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http://dx.doi.org/10.1016/j.bjoms.2020.12.023DOI Listing

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The British Association of Oral and Maxillofacial Surgeons (BAOMS) Quality and Outcomes in Oral and Maxillofacial Surgery (QOMS) reconstructive audit aims to provide surgical teams with risk adjusted comparative performance data. The goal is to enable surgeons to optimise surgical pathways. Risk adjustment requires that data on appropriate predictive variables are collected.

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Article Synopsis
  • The study aimed to create a new prognostic model to estimate the risk of pulmonary complications after elective surgery, which is the leading cause of post-surgery death.
  • Data from a large international cohort of over 86,000 patients was used, applying machine learning techniques to identify risk factors for complications like pneumonia and respiratory distress.
  • The model, named the GSU-Pulmonary Score, was validated with additional cohorts and is available as an online tool to assist in patient care and resource management, especially important during pandemic recovery.
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The traditional model of centralisation of care, whilst having many advantages, also requires adaptation and upscaling to meet the requirements of both regional areas and the increasing urban sprawl. However, to ensure comparable outcomes with current major centres, this transition, when required, must be delivered in a safe and effective manner. Our project, which utilised the British Association of Oral and Maxillofacial Surgeons (BAOMS) recently published outcome data from the Quality and Outcomes in Oral and Maxillofacial Surgery (QOMS) project to benchmark data prospectively collected from a small-volume, emerging centre in Northern Queensland, was the first of its kind in terms of validation studies.

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The British Association of Oral and Maxillofacial Surgery is soon to implement the Quality Outcomes in Oral in Maxillofacial Surgery (QOMS) to provide a platform for quality management across the specialty in the UK. The initial oncology and reconstruction audits for QOMS involves data collection on specific procedures and metrics. The aim of this report is to determine their appropriateness using extant audit datasets in our institution that overlap substantially with the QOMS audits.

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