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StructConsult: structured real-time wet read consultation infrastructure to support patient care.
Morioka, Craig; Dionisio, John David N; Bui, Alex; El-Saden, Suzie; Kangarloo, Hooshang.
Afiliação
  • Morioka C; Medical Informatics, University of California, Department of Radiological Sciences, Los Angeles 90024, United States.
Stud Health Technol Inform ; 129(Pt 1): 429-33, 2007.
Article em En | MEDLINE | ID: mdl-17911753
ABSTRACT
Our research addresses how to improve physician to physician communication of patient information, and how to prevent lapses of patient care as they are referred to other clinicians within the healthcare system. The wet read consultation is defined as a rapid response to a clinical question posed by a referring physician to a clinical specialist. This research involves the development of an imaging-based wet read consultation system called StructConsult (SC), which facilitates communication between non-imaging specialist (i.e., primary care physician (PCP), emergency room (ER) physician, or referring physician), and an imaging specialist-radiologist. To facilitate data mining and effective recall, SC utilizes a data model based on the Digital Image Communications in Medicine (DICOM) standard for grayscale presentation state and structured reporting. SC requires information from four sources (a) patient-specific demographics, clinical hypothesis, and reason for exam, (b) sentinel image capture from a DICOM image study, (c) direct capture of radiologist's image operations and annotations, and (d) radiologist's response to the chief compliant, and the reason for examination. SC allows users to add additional functionality to a Picture Archiving System to improve patient care.
Assuntos
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Base de dados: MEDLINE Assunto principal: Encaminhamento e Consulta / Software / Sistemas de Informação em Radiologia / Comunicação Interdisciplinar Limite: Humans Idioma: En Ano de publicação: 2007 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Encaminhamento e Consulta / Software / Sistemas de Informação em Radiologia / Comunicação Interdisciplinar Limite: Humans Idioma: En Ano de publicação: 2007 Tipo de documento: Article