Korábbi változatok

• [CPG on FHIR and BPM+ IGs do this separately - need to be combined and simplified (e.g., with helpful graphics); e.g., leverage L1-L4]
• [Approach section from CPG on FHIR IG might be helpful in framing scope]

• See output repositories under Produce Guidance

• CDS Connect Repository

• CPG on FHIR (working to coordinate with BPM+, and don't yet incorporate value sets); value could be enhanced by better connection through connecting what's in CPG on FHIR to links before and after it in the ecosystem cycle. 
• BPM+
• Logica-led Care Management Implementation Guide [standards and guidance] to cultivate synergies between CPG on FHIR and BPM+ [in development - e.g., see info on Care Management Track at 2020-09 Connectathon]) 
• CDS Hooks;
• SMART on FHIR
• COVID-19 Interoperability Alliance Value Sets
• Logica COVID-19 FHIR Profile Library IG
• [under development] MCBK Standards WG Metadata work

• CDS Connect Authoring Tool

From C19HCC Digital Guideline WG:

• Using CPG-on-FHIR standard for representing/ expressing the full intent of the Guidance in computer-interpretable artifacts (part of HL7 CPG-IG)
• Using the Agile Approach to CPG Development (inclusive of Integrated Process) to concurrently Produce Guidance and Make Guidance Computable (part of HL7 CPG-IG)
• Use Agile Knowledge Engineering methods, principles, and tools
  • Cross-functional Integrated team (Agile CPG Team)
  • Leverage composite nature of CPGs (e.g. can develop logic for inferences on patient information- CPG_CaseFeatures) to build incrementally and iteratively with rapid feedback
  • Pull knowledge engineers into Content design/reviews; pull domain SMEs into knowledge representation design/reviews
• Leverage CPG-on-FHIR as a faithful expression of Guidance and its ability to create computationally derived CDS and Cognitive Support, patient-specific, practice-level digital Quality Measures/Metrics, eCaseReports, etc. to create computable artifacts used downstream in the Learning Health System and to provide closed-loop feedback/feedforward.
• Leverage established tools and capabilities (e.g. BPM+ process and tooling, Clinical Ontology) to author computable Guidance and Open Source tooling to translated into HL7 CPG-on-FHIR to leverage derivative and native compute
• tips:
  • Use established standards and work with standards community (to understand and evolve as needed)
  • Engage consumers/ users early and often
  • Engage downstream vendors (e.g Terminology vendor USED in the EHRs) early
  • Just because everyone everyone is using the same terminology systems doesn't mean they're agreeing how to use the actual terms- this needs to be considered and addressed to make ecosystem/supply chain work properly (feedforward from Evidence, but also feedback of data semantics back into evidence)
  • Learn from related communities of practice (e.g. Agile Software Engineering)

• Implement Guidance includes integrating the computable guidance into organizational information system infrastructure, and deploying the intervention to users, and maintaining the interventions over time. Includes looking at 'leading' indicators (e.g., process changes) regarding intervention use and results. (as opposed to the next "Analyze Care Results" table below that addresses 'lagging indicators' (e.g., clinical outcomes))

• See output repositories for Make Guidance Computable

• C19 Digital Guidelines WG developing and implementation guide for COVID-19 interventions

• HITEQ Center Guide to Improving Care Processes and Outcomes
• HIMSS Improving Outcomes with CDS

• [under development] MCBK Standards WG Metadata work

• eCQI Resource Center
• UMich/MCBK Knowledge Grid efforts
• MCBK UK ‘knowledge hackathons’ to implement NICE guidelines
• AHRQ-funded toolkit for ePROs in patient care
• NQF project to create a measurement framework linking quality of care delivered by telehealth, healthcare system readiness, and health outcomes in a disaster