Korábbi változatok

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• UMN/VA teams serve as a core for addressing the goal; they each manage all facets of this supply chain and also consume its results via CDS interventions that support care for their patient populations.
  • Cultivate synergies between these 'full cycle' efforts and related Collaborative participant efforts - e.g., NACHC (testing/triage in health centers), ACEP/EvidenceCare COVID-19 Severity Classification/Triage/Disposition tool (see here), Australia Living COVID-19 Guidelines (anticoagulation), U Melbourne COVID-CARE and related efforts, etc.
  • Have teams responsible in each of these organizations for evidence surveillance/synthesis, guidance development/updating, and CDS development/updating/deployment collaborate among themselves and with other organizations in the Collaborative on this 'update notification' process and tooling.
• Consider ways to coordinate/advance current efforts:  SRDR/COKA, C19HCC Digital Guideline WG, COVID-NMA, COVID-END, AU Living Guidelines, and related efforts collaborate to demonstrate notification system that suggests to living CDS owners/implementers that updates should be considered.
  • see below sampling of sources that could be leveraged
  • For overview presentation on making evidence computable see: AMDIS Ted Talk EBM on FHIR 2020 Oct 1 PPT
• Document how evidence/guidance changes are detected and addressed in current VA/UMN/other processes
  • enhancing these approaches to include a notification function (applicable across approaches) that propagates supply chain updates to all pertinent stakeholders throughout the chain, including those responsible for developing/maintaining CDS interventions.  
• Phased enhancement approach
  • Document current state: VA/UMN/Australia/others (business-driven requirements - what works, pain points, lessons learned)
  • Define/deliver desired future state (Individual/collective)
    • quick/easy enhancements to processes/tools/resources used for detecting and managing evidence/guidance updates  (e.g., leverage pilot 'web diff tool' to detect changes on target web pages)
    • deeper architecture refinements to achieve more computable/standards-based evidence/guidance processing (build on COKA/SRDR explorations)

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