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Anoop Shah is an Associate Professor at the UCL Institute of Health Informatics and a consultant in clinical pharmacology and general medicine at University College London Hospital. He holds a Bachelor of Medicine and Bachelor of Surgery from University College London awarded in 2005, along with a BSc, MSc and MRCP qualification. His work focuses on research projects that aim to improve the quality of electronic health records and enable their use for research to support better patient care, while combining this with his clinical responsibilities.
Shah leads the NIHR-funded MiADE project, which develops natural language processing tools to convert narrative text in health records into structured data such as diagnosis codes, with clinician validation before saving; the system is integrated with the Epic electronic health record at UCLH. He has also received UKRI funding to extend this work using advanced natural language processing models, new user interface designs and comparisons of systems trained on different data sources, in collaboration with UCL, UCLH and Great Ormond Street Hospital. Shah serves as the UCL site lead for the European DataTools4Heart collaboration, which establishes a federated cardiology research platform across multiple countries to apply AI methods while protecting patient privacy. Additionally, he contributes to natural language processing of general practice records from the THIN database to study symptoms and diagnosis of Long Covid.
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Explore UCL's BMJ-published research driving NICE's recommendation of SGLT-2 inhibitors as first-line for type 2 diabetes, potentially saving 20,000 UK lives yearly.
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