Korábbi változatok
Under Construction
Identify Studies | Review 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:] | |
| Support We Can Provide Other Participants |
Produce Guidance | Make Guidance Computable | |
|---|---|---|
Current Approach | ||
| Pearls/Tips Learned | ||
| Desired Approach | ||
| Needs to Achieve Desired Approach | ||
| 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 | COVID 19 workflows in visio diagrams, related documentation templates in CPRS (GUI on top of VistA) in broad use in the VA. | ||
| Pearls/Tips Learned | Non-standardized workflows/terminology/modeling allow ambiguity in guideline implementation and do not support platform agnostic sharing. | ||
| Desired Approach | Pull together multiple fit-for-purpose standards addressing the whole stack: BPM+, SNOMED, FHIR, ANF | ||
| Needs to Achieve Desired Approach | Collaboration with others so that decisions we make about standards to use are compatible with choices made by others. | ||
| Support We Can Provide Other Participants | We can show them what we are doing, see if they have ideas to contribute. |
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CXR AI Tool: https://www.healthcareitnews.com/news/university-minnesota-epic-build-new-ai-tool-detect-covid-19-x-rays
Previous Notes
MN Current Process:
- 100 people looking at evidence on 25 targets - EBM Team
- Librarians running searches on different databased in different intervals. Ad hoc identify important papers that generate press. [Sandy - use DocSearch to identify this new information - searches clinicaltrials.gov, health rss feeds, WHO databases, pubmed, etc.]
- EBM team reviews literature, updates recommendations. Content expert team/system ops team decides what gets implemented. Teams are separate but trying to optimize going forward.
- Going forward, plan to coordinate more closely with EPC. They set up alerts about new info. Manually update SRDR with this new information. SS has team that makes ultimate decision.
- MN EPC looking at how to abstract information from studies better to update guideline. How to automate processes better (PICO processing).
- What kind of tools are available to support more standard/excel data capture to speed up structuring of data pulled from reviews. Or does UMN need to create the structured file for input into SRDR. Looking at published trials and also studies underway. (3 ways to get data into SRDR: 1) abstract from studies as they are reviewed, 2) input from other systems (Distiller SR/excel) - most common).
- interested in ML/NLP support for screening process - look at a wider set of study designs. Prioritize what will be helpful for the topic. (Abstractor builds a model to see if something is relevant to a target (deep learning/neural networks) - presents to user for screening. Being rolled into SRDR.) They are watching COVID-NMA, but not using it in their work at this point. Considering supporting anticoagulation for COVID-NMA work.
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