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D. Gutiw



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    OS05 - Accessing Connected Data - Front Line (ID 4)

    • Event: e-Health 2018 Virtual Meeting
    • Type: Oral Session
    • Track: Clinical Delivery
    • Presentations: 1
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      OS05.01 - Evolving Interoperability Needs for Coordination of Care: Pan-Canadian Collaboration (ID 116)

      D. Gutiw, Health Sector, CGI Group; V8W 2G2/CA

      • Abstract
      • Slides

      Purpose/Objectives: This presentation is to provide an overview of the changes that have occurred over time in the area of Canadian health interoperability. Presenters Diane Gutiw and Finnie Flores have each over 20 years’ experience in digital data exchange and have co-chaired the Infoway Standards Working Group and Community of Practice related to health care delivery and interoperability for over 5 years. These groups have facilitated collaboration and shared experiences among Canadian jurisdictions in the delivery of electronic health solutions. The objective of this presentation is to provide an overview of the evolution of interoperability focus and opportunities where jurisdictions have worked together to solve common challenges and outcomes with their technology standards and solutions. The presentation will review past pan-Canadian interoperability collaboration experiences, using examples of where collaboration on interoperability has been a benefit to jurisdictions and will identify how the focus has shifted from technical aspects of provincial and regional clinical data collection and sharing to addressing the clinical and business challenges of real time data exchange between health care providers.

      Methodology/Approach: The material for this presentation is based on a scan of focus areas of the Infoway collaboration communities over the past 5 years. Common areas of focus will be presented with specific examples for past and current challenges; the presentation will describe how collaboration is helping to develop a common approach and solutions to common problems.

      Finding/Results: While clinical data repositories are providing a benefit to health care providers, the ability to share data and information between providers related to care plans, past diagnoses and treatments remains a challenge for the day to day health care delivery. The collaborative communities have provided an avenue for sharing experiences and problem solving as jurisdictions work through common challenges in developing interoperability solutions.

      Conclusion/Implications/Recommendations: The ongoing collaboration communities and working groups have provided and continue to provide opportunities for technical and clinical resources from different jurisdictions to share common challenges and solutions. The benefit of collaboration is in the development of common approaches to address these challenges including past experiences of the collaborative communities such as the development of implementable standards to meet the real need of providers, the sharing of technical solutions that have worked as well as sharing of lessons learned from jurisdictions at different stated of interoperability development.

      140 Character Summary: Review of pan-Canadian interoperability collaboration, and the evolution from data collection to addressing challenges of real time clinical data exchange.

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    RF03 - Meaningful Data Use and Benefits (ID 17)

    • Event: e-Health 2018 Virtual Meeting
    • Type: Rapid Fire Session
    • Track: Clinical Delivery
    • Presentations: 1
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      RF03.02 - Big Data in Healthcare: Where to Start (ID 440)

      D. Gutiw, Health Sector, CGI Group; V8W 2G2/CA

      • Abstract
      • Slides

      Purpose/Objectives: This session will present a methodology designed to help organizations better understand how to leverage both their internal data and external data sources to make high priority data driven operational and clinical decisions quickly. The methodology includes a framework to validate any organization or department’s current state of governance, data management, analytics, technology infrastructure and capabilities, as well as determining what extended data is needed to provide accurate, complete and high quality analytic analyses. The framework assesses the organization’s current state against its analytic needs and future vision, resulting in a clear implementable roadmap with sequencing of initiatives that are both sustainable and adaptable to changing priorities. The resulting strategy and roadmap includes tangible and achievable objectives that leverage existing technology investments, and demonstrate short term value using highest priority analytic questions. The benefit of this incremental and iterative framework is that the organization determines its own focus areas by starting with the analytic problem that needs to be solved and considers technical, organizational and governance required to move to a big data environment and capabilities.

      Methodology/Approach: The presentation will provide examples of how the methodology has been used to address clinical, operational and financial analytic needs. The presentation will walk through each stage of the methodology using a health specific example requiring data from multiple sources to result in a “what-if” analysis as well as comparative and drill down analytics. The presentation will also walk the group through each stage of the framework using the same example to help give context to the framework and approach being presented.

      Finding/Results: The findings suggest that by starting with a specific analytic problem an organization can better understand how to build an analytic architecture, governance and capability model that is scalable for ongoing needs and priorities. The incremental approach can help an organization understand where their current strengths lie, where change is needed and what steps are needed to achieve that change.

      Conclusion/Implications/Recommendations: The presentation will conclude with a recommendation on how organizations can evolve to using big data analytics for their current needs in the short term while developing a scalable roadmap to for additional analytic needs. At the end of the presentation the attendees will have seen the end to end framework in action and should have the knowledge of where to start within their own organizations to move towards big data analytics.

      140 Character Summary: Demonstrates a step by step framework to help organizations understand where they can start, within their own organizations, to move towards big data analytics.

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.