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A National Network of Safe Havens: Scottish Perspective.
Gao, Chuang; McGilchrist, Mark; Mumtaz, Shahzad; Hall, Christopher; Anderson, Lesley Ann; Zurowski, John; Gordon, Sharon; Lumsden, Joanne; Munro, Vicky; Wozniak, Artur; Sibley, Michael; Banks, Christopher; Duncan, Chris; Linksted, Pamela; Hume, Alastair; Stables, Catherine L; Mayor, Charlie; Caldwell, Jacqueline; Wilde, Katie; Cole, Christian; Jefferson, Emily.
Afiliación
  • Gao C; Health Informatics Centre, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom.
  • McGilchrist M; Health Informatics Centre, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom.
  • Mumtaz S; Health Informatics Centre, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom.
  • Hall C; Health Informatics Centre, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom.
  • Anderson LA; Centre for Health Data Science, University of Aberdeen, Aberdeen, United Kingdom.
  • Zurowski J; Imaging Centre of Excellence, Queen Elizabeth University Hospital, Glasgow, United Kingdom.
  • Gordon S; Grampian Data Safe Haven, Aberdeen Centre for Health Data Science, University of Aberdeen, Aberdeen, United Kingdom.
  • Lumsden J; Grampian Data Safe Haven, Aberdeen Centre for Health Data Science, University of Aberdeen, Aberdeen, United Kingdom.
  • Munro V; Grampian Data Safe Haven, Aberdeen Centre for Health Data Science, University of Aberdeen, Aberdeen, United Kingdom.
  • Wozniak A; Grampian Data Safe Haven, Aberdeen Centre for Health Data Science, University of Aberdeen, Aberdeen, United Kingdom.
  • Sibley M; Electronic Data Research and Innovation Service, Public Health Scotland, Edinburgh, United Kingdom.
  • Banks C; Electronic Data Research and Innovation Service, Public Health Scotland, Edinburgh, United Kingdom.
  • Duncan C; Lothian Research Safe Haven, Department of Public Health and Health Policy National Health Service Lothian, Edinburgh, United Kingdom.
  • Linksted P; Lothian Research Safe Haven, Department of Public Health and Health Policy National Health Service Lothian, Edinburgh, United Kingdom.
  • Hume A; EPCC, University of Edinburgh, Edinburgh, United Kingdom.
  • Stables CL; DataLoch, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
  • Mayor C; Glasgow Safe Haven, Research and Development division of National Health Service Greater Glasgow and Clyde, Glasgow, United Kingdom.
  • Caldwell J; Electronic Data Research and Innovation Service, Public Health Scotland, Edinburgh, United Kingdom.
  • Wilde K; Grampian Data Safe Haven, Aberdeen Centre for Health Data Science, University of Aberdeen, Aberdeen, United Kingdom.
  • Cole C; Health Informatics Centre, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom.
  • Jefferson E; Health Informatics Centre, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom.
J Med Internet Res ; 24(3): e31684, 2022 03 09.
Article en En | MEDLINE | ID: mdl-35262495
For over a decade, Scotland has implemented and operationalized a system of Safe Havens, which provides secure analytics platforms for researchers to access linked, deidentified electronic health records (EHRs) while managing the risk of unauthorized reidentification. In this paper, a perspective is provided on the state-of-the-art Scottish Safe Haven network, including its evolution, to define the key activities required to scale the Scottish Safe Haven network's capability to facilitate research and health care improvement initiatives. A set of processes related to EHR data and their delivery in Scotland have been discussed. An interview with each Safe Haven was conducted to understand their services in detail, as well as their commonalities. The results show how Safe Havens in Scotland have protected privacy while facilitating the reuse of the EHR data. This study provides a common definition of a Safe Haven and promotes a consistent understanding among the Scottish Safe Haven network and the clinical and academic research community. We conclude by identifying areas where efficiencies across the network can be made to meet the needs of population-level studies at scale.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Privacidad / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Privacidad / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido