Cognitive biases in diagnosis and decision making during anaesthesia and intensive care

Teamwork matters: team situation awareness to build high-performing healthcare teams, a narrative review

Healthcare today is the prerogative of teams rather than of individuals. In acute care domains such as anaesthesia, intensive care, and emergency medicine, the work is complex and fast-paced, and the team members are diverse and interdependent. Three decades of research into the behaviours of high-performing teams provides us with clear guidance on team training, demonstrating positive effects on patient safety and staff wellbeing. Here we consider team performance through the lens of situation awareness. Maintaining situation awareness is an absolute requirement for safe and effective patient management. Situation awareness is a dynamic process of perceiving cues in the environment, understanding what they mean, and predicting how the situation may evolve. In the context of acute clinical care, situation awareness can be improved if the whole team actively contributes to monitoring the environment, processing information, and planning next steps. In this narrative review, we explore the concept of situation awareness at the level of the team, the conditions required to maintain team situation awareness, and the relationship between team situation awareness, shared mental models, and team performance. Our ultimate goal is to help clinicians create the conditions required for high-functioning teams, and ultimately improve the safety of clinical care.

Adaptive Human-Robotic Interaction for Robotic-assisted Surgical Settings

INTRODUCTION

Increased complexity in robotic-assisted surgical system interfaces introduces problems with human-robot collaboration that result in excessive mental workload (MWL), adversely impacting a surgeon's task performance and increasing error probability. Real-time monitoring of the operator's MWL will aid in identifying when and how interventions can be best provided to moderate MWL. In this study, an MWL-based adaptive automation system is constructed and evaluated for its effectiveness during robotic-assisted surgery.

MATERIALS AND METHODS

This study recruited 10 participants first to perform surgical tasks under different cognitive workload levels. Physiological signals were obtained and employed to build a real-time system for cognitive workload monitoring. To evaluate the effectiveness of the proposed system, 15 participants were recruited to perform the surgical task with and without the proposed system. The participants' task performance and perceived workload were collected and compared.

RESULTS

The proposed neural network model achieved an accuracy of 77.9% in cognitive workload classification. In addition, better task performance and lower perceived workload were observed when participants completed the experimental task under the task condition supplemented with adaptive aiding using the proposed system.

CONCLUSIONS

The proposed MWL monitoring system successfully diminished the perceived workload of participants and increased their task performance under high-stress conditions via interventions by a semi-autonomous suction tool. The preliminary results from the comparative study show the potential impact of automated adaptive aiding systems in enhancing surgical task performance via cognitive workload-triggered interventions in robotic-assisted surgery.

Systems, safety, and anaesthesia outside the operating room

An increasing number of patients are receiving sedation or anaesthesia in locations outside of the operating room. Compared with the operating room, anaesthesia providers working in a non-operating room anaesthesia (NORA) location report significantly lower perceived levels of safety, and higher levels of anxiety, stress, and workload. These results are likely to affect the well-being of staff in NORA locations and are clinically relevant in terms of patient safety.

Methaemoglobinaemia due to alkyl nitrites in a patient with suspected traumatic injuries

A man in his 60s with no relevant previous medical history presented to an urban, major trauma centre by ambulance after being found with a head injury in a nightclub. The paramedics reported he was hypoxic, hypotensive and tachycardic with altered mental status. At the emergency department, he had oxygen saturations of 85% despite high-flow oxygen and was hypotensive at 88/43mmHg. We were concerned the patient was haemorrhaging given the lack of response to oxygen therapy and their hypotension. However, an arterial blood gas (ABG) established a diagnosis of methemoglobinaemia. Methylthioninium chloride was promptly administered, and the patient's condition improved. He later reported using recreational drugs, including alkyl nitrites ('poppers'). He was monitored until his fraction of methaemoglobin returned to normal baseline levels with serial ABGs. He was discharged 24 hours later. It was suspected that his use of alkyl nitrites was the most likely cause of methaemoglobinaemia.