Under Construction

This is a draft list of the types of data that could be helpful to make the knowledge supply chain more efficient by making this data computable in ways that support automated update notification and evidence/guidance processing in the knowledge supply chain. COKA teams are working on ways to communicate these data in reusable interoperable standard form. If this ACTS exploration identifies a specific, high priority need for a standardized of version one or more of these items, the COKA teams developing these standards for data exchange and code systems can explore addressing this need as a priority in their work. The interplay in this area between the COKA and ACTS work are discussed in the COVID-19 Knowledge Accelerator (COKA) Knowledge Ecosystem Liaison Work Group, which meets Wednesday 8A ET (see here for WG details). 

• Citations that a new article exists -- Citation Resource
• Study design classifiers - Citation.classifier and Evidence.studyType but we are working on the Study Design Code System
• Population and Intervention classifiers -- Group Resource (used for Populations to harmonize with CDS artifacts from CPGonFHIR) and EvidenceVariable Resource
• Outcome classifiers - EvidenceVariable Resource
• Risk of Bias assessments -- Evidence.certainty.certaintySubcomponent but we are working on the Risk of Bias Code System
• Study Results -- Evidence Resource
• Synthesis Results -- Evidence Resource
• Summary of Findings (synthesis results plus certainty judgments) -- Evidence Resource and EvidenceReport Resource

Earlier Note from Jens Jap, SRDR Team: "my team is interested in ... the development of automated literature searches to assist in SR updates or at least signal an opportunity for one. A preliminary step to this effort was the development of a RCT classifier. I think this is similar to what you previously referred to as COKA enhanced tagging tool, at least in nature. Using these kinds of machine learning assisted tools can bring us a step closer to more automation and living SRs. " Response from David Tovey: "In terms of an RCT Classifier, you may be interested to know that a tool with exactly this name has been developed by James Thomas and his team at UCL in London. It is currently in use within Cochrane but it might be useful to reach out to James if you are interested to explore this. ... The tool is capable of assessing large bundles of citation and abstracts very quickly with an accuracy level that is at least as good as could be achieved manually."