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Under Construction
Background
- This evolving page a key component of the ACTS COVID-19 Guidance to Action Collaborative Learning Community's effort to enhance the COVID-19 knowledge ecosystem (see here for an overview of this effort). It contains overviews of in-process work by Collaborative participants to enhance the knowledge ecosystem for COVID-19.
- The key use case we're focused on initially in this effort is optimizing how 'living guidance' (e.g., CDS, eCQMs, eCase Reports) being deployed by Collaborative participants focused on targets such as anticoagulation and testing/triage for COVID-19 can be kept up to date most efficiently and effectively by leveraging 'living recommendations/guidelines' on these topics. And, in turn, informing these guidelines with living systematic reviews that are likewise fed in more automated ways by proactive signaling about important new studies on these targets.
- Collaborative participants such as the Veterans Administration, American College of Emergency Physicians, University of Minnesota, the AU Living Guidelines/University of Melbourne, NACHC, C19HCC Digital Guidelines WG and others have ways they're currently managing this supply chain - and they'll be documenting these in the 'Participant Windows' that are 'child pages' under this Participant Summary Window.
- The tables below synthesize how Collaborative participants are managing the COVID-19 knowledge supply chain - augmented with best practice tools and strategies from GIN and its members, SRDR, COKA and other Collaborative participants. The knowledge ecosystem/supply chain approaches and resources documented in these tables should include enhancements that Collaborative participants (and others) can use to improve their current efforts and results.
- Pages under this page are 'Participant Windows' for Learning Community members to share information about their Collaborative-related knowledge supply chain efforts with others - and to provide raw material for this Participant Window Summary page. The goal is for the teams maintaining the individual Participant Window pages to enable others to benefit from what they are doing and learning within the evidence/guidance ecosystem. And in return, enable others to provide strategies, tools and other input help to the teams responsible for each page accelerate their own ecosystem enhancement efforts.
- The 3 tables below synthesize highlights about ecosystem approaches, tips, and needs across Collaborative participants - as reflected in what they are sharing in their respective Participant Windows. These tables also include other key information (e.g., regarding tools, strategies, needs) provided by other Collaborative participants and not otherwise captured in individual Participant Windows.
- This Collaborative Learning Community aims to generate important benefits to participants (and patients they ultimately serve) from this sharing and cross fertilization. We will use the table at the bottom of this page to document and amplify/spread these benefits.
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Produce Guidance (See this CoP page) | Make Guidance Computable (See this CoP page) | |
|---|---|---|
Current Approach | Using the Agile Approach to CPG Development (inclusive of Integrated Process) to concurrently Produce Guidance and Make Guidance Computable in Agile CPG Team (C19 DGWG) | Currently shared NACHC COVID-19 data dictionary to partnered CHCs/HCCNs modified from the COVID-19 Interoperability Alliance value sets (NACHC) |
| Pearls/Tips Learned/Tools | getting variables coded/mapped is key but time consuming (UMN) Approach Used by C19 DGWG 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 Additional Pearls from C19DGWG 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) | |
| Desired Approach | Harmonize latest evidence from multiple sources and serve/push the guidance to partnered HCCNs (NACHC) Seamless collaboration of clinical stakeholders to determine best practice approach in a constantly evolving environment; More asynchronous work processes to optimize efficiency (ACEP/EC) | From C19DGWG Build computable artifacts/assets on Real-World data to enable better design/ specification and Test-driven Development (Agile) Leverage mature Knowledge Base to implement Knowledge Architecture (e.g. CPG profiles) and design, develop, test, maintain, and reuse artifacts/ assets Concurrent Validation and Development using above Others better mapping approaches/collaboration with terminology vendors to speed mapping (UMN) Pull together multiple fit-for-purpose standards addressing the whole stack: BPM+, SNOMED, FHIR, ANF (VA) Interoperable format leveraging CPG-on-FHIR (working with C19 digital guideline WG on this) (UMN) |
| Needs to Achieve Desired Approach | Check all that apply __Better source/input materials [Details: ] __Common format/terminologies for managing/sharing data [Details: ] __Other [Details:] Better collaboration structure to bring parties together consistently (ACEP/EC) | Check all that apply __Better source/input materials [Details: ] __Common format/terminologies for managing/sharing data [Details: ] Collectively Improve data dictionary for prospective use case: collect patient-level COVID-19 data (NACHC) __Other [Details:] |
| Support We Can Provide Other Participants | Engagement with ACEP’s group of clinical expert (ACEP/EC) | Data dictionary development (NACHC) Workshop on COVID-19 Ontologies (WCO-2020) details of the workshop here: https://github.com/CIDO-ontology/WCO |
Implement Guidance (e.g., as CDS, eCQMs) (See this CoP page) | Analyze Results (e.g., care outcomes) (See this CoP page) | Apply Results (e.g., Quality Improvement, create evidence) (See this CoP page) | |
|---|---|---|---|
Current Approach | |||
| Pearls/Tips Learned/Tools | Need for CDS to be malleable to facilitate interoperability as various sites (even within same system) may have variation in practices; Need to have expertise in house to implement these solutions (UMN) Non-standardized workflows/terminology/modeling allow ambiguity in guideline implementation and do not support platform agnostic sharing. (VA) | ||
| Desired Approach | more real-time tracking of results (UMN) Gain insights on any specific intervention and patient outcomes at an aggregate for each health center controlled network (NACHC) | Feed real-time info on guideline adherence to providers (UMN) Long-term implementation of data capture / workflow improvements (NACHC) | |
| Needs to Achieve Desired Approach | Check all that apply __Better source/input materials [Details: ] __Common format/terminologies for managing/sharing data [Collaboration with others so that decisions we make about standards to use are compatible with choices made by others (VA)] __Other [Details:] Certification/trainings so current CDS builders can quickly learn new skills - e.g., CDS hooks/Smart on FHIR/etc. (UMN) | Check all that apply __Better source/input materials [Details: ] __Common format/terminologies for managing/sharing data [Details: ] Collaborative effort to harmonize and standardize data capture and automated, continuous data extraction. (NACHC) __Other [Details:] | Check all that apply __Better source/input materials [Details: ] __Common format/terminologies for managing/sharing data [Details: ] __Other [Details:] |
| Support We Can Provide Other Participants |
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