000			02691nam a22003017c 4500
001			00004772
003			ES-MaONT
005			20211006062657.0
008			181019s2018 spaa|||e t||| 00| 0 spa d
020			_a978-92-79-63285-3
024			_adoi: 10.2875/734795 _d.
040			_cCDO
100	1		_4Österreich, Gesundheit
245	0	0	_aStudy on Big Data in Public Health, Telemedine and Healthcare _bDecember 2016 _cWritten by Gesundheit Österreich Forschungs- und Planungs GmbH
250			_aFinal Report
260			_aLuxembourg _bPublications Office of the European Union _c2016
300			_a113 p.
336			_atexto (visual) _2isbdcontent
337			_aelectrónico _2isbdmedia
338			_arecurso en línea _2rdacarrier
520			_aThe aim of the study on Big Data in Public Health, Telemedicine and Healthcare is to identify applicable examples of the use of Big Data in Health and develop recommendations for their implementation in the European Union. Examples of Big Data in Health were identified by a systematic literature review, after which the added value of twenty selected examples was evaluated. Based on the assessment of the added value and the quality of the evidence, ten priority examples were selected. Furthermore, potential policy actions for the implementation of Big Data in Health were identified in the literature, and a SWOT analysis was conducted to check the feasibility of the proposed actions. Based on this analysis, and with the help of renowned experts, the study team developed ten policy recommendations in the field. These recommendations were validated through public consultations at three relevant conferences in Europe and were again reviewed by the Expert Group. The recommendations aim to benefit European citizens and patients in terms of strengthening their health and improving the performance of Member State’s health systems. They should be seen as suggestions for the European Union and its Member States on how to utilise the strengths and exploit the opportunities of Big Data for Public Health without threatening privacy or safety of citizens. Recommendations were developed for ten relevant fields: awareness raising, education and training, data sources, open data and data sharing, applications and purposes, data analysis, governance of data access and use, standards, funding and financial resources, as well as legal aspects and privacy regulation
650		7	_aSanidad digital _2 _92065
653			_aBig data
653			_aeHealth
653			_aTelemedicine
856	4		_uhttps://ec.europa.eu/health/sites/health/files/ehealth/docs/bigdata_report_en.pdf _x0 _yAcceso a la publicación
942			_2udc _cELIB
999			_c4772 _d4772