You Have Control: aviation communication application for safety-critical times in surgery.

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