From PDF to Practice: Difference between revisions
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Client | Client: Biko Agozino, [[JP Morgan]] - <biko.jj.agozino@jpmorgan.com> | ||
Many hospitals in the UK produce their own local guidance, regarding what medicines should be given to patients before and after operations (perioperative medication). Policy is buried in PDF documents, which combine descriptions of drug properties with factors that might result in different advice to different patients. Your task is to create a system that can automatically extract and compare a wide range of such advice, presenting it in a form such that clinicians can draw on both best practice and individual factors when advising a specific patient. | Many hospitals and trusts in the UK produce their own local guidance, regarding what medicines should be given to patients before and after operations (perioperative medication). Policy is buried in PDF documents and academic papers, which combine descriptions of drug properties with factors that might result in different advice to different patients. Your task is to create a system that can automatically extract and compare a wide range of such advice, presenting it in a form such that clinicians can draw on both best practice and individual factors when advising a specific patient. | ||
Latest revision as of 09:52, 4 November 2017
Client: Biko Agozino, JP Morgan - <biko.jj.agozino@jpmorgan.com>
Many hospitals and trusts in the UK produce their own local guidance, regarding what medicines should be given to patients before and after operations (perioperative medication). Policy is buried in PDF documents and academic papers, which combine descriptions of drug properties with factors that might result in different advice to different patients. Your task is to create a system that can automatically extract and compare a wide range of such advice, presenting it in a form such that clinicians can draw on both best practice and individual factors when advising a specific patient.
