2023
DOI: 10.1186/s13019-022-02065-5
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A distractions capture tool for cardiac surgery and lung transplantation: impact on outcomes

Abstract: Objectives Surgical distractions are associated with worse patient outcomes. Lung transplantation and cardiac surgery’s multi-disciplinary nature, and their inherent complexities render them more vulnerable to distractions. We aim to use a novel distractions capture tool to evaluate the severity of distractions during cardiac surgery (CS) and lung transplantation (LTx) and assess its impact on post-operative complications. Methods A prospective ‘bl… Show more

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Cited by 2 publications
(2 citation statements)
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“…The potential use of AI Large Language Models (LLM) such as ChatGPT, is postulated to aid in various aspects of cardiovascular surgery, which may include preoperative planning, intraoperative decision support, and even postoperative care. (49) As a Generative Pre-Trained Transformer (GPT) AI language model, its primary strength lies in its capacity to process large amounts of information and draw out the necessary and most relevant aspects. It is then able to summarize this data and provide concise and contextually appropriate almost human-like responses depending on the specific situation.…”
Section: Discussionmentioning
confidence: 99%
“…The potential use of AI Large Language Models (LLM) such as ChatGPT, is postulated to aid in various aspects of cardiovascular surgery, which may include preoperative planning, intraoperative decision support, and even postoperative care. (49) As a Generative Pre-Trained Transformer (GPT) AI language model, its primary strength lies in its capacity to process large amounts of information and draw out the necessary and most relevant aspects. It is then able to summarize this data and provide concise and contextually appropriate almost human-like responses depending on the specific situation.…”
Section: Discussionmentioning
confidence: 99%
“…First, performing usability testing prior to implementation helped determine areas of confusion which need to be rectified prior to implementation. Second, allowing participants to self-direct through the scenarios in a clinical area with frequent interruptions (i.e., in situ) is known to lower the threshold for errors 15,16 that could occur after implementation. Third, in situ usability improves the diversity of representation and increases the number of testing participants compared to traditional office-based usability testing.…”
Section: Manuscriptmentioning
confidence: 99%