Automatic and early detection of the deterioration of patients in Intensive and Intermediate Care Units: technological challenges and solutions

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In the Intensive and Intermediate Care Units of healthcare centres, many sensors are connected to patients to measure high frequency physiological data. In order to analyse the state of a patient, the medical staff requires both appropriately presented and easily accessed information. As most medica...

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Autores principales: Balladini, Javier, Bruno, Pablo, Zurita, Rafael, Orlandi, Cristina
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
medicina
Unidad de Cuidados Intensivos, sistema de soporte a la decición clínica, Procesamiento de reglas médicas, Big Data, sistema embebido
Intensive Care Unit, Clinical Decision Support System, Medical Rules Processing, Big Data, Embedded System
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/69915
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-69915
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
medicina
Unidad de Cuidados Intensivos, sistema de soporte a la decición clínica, Procesamiento de reglas médicas, Big Data, sistema embebido
Intensive Care Unit, Clinical Decision Support System, Medical Rules Processing, Big Data, Embedded System
spellingShingle Ciencias Informáticas
medicina
Unidad de Cuidados Intensivos, sistema de soporte a la decición clínica, Procesamiento de reglas médicas, Big Data, sistema embebido
Intensive Care Unit, Clinical Decision Support System, Medical Rules Processing, Big Data, Embedded System
Balladini, Javier
Bruno, Pablo
Zurita, Rafael
Orlandi, Cristina
Automatic and early detection of the deterioration of patients in Intensive and Intermediate Care Units: technological challenges and solutions
topic_facet Ciencias Informáticas
medicina
Unidad de Cuidados Intensivos, sistema de soporte a la decición clínica, Procesamiento de reglas médicas, Big Data, sistema embebido
Intensive Care Unit, Clinical Decision Support System, Medical Rules Processing, Big Data, Embedded System
description In the Intensive and Intermediate Care Units of healthcare centres, many sensors are connected to patients to measure high frequency physiological data. In order to analyse the state of a patient, the medical staff requires both appropriately presented and easily accessed information. As most medical devices do not support the extraction of digital data in known formats, medical staff need to fill out forms manually. The traditional methodology is prone to human errors due to the large volume of information, with variable origins and complexity. The automatic and real-time detection of changes in parameters, based on known medical rules, will make possible to avoid these errors and, in addition, to detect deterioration early. In this article, we propose and discuss a high-level system architecture, an embedded system that extracts the electrocardiogram signal from an analog output of a medical monitor, and a real-time Big Data infrastructure that integrate Free Software products. We believe that the experimental results, obtained with a simple prototype of the system, demonstrate the viability of the techniques and technologies used, leaving solid foundations for the construction of a reliable system for medical use, able to scale and support an increasing number of patients and captured data.
format Objeto de conferencia
Objeto de conferencia
author Balladini, Javier
Bruno, Pablo
Zurita, Rafael
Orlandi, Cristina
author_facet Balladini, Javier
Bruno, Pablo
Zurita, Rafael
Orlandi, Cristina
author_sort Balladini, Javier
title Automatic and early detection of the deterioration of patients in Intensive and Intermediate Care Units: technological challenges and solutions
title_short Automatic and early detection of the deterioration of patients in Intensive and Intermediate Care Units: technological challenges and solutions
title_full Automatic and early detection of the deterioration of patients in Intensive and Intermediate Care Units: technological challenges and solutions
title_fullStr Automatic and early detection of the deterioration of patients in Intensive and Intermediate Care Units: technological challenges and solutions
title_full_unstemmed Automatic and early detection of the deterioration of patients in Intensive and Intermediate Care Units: technological challenges and solutions
title_sort automatic and early detection of the deterioration of patients in intensive and intermediate care units: technological challenges and solutions
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/69915
work_keys_str_mv AT balladinijavier automaticandearlydetectionofthedeteriorationofpatientsinintensiveandintermediatecareunitstechnologicalchallengesandsolutions
AT brunopablo automaticandearlydetectionofthedeteriorationofpatientsinintensiveandintermediatecareunitstechnologicalchallengesandsolutions
AT zuritarafael automaticandearlydetectionofthedeteriorationofpatientsinintensiveandintermediatecareunitstechnologicalchallengesandsolutions
AT orlandicristina automaticandearlydetectionofthedeteriorationofpatientsinintensiveandintermediatecareunitstechnologicalchallengesandsolutions
bdutipo_str Repositorios
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