Optimización de la calidad asistencial de urgencias y emergencias mediante bases de datos multidisciplinares
Autor:
Arias, J.C.
; Cubillas, Juan José
; Ramos, Maria I.
; Feito, F.R.
Fecha:
2022Palabra clave:
Revista / editorial:
Iberian Conference on Information Systems and Technologies, CISTITipo de Ítem:
conferenceObjectDirección web:
https://ieeexplore.ieee.org/document/9820109Resumen:
En la actualidad una de las técnicas más importantes
para mejorar la calidad en la asistencia del paciente es el análisis
exhaustivo de todos los aspectos de dicha asistencia mediante la
utilización de bases de datos específicas y detalladas. Se ha creado
una base de datos capaz de integrar y relacionar todos los aspectos
que afectan directa e indirectamente a las asistencias o
emergencias realizadas en la provincia de Jaén (Jaen city,
Andalusian, Spain), en un periodo de ocho años. Para ello, se ha
almacenado y relacionado la información sanitaria, social,
económica, medioambiental y geográfica de cada asistencia. El alto
nivel de interrelación que existe entre todas las variables que
intervienen en la asistencia al paciente, ha sido empleado para
analizar y predecir el número y tipo de asistencias que aparecerán
en el futuro, así como gestionar de forma eficaz todos los recursos
que participan en dichas asistencias.
Descripción:
At present, one of the most important techniques for
improving the quality of patient care is the exhaustive analysis of
all aspects of such care through the use of specific and detailed
databases. A database capable of integrating and relating all the
aspects that directly and indirectly affect the assistance or
emergencies carried out in the province of Jaén (Jaen city,
Andalusian, Spain), over a period of eight years, has been created.
For this purpose, health, social, economic, environmental and
geographical information has been stored and related to each
assistance. The high level of interrelation that exists between all
the variables involved in patient care has been used to analyse and
predict the number and type of care that will appear in the future,
as well as to efficiently manage all the resources involved in such
care.
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