Suchergebnisse

IntroductionICES is an entity in Ontario, Canada that collects and uses the personal health information (PHI) of individuals for evaluation, planning and monitoring of the provincial health system. It currently does not have legal authority to collect PHI from, or disclose PHI to, municipalities for the purpose of supporting evidence-based policymaking and enabling "Smarter Cities".
Objectives and ApproachTo assess how ICES could allow municipalities to access PHI, while maintaining strong privacy and security data protection, we first: (i) explored the legal data trust model as a vehicle for broader collection and use of municipal data, and (ii) analyzed the regulatory changes and type of framework that would enable broader access and use of PHI by municipalities. Following this and to demonstrate the value of access to ICES data for municipal planning, we identified a case project involving a municipal health stakeholder. Leveraging ICES' remote access model, two local public health analysts performed analytics on de-sensitized, individual-level data in a secure analytic environment.
ResultsWe determined that a legal data trust is not the appropriate model for the type of data sharing envisioned, but rather, a data governance and ethical use framework complimentary to a new legal regime for Smart Cities would be optimal. In Phase II the local municipal partner was able to identify several use cases for the ICES data that would support local policy making; access to these data was considered a critical enabler to improved evidence-based decision making.
Conclusion / ImplicationsAllowing municipal policy makers to use data under a complimentary framework to a new legal regime, may improve policy and produce direct economic impact for municipalities where evidence needed for decision-making is lacking; representing a practical step forward towards Smart Cities.

IntroductionThe Ontario Brain Institute has developed Brain-CODE, an informatics platform designed to support the collection, storage, federation, sharing and analysis of different neuroscience research data types across several brain disorders. Linking such "deep" research data with "broad" health administrative data allows for improved characterization of disorders and supports the development of related health and social policies (Anderson et al., 2015). A privacy preserving record linkage protocol, developed through the Indoc Consortium, has been used to facilitate such linkages between Brain-CODE and administrative data holdings at the Institute for Clinical Evaluative Sciences (ICES; e.g., emergency department use, inpatient records, prescription drug utilization) (Gee et al., 2018).
Objectives and ApproachThree linkage pilots in the areas of neurodevelopmental disorders, epilepsy, and stroke research have been completed with >99% success match rates across all projects. However, each of these projects required a significant amount of human and computational resources to complete. With other similar data linkages being planned, it was determined that a more permanent solution was required rather than completing linkages on a project-by-project basis. The governance and technical elements to support the creation and maintenance of such a crosswalk between Brain-CODE and ICES were reviewed with an implementation plan subsequently developed.
Results:A methodology for creating a crosswalk between Brain-CODE and ICES has been established. The same privacy preserving record linkage protocol, as used in the previous linkage pilots, will support the creation of this crosswalk. A plan has been established to update this crosswalk annually to account for new study participants on Brain-CODE.
Conclusion / ImplicationsThe creation of this crosswalk will allow for a more streamlined approach of data linkage between Brain-CODE and ICES. Such an approach can significantly reduce overall resourcing requirements, enable more efficient data linkages, and contribute to the coupling of "broad" and "deep" data.