Literature DB >> 27133600

Increasing Access to Health Administrative Data with ICES Data & Analytic Services.

Lisa Ishiguro1, Refik Saskin2, Marian J Vermeulen3, Erika Yates4, Nadia Gunraj5, J Charles Victor6.   

Abstract

The Institute for Clinical Evaluative Sciences (ICES) is one of only a few organizations in Ontario permitted to access, link and analyze health administrative data for the purpose of generating evidence to inform decisions in policy and practice. Although ICES is a leading research institute, its access to the data has historically been restricted to scientists with an ICES affiliation. This requirement, designed to meet ICES' data privacy and security obligations, created barriers with respect to the widespread use of Ontario's data assets. In 2014, as part of the government's commitment to the Strategy for Patient-Oriented Research, ICES launched the Data & Analytic Services platform, which is aimed at increasing access to data and analytic services to investigators external to ICES. In making the data widely available to the broader research community, this initiative engages investigators involved in front-line care, stimulates new avenues of research and fosters collaboration that was previously challenging or unfeasible.

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Year:  2016        PMID: 27133600     DOI: 10.12927/hcq.2016.24617

Source DB:  PubMed          Journal:  Healthc Q        ISSN: 1710-2774


  3 in total

1.  Impact of the diabetes Canada guideline dissemination strategy on dispensed vascular protective medications for older patients in Ontario, Canada: a linked EMR and administrative data study.

Authors:  Michelle Greiver; Sumeet Kalia; Rahim Moineddin; Simon Chen; Raquel Duchen; Alanna Rigobon
Journal:  BMC Health Serv Res       Date:  2020-05-01       Impact factor: 2.655

2.  Sex-specific analysis of traumatic brain injury events: applying computational and data visualization techniques to inform prevention and management.

Authors:  Tatyana Mollayeva; Andrew Tran; Vincy Chan; Angela Colantonio; Michael D Escobar
Journal:  BMC Med Res Methodol       Date:  2022-01-30       Impact factor: 4.615

3.  Decoding health status transitions of over 200 000 patients with traumatic brain injury from preceding injury to the injury event.

Authors:  Tatyana Mollayeva; Andrew Tran; Vincy Chan; Angela Colantonio; Mitchell Sutton; Michael D Escobar
Journal:  Sci Rep       Date:  2022-04-04       Impact factor: 4.379

  3 in total

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