COVID-19 Knowledge Accelerator (COKA) Daily Progress December 3, 2020
Brian Alper
7 people (BA, EA, HL, IK, JD, KS, RC) participated today in up to 2 active working group meetings.
You are welcome to join the Code System Development effort -- see Invitation to join Expert Working Group. At this time we currently we have 61 people signed up from 27 countries In 6 continents (Australia, Austria, Bangladesh, Brasil, Canada, Costa Rica, Czech Republic, Egypt, Finland, France, Ghana, Greece, India, Ireland, Italy, Japan, Lebanon, Malaysia, Nigeria, Peru, Romania, South Africa, South Korea, Sri Lanka, Switzerland, United Kingdom, United States)
The Content Classification and Tools Development Work Group discussed multiple developments:
- We shared the well-received view of some of the work from this group in a presentation “Making Science Computable: EBMonFHIR and COVID-19 Knowledge Accelerator” to the Johns Hopkins Center for Clinical Trials and Evidence Synthesis (CCTES) earlier today.
- For the tools development needs for the Steroids for COVID-19 Systematic Meta-Review project:
- Search results compilation and de-duplication in PICO Portal is working well with 656 search results from our circa November 20 searches.
- Article selection support is looking good – we are working through pilot screening to establish our most efficient protocol and did not have technical development needs at this time.
- The one enhancement request specific to this project is to determine how to transfer open URLs to available content from Ovid-based searches rather than the URLs that require Ovid log-in.
- The group started discussing plans for creating a MEDLINE XML to FHIR Citation Converter Tool.
The Project Management Group followed up on a request from a participant in the CCTES presentation earlier today. The request was to consider how to map JSON Cohort Definitions from OMOP (used by OHDSI with ATLAS) to FHIR Group Resource specifications fitting the EBMonFHIR/COKA developments. For those who don’t read alphabet soup, what this means is structured definitions of groups of people are very useful for applying computers to research development. There are standards and systems mapping out numerous structured definitions for this purpose in ways not using FHIR. If that effort can be mapped to FHIR it can be interoperable with electronic health record data without having to reproduce all the work many others have done. We reviewed the structural schema being used to prepare for discussions about this mapping.
To get involved or stay informed:
You can learn more about the COVID-19 Knowledge Accelerator (COKA) project at https://www.gps.health/covid19_knowledge_accelerator.html
You can find all the progress notes at a Google Drive folder for the project and each Work Group has a Progress Report document where you can find the details.
You can join any of the groups that are now meeting in the following schedule:
Weekly Meeting Schedule
|
Day |
Time (Eastern) |
Team |
|
|
Monday |
7-8 am |
Project Management |
|
|
Monday |
9-10 am |
Systematic Meta-Review |
|
|
Monday |
4-5 pm |
Statistic Model Code System Development |
|
|
Tuesday |
10-11 am |
Evidence Evaluation and Reporting Tools Development |
|
|
Tuesday |
2-3 pm |
Study Design Code System Development |
|
|
Wednesday |
8-9 am |
Knowledge Ecosystem Liaison |
|
|
Wednesday |
9-10 am |
Statistic Type Code System Development |
|
|
Thursday |
9-10 am |
Content Citation and Classification Tools Development |
|
|
Thursday |
4-5 pm |
Project Management |
|
|
Friday |
9-10 am |
Risk Of Bias Code System Development |
|
|
Friday |
10-11 am |
Communications (Awareness, Scholarly Publications) |
|
To join any of these meetings:
________________________________________________________________________________
+1 929-346-7156 United States, New York City (Toll)
Conference ID: 324 918 025#
Meeting support by ComputablePublishing.com
________________________________________________________________________________
Brian S. Alper, MD, MSPH, FAAFP, FAMIA
CEO, Computable Publishing LLC
http://computablepublishing.com Making
Science Machine-Interpretable
Lead, COVID-19 KNOWLEDGE ACCELERATOR
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