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User needs and requirements analysis for big data healthcare applications.
Zillner, Sonja; Lasierra, Nelia; Faix, Werner; Neururer, Sabrina.
Afiliação
  • Zillner S; Corporate Technology, Siemens AG, Munich, Germany.
  • Lasierra N; Semantic Technology Institute Innsbruck, University of Innsbruck, Austria.
  • Faix W; School of International Business and Entrepreneurship, Steinbeis University, Berlin, Germany.
  • Neururer S; Semantic Technology Institute Innsbruck, University of Innsbruck, Austria.
Stud Health Technol Inform ; 205: 657-61, 2014.
Article em En | MEDLINE | ID: mdl-25160268
The realization of big data applications that allow improving the quality and efficiency of healthcare care delivery is challenging. In order to take advantage of the promising opportunities of big data technologies, a clear understanding of user needs and requirements of the various stakeholders of healthcare, such as patients, clinicians and physicians, healthcare provider, payors, pharmaceutical industry, medical product suppliers and government, is needed. Our study is based on internet, literature and market study research as well as on semi-structured interviews with major stakeholder groups of healthcare delivery settings. The analysis shows that big data technologies could be used to align the opposing user needs of improved quality with improved efficiency of care. However, this requires the integrated view of various heterogeneous data sources, legal frameworks for data sharing and incentives that foster collaboration.
Assuntos
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Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Registro Médico Coordenado / Bases de Dados Factuais / Sistemas de Apoio a Decisões Clínicas / Avaliação das Necessidades / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2014 Tipo de documento: Article
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Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Registro Médico Coordenado / Bases de Dados Factuais / Sistemas de Apoio a Decisões Clínicas / Avaliação das Necessidades / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2014 Tipo de documento: Article