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AMIA Annu Symp Proc ; : 601-5, 2008 Nov 06.
Artigo em Inglês | MEDLINE | ID: mdl-18999158

RESUMO

As electronic health records (EHR) become more widespread, they enable clinicians and researchers to pose complex queries that can benefit immediate patient care and deepen understanding of medical treatment and outcomes. However, current query tools make complex temporal queries difficult to pose, and physicians have to rely on computer professionals to specify the queries for them. This paper describes our efforts to develop a novel query tool implemented in a large operational system at the Washington Hospital Center (Microsoft Amalga, formerly known as Azyxxi). We describe our design of the interface to specify temporal patterns and the visual presentation of results, and report on a pilot user study looking for adverse reactions following radiology studies using contrast.


Assuntos
Armazenamento e Recuperação da Informação/métodos , Anamnese/métodos , Sistemas Computadorizados de Registros Médicos , Processamento de Linguagem Natural , Reconhecimento Automatizado de Padrão/métodos , Software , Descritores , Algoritmos , Inteligência Artificial , District of Columbia , Fatores de Tempo , Estados Unidos
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