Helthcare data analysis and return of invesment for patient care : challenges for a University hospital [Separata] /

Ethical and scientific reasons sustain concerns when applying Big Data analytics in Healthcare. Patient’s data must be anonymized and must have enough quality. But the extreme variety of data and their multiple sources combined with many different stakeholders registering data in the Electronic Pati...

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Detalles Bibliográficos
Autor principal: Pastor Durán, Xavier
Formato: Artículo
Lenguaje:Inglés
Materias:
BANCOS DE DATOS
BIG DATA
ANALISIS DE DATOS
PACIENTES
HISTORIA CLINICA
PROCESAMIENTO ELECTRONICO DE DATOS
INVESTIGACION MEDICA
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Cs. Sociales E. Faletto (FLACSO) de FLACSO. Sede Académica Argentina
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041 1 |a eng 
100 |9 27391  |a Pastor Durán, Xavier 
245 1 0 |a Helthcare data analysis and return of invesment for patient care :   |b challenges for a University hospital [Separata] /   |c Xavier Pastor Duran  |h DIG 
300 |a pp. 47-56 
504 |a incl. ref. 
520 |a Ethical and scientific reasons sustain concerns when applying Big Data analytics in Healthcare. Patient’s data must be anonymized and must have enough quality. But the extreme variety of data and their multiple sources combined with many different stakeholders registering data in the Electronic Patient Record without a semantic standardization makes the process harder than in other business. Majority of patient’s data are in natural text or are only communicated verbally without a formal registration. To take a real benefit of the Healthcare data we must ensure their quality, high integrity, explicit meaning, context recording and complete anonymization. Three technologies must be of great help: Standardization for Semantic interoperability, Knowledge representation using Ontologies and advanced Natural Language Processing. Ethical conscience regarding confidentiality and ecological impact of ICTs must be empowered and practiced by individuals and organizations. 
650 0 |a  BANCOS DE DATOS  |9 4277 
650 4 |a BIG DATA  |9 27390 
650 0 |a ANALISIS DE DATOS  |9 799 
650 0 |a PACIENTES  |9 2767 
650 4 |a HISTORIA CLINICA  |9 22447 
650 0 |a  PROCESAMIENTO ELECTRONICO DE DATOS  |9 4276 
650 0 |a  INVESTIGACION MEDICA  |9 2776 
690 |a BIOETICA  |9 2962 
773 0 |d Barcelona : Observatorio de Bioética y Derecho, FLACSO. Programa Argentina, 2017  |g no. 41  |t Revista de bioética y derecho & Perspectivas bioéticas  |x 1886-5887 
942 |c ART 

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