Design and implementation of a natural language processing system at the point of care: MiADE (medical information AI data extractor)

Abstract Background Well-organised electronic health records (EHR) are essential for high quality patient care, but EHR user interfaces can be cumbersome for entry of structured information, resulting in the majority of information being in free text rather than a structured form. This makes it diff...

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Autors principals:	Jennifer Jiang-Kells, James Brandreth, Leilei Zhu, Jack Ross, Yogini Jani, Enrico Costanza, Maisarah Amran, Zeljko Kraljevic, Xi Bai, M.M.N.S. Dilan, Jayathri Wijayarathne, Ravi Wickramaratne, Folkert W. Asselbergs, Richard J.B. Dobson, Wai Keong Wong, Anoop D. Shah
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-10-01
Col·lecció:	BMC Medical Informatics and Decision Making
Matèries:	point of care natural language processing Diagnoses Terminology SNOMED CT
Accés en línia:	https://doi.org/10.1186/s12911-025-03195-1
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