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Streams, rivers and data lakes: an introduction to understanding modern electronic healthcare records.
Idowu, Esther Ayobamidele Abisola; Teo, James; Salih, Sabrine; Valverde, Joshua; Yeung, Joshua Au.
Afiliación
  • Idowu EAA; Guy's and St Thomas' NHS Foundation Trust, London, UK Esther.idowu@nhs.net.
  • Teo J; King's College Hospital and Guy's and St Thomas' Hospital NHS Foundation Trust, London UK.
  • Salih S; Dartford and Gravesham NHS Trust, Dartford, UK.
  • Valverde J; Chesterfield Royal Hospital NHS Foundation Trust, Chesterfield, UK.
  • Yeung JA; Guy's and St Thomas' Hospital NHS Foundation Trust, London, UK.
Clin Med (Lond) ; 23(4): 409, 2023 07.
Article en En | MEDLINE | ID: mdl-37524426
As foundation doctors, we have often found ourselves informing patients that a certain aspect of their medical information cannot be immediately found, either because it is on an electronic system we cannot access, or it is in a hospital that is unlinked to our own. Unsurprisingly, this frequently leaves patients flabbergasted and confused. We started to wonder: if patients' data are entered onto an electronic system: where do those data go? If medical data are searched for, where do those data come from? Why are there so many hidden sources of information that clinicians cannot access? In an ever-increasing digital sphere, electronic data will be the future of holistic health and social care planning, impacting every clinician's day-to-day role. From electronic healthcare records to the use of artificial intelligence solutions, this article will serve as an introduction to how data flows in modern healthcare systems.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Médicos / Inteligencia Artificial Límite: Humans Idioma: En Revista: Clin Med (Lond) Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Médicos / Inteligencia Artificial Límite: Humans Idioma: En Revista: Clin Med (Lond) Año: 2023 Tipo del documento: Article
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