British journal of anaesthesia
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Editorial Comment Review
Case duration prediction and estimating time remaining in ongoing cases.
In this issue of the British Journal of Anaesthesia, Jiao and colleagues applied a neural network model for surgical case durations to predict the operating room times remaining for ongoing anaesthetics. We review estimation of case durations before each case starts, showing why their scientific focus is useful. ⋯ Most cases have few or no historical data for the scheduled procedures. Generalizability of observational results such as theirs, and automatic computer assisted clinical and managerial decision-making, are both facilitated by using structured vocabularies when analysing surgical procedures.
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The IMPROVE study describes a large perioperative quality improvement project with reporting of both compliance with improvement activities and patient outcomes. It highlights the importance of such projects, as well as the challenges in implementing change and proving benefit. Challenges identified include the importance of effective training in practice change, selection of trial design and relevant quality measures, and how the context of quality improvement initiatives may influence outcomes. Quality improvement programmes of this nature, despite the difficulties with implementation and trial design, remain a high priority because of their positive influence on improving clinical practice.
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The prone position has been used to improve oxygenation in patients affected by acute respiratory distress syndrome, but its role in patients with COVID-19 is still unclear when these patients are breathing spontaneously. Mechanisms of ventilation and perfusion in the prone position are discussed, with new insights on how these changes relate to patients with COVID-19.
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Conventional patient vital signs monitoring fails to detect many signs of patient deterioration, including those in the critical postoperative period. Wearable monitors can allow continuous vital signs monitoring, send data wirelessly to the electronic healthcare record, and reduce the number of unplanned admissions to intensive care.