What is the basic idea?
We need to know how to reduce the negative impact of COVID-19. The sooner we know what works the sooner we overcome. We learn what works by carefully evaluating all the relevant research and observations. We have a lot to learn and we have many people who know how to do this careful evaluation to learn it.
One way we accelerate our knowledge about COVID-19 is to share what we learn and coordinate among the many working to develop our knowledge. This way we reduce excess duplication and cover more needs. A focus of the COVID-19 Knowledge Accelerator is for people creating the systematic reviews of our research to share and coordinate their efforts. But there are other purposes of this project. Let’s help each other learn how to do it faster while we are doing it.
For a 2-page summary of this idea see COVID-19 Knowledge Accelerator: Help Us Help Us Overcome COVID-19 Impact at the Speed of Thought
Another way we accelerate our knowledge about COVID-19 is to use computers in advanced ways like what may be called artificial intelligence, machine learning, machine intelligence, natural language processing, supercomputers, or high-performance computing. Computers are not able to do this yet because we have not yet trained a machine how to evaluate scientific research to determine what works. The people doing the systematic reviews can train the machine on what they do, and the machine can be developed to help the people do it faster. Let’s help each other learn how to do it faster while we are doing it.
How can I help?
You can join any group meeting at any time. Here’s the current meeting schedule:
- Project Management: Project coordination and technical standards development
- This work group will maintain the FHIR Citation, Evidence, EvidenceReport, EvidenceVariable, and Statistic Resources.
- Meeting times: Mondays and Thursdays at 7:00am to 8:00am ET, and Thursdays 4:00pm to 5:00pm ET
- Study Design Code System Development: Define precise concepts for the expression of research study methods
- Meeting time: Tuesdays at 2:00pm to 3:00pm ET
- Statistic Type Code System Development: Define precise concepts for the expression of the measures used to report scientific results
- Meeting time: Wednesdays at 9:00am to 10:00am ET
- Statistic Model Code System Development: Define precise concepts for the expression of statistic model characteristics
- Meeting time: Mondays at 4:00pm to 5:00pm ET
- Risk of Bias Code System Development: Define precise concepts for expression of assessments of quality or certainty regarding evidence
- Meeting time: Fridays at 9:00am to 10:00am ET
- Content Citation and Classification Tools Development: Refine or contribute to providing user interfaces or APIs or transformations
- Meeting time: Thursdays at 9:00am to 10:00am ET
- Evidence Evaluation and Reporting Tools Development: Refine or contribute to providing user interfaces or APIs or transformations
- Meeting time: Tuesdays at 10:00am to 11:00am ET
- Systematic Meta-Review: Create systematic reviews of systematic reviews in FHIR format
- Meeting times: Mondays at 9:00am to 10:00am ET
- Knowledge Ecosystem Liaison: Liaise with other groups (e.g. ACTS, CDC ACG, COVID-END, CPGonFHIR) to coordinate with COKA efforts
- Meeting time: Wednesdays at 8:00am to 9:00am ET
- Communications: Increase awareness of the effort, including scholarly communication
- Meeting time: Fridays at 10:00am to 11:00am ET
Please share your expertise through the code system development efforts. You can participate without being present at group meetings. To join an expert working group use the code system development intake form.
To be added to the COKA distribution email list to receive daily progress updates, email email@example.com
How to Join the Meetings
To attend any of these working group meetings use this link to join the Microsoft Teams meeting. To join by phone, dial: +1 929-346-7156 for United States with Conference ID: 324 918 025#, or see Local Phone Numbers.
Who is behind this?
Soon we should be able to answer this with a big list, derived by compiling the lists of everyone signing up for any of the project support roles noted above. As of March 27, 2020 this was an idea offered by Brian S. Alper, MD, MSPH, FAAFP, FAMIA. Ideas are derived by building on the contributions of others and this idea was developed by Dr. Alper’s roles or interactions with the following groups (in alphabetical order):
- Agency for Healthcare Research and Quality (AHRQ) evidence-based Care Transformation Support Initiative (ACTS)
- Centers for Disease Control and Prevention (CDC) Adapting Clinical Guidelines for the Digital Age (ACG)
- COVID-19 Open Research Dataset (CORD-19)
- CORD-19-on-FHIR — Semantics for COVID-19 Discovery
- DynaMed — Dr. Alper is the Founder of DynaMed, a scaled solution for systematic transformation of clinical research findings into point-of-care clinical reference support
- EBSCO COVID-19 Portal Task Force — Dr. Alper was the lead for providing a free, rapidly developing COVID-19 Updates & Information Portal
- EBSCO Information Services — Dr. Alper was the Chief Medical Knowledge Officer for EBSCO Clinical Decisions
- Health Level 7 International (HL7®) Fast Healthcare Interoperability Resources (FHIR®) Resources for Evidence-Based Medicine (EBM) Knowledge Assets project (EBMonFHIR) — Dr. Alper is the project lead
- Mobilizing Computable Biomedical Knowledge (MCBK)
As of June 26, 2020, COKA had more than 100 working meetings with more than 40 active participants from more than 25 organizations from acedemia, industry, government, and non-profits in 7 countries.
As of August 1, 2020, Dr. Alper started Computable Publishing LLC to support standard-based machine-interpretable expression of public knowledge, especially related to healthcare and scientific evidence.
® Health Level Seven, HL7 and FHIR are registered trademarks of Health Level Seven International, registered in the U.S Trademark Office.
Email Brian Alper: firstname.lastname@example.org