COVID-19 Knowledge Accelerator (COKA) Daily Progress December 9, 2020
Brian Alper
6 people (BA, BK, JD, JO, KS, MA) 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 62 people signed up from 27 countries In 6 continents (Australia, Austria, Bangladesh, Brazil, 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 Knowledge Ecosystem Liaison Work Group discussed two large funding opportunities from the NIH, one to create a Biomedical Data Repository and one to create a Biomedical Knowledgebase. These U24 Cooperative Agreements are intended to support research projects contributing to improvement of the capability of resources to serve biomedical research. Making science computable (with standards, terminology, and tooling) and broadly engaging all stakeholders (academic, industry, government, and nonprofit; local, national, and international) is the key strategy for success for these projects AND the key strategy for the COVID-19 Knowledge Accelerator and for many of the groups we liaise with. Also, all parties are eligible to participate – this is not limited by type or nationality of collaborating entities. With a submission deadline of September 24, 2021, we should plan on large-collaborative effort to approach this together.
We continued discussions with the AHRQ evidence-based Care Transformation Support (ACTS), and where specific COKA efforts can demonstrate the ACTS vision for “full lifecycle” acceleration of COVID-19 knowledge transfer from Data to Evidence to Guidance to Action. We noted the most advanced (tangible, functional) tool development so far is Clinical Trial Results Reporter which allows a person to enter data (in this case results data for baseline and outcome measures in 2 groups being compared) and the results are automatically converted to FHIR resources. For an upcoming project (Systematic Meta-Review {systematic review of systematic reviews} of Steroid Therapy for COVID-19), with people from the COVID-19 Knowledge Accelerator committing to the effort of identifying, selecting, evaluating and synthesizing the evidence, we will next create the Systematic Review Results Reporter. Systematic review developers, guideline developers, and CDS developers could all benefit from ultra-rapid notification of structured data as the findings change.
Two COVID-19 related topics (with efforts in place for advancing computable guidance and CDS) are the use of Anticoagulant therapy and the role of Risk prediction.
- For Anticoagulant therapy recommendations, we would like to identify ‘living’ systematic reviews (such as a Cochrane review) and see if we can help convert the current and developing findings into FHIR resources.
- For Risk prediction, we recognize the type of evidence is different and will need something like a Prediction Rule Validation Results Reporter. We are well prepared in that we have developed the FHIR Evidence Resource, FHIR Statistic Resource, and are developing the related Statistic Type Code System and Statistic Model Code System to cover the schema and terminology demands for expression of prediction rule validation studies. We could develop a Prediction Rule Validation Results Reporter. But are there people who will put in the effort to identify, select, and evaluate prediction rule validation studies? If so we can work with them to complete the cycle.
The Statistic Type Code System Development Steering Group reviewed the draft Statistic Type Code System for simplicity of application. The process led to some re-naming of categories within the Ratio category (Simple ratio, Effect estimate as ratio, Agreement measure as ratio). The latest term set (with changes highlighted) has 94 draft terms and can be found here.
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 |
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|
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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