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Data Infrastructure for Improvement in Perioperative Medicine: Experience at a London Tertiary Hospital
Daniel Bendel1, Teresa Wong2, James Bedford1
1Department of Anaesthesia and Perioperative Medicine, University College London Hospitals NHS Trust, London, UK.
Abstract:
Adoption of electronic health record systems offers an opportunity to collate massive volumes of complex information about patient care. Healthcare data can inform performance management, enable predictive analytics and enhance strategic decision making. A data-driven approach to improving patient care is vital to address the growing burden of morbidity and mortality associated with major surgery. We describe our methodology for transforming and utilising process of care data in an electronic health record system to develop a registry for quality improvement purposes in patients undergoing major surgery at a single UK hospital. We highlight development of our data-driven vision, technical aspects of processing raw data into metrics relevant to clinical decision making, alongside challenges encountered. Finally, we outline how our data infrastructure supports clinical governance, quality improvement and research. In sharing our experiences, we hope to enable others to embed and access the transformative clinical insights that healthcare data can yield.
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