A knowledge-anchored integrative image search and retrieval system.
J Digit Imaging
; 22(2): 166-82, 2009 Apr.
Article
en En
| MEDLINE
| ID: mdl-18040742
ABSTRACT
Clinical data that may be used in a secondary capacity to support research activities are regularly stored in three significantly different formats (1) structured, codified data elements; (2) semi-structured or unstructured narrative text; and (3) multi-modal images. In this manuscript, we will describe the design of a computational system that is intended to support the ontology-anchored query and integration of such data types from multiple source systems. Additional features of the described system include (1) the use of Grid services-based electronic data interchange models to enable the use of our system in multi-site settings and (2) the use of a software framework intended to address both potential security and patient confidentiality concerns that arise when transmitting or otherwise manipulating potentially privileged personal health information. We will frame our discussion within the specific experimental context of the concept-oriented query and integration of correlated structured data, narrative text, and images for cancer research.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Interfaz Usuario-Computador
/
Almacenamiento y Recuperación de la Información
/
Sistemas de Registros Médicos Computarizados
/
Sistemas de Información Radiológica
/
Integración de Sistemas
Tipo de estudio:
Prognostic_studies
/
Qualitative_research
Límite:
Humans
Idioma:
En
Revista:
J Digit Imaging
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
/
RADIOLOGIA
Año:
2009
Tipo del documento:
Article
País de afiliación:
Estados Unidos