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  • 标题:COVID-19: protocol for observational studies utilizing near real-time electronic Australian general practice data to promote effective care and best-practice policy—a design thinking approach
  • 本地全文:下载
  • 作者:Andrew Georgiou ; Julie Li ; Christopher Pearce
  • 期刊名称:Health Research Policy and Systems
  • 印刷版ISSN:1478-4505
  • 电子版ISSN:1478-4505
  • 出版年度:2021
  • 卷号:19
  • DOI:10.1186/s12961-021-00772-4
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:Background Health systems around the world have been forced to make choices about how to prioritize care, manage infection control and maintain reserve capacity for future disease outbreaks. Primary healthcare has moved into the front line as COVID-19 testing transitions from hospitals to multiple providers, where tracking testing behaviours can be fragmented and delayed. Pooled general practice data are a valuable resource which can be used to inform population and individual care decision-making. This project aims to examine the feasibility of using near real-time electronic general practice data to promote effective care and best-practice policy. Methods The project will utilize a design thinking approach involving all collaborators (primary health networks [PHNs
  • 关键词:COVID-19; General practice; Design thinking; Quality of care; Observational studies; Pandemics
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