A tool for improving the delivery of integrated intensive health care performance
Balladini, Javier (Universidad Nacional del Comahue)
Bruno, Pablo (Universidad Nacional del Comahue)
Zurita, Rafael (Universidad Nacional del Comahue)
Orlandi, Cristina (Hospital Francisco López Lima)
Suppi Boldrito, Remo (Universitat Autònoma de Barcelona)
Rexachs del Rosario, Dolores Isabel (Universitat Autònoma de Barcelona)
Luque, Emilio (Universitat Autònoma de Barcelona)

Fecha:	2019
Descripción:	2 pàg.
Resumen:	In intensive and intermediate care units, patient data consists of lower frequency asynchronous clinical data and higher frequency synchronous physiological data streams generated by medical equipment. Traditionally, nurses manually fill out forms, recording clinical data, and physiological data observed in each equipment at hourly intervals. At the end of the day, the physicians exhaustively analyse the data of the forms and give nurses the treatment indications. This methodology can produce delayed and inaccurate diagnosis, and is prone to human errors due to the large volume of data to analyse. - We propose a cost-effective system for automatic and real-time analysis of patients data that increase the quality of care and quantity of treated patients. The system improves the horizontal integration between nurses and physicians, and gives medical staff the ability to plan and begin treatments sooner or potentially stop the progression of a condition. The treatement costs are reduced and the number of patients are increased by reducing the length of stay. Furthermore, the system can be made more intelligent by extracting new medical knowledge from historical patients data. Significant technical challenges are related to data extraction from medical equipment, and the development of the real-time big data analysis infrastructure.
Ayudas:	Agencia Estatal de Investigación TIN2017-84875-P
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Big data ; Clinical decision support system ; Embedded system ; Intensive care unit ; Medical rules processing
Publicado en:	International Journal of Integrated Care, Vol. 19, annual conference supplement (2019) , art. 222, ISSN 1568-4156

DOI: 10.5334/ijic.s3222

2 p, 65.9 KB

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