SRDR Window

	Identify Studies	Review Evidence
Current Approach	Hand search databases for potentially relevant studies	Team members review evidence by hand and extract data into srdrPLUS. Once extraction is complete we consolidate in case of double extraction using srdrPLUS consolidation tool. This is machine assisted / semi-automated.
Pearls/Tips Learned
Desired Approach	Daily automated scans. Abstract of new evidence is run against every project in srdrPLUS and its corresponding learned models. Every abstract that surpasses a custom relevance threshold is then passed to the project lead.	Fetching of evidence could be automated. If there was a single source of PDFs or source of the evidence data that hasn't been curated yet but contains all the study data it could be made computable within srdrPLUS and then made available in a standard format for downstream consumption.
Needs to Achieve Desired Approach	Check all that apply _X_Better source/input materials [Details: ] _X_Common format/terminologies for managing/sharing data [Details: ] __Other [Details:]	Check all that apply _X_Better source/input materials [Details: ] _X_Common format/terminologies for managing/sharing data [Details: ] __Consistency of outcomes [Details:] __Engagement with primary researchers and upstream stakeholders [Details:] __Engagement with decision makers and other downstream stakeholders [Details:] __Other [Details:]
Support We Can Provide Other Participants

	Produce Guidance	Make Guidance Computable
Current Approach
Pearls/Tips Learned
Desired Approach
Needs to Achieve Desired Approach	Check all that apply __Better source/input materials [Details: ] __Common format/terminologies for managing/sharing data [Details: ] __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

	Implement Guidance (e.g., as CDS, eCQMs)	Analyze Results (e.g., care outcomes)	Apply Results (e.g., Quality Improvement, create evidence)
Current Approach
Pearls/Tips Learned
Desired Approach
Needs to Achieve Desired Approach	Check all that apply __Better source/input materials [Details: ] __Common format/terminologies for managing/sharing data [Details: ] __Other [Details:]	Check all that apply __Better source/input materials [Details: ] __Common format/terminologies for managing/sharing data [Details: ] __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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How SRDR Contributes Currently to Evidence Ecosystem, including Update Notification

SRDR Plans Relevant to Enhanced Evidence Ecosystem, including Update Notification

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."