COKA Workspace

Under Construction

The COKA Project Management Group created an Evidence Based Medicine-on-FHIR (EBMonFHIR) for HL7 Sep2020 WGM PowerPoint. This PPT can also serve as an introduction to COKA efforts. The PPT series includes a 5-step answer to “What do we need to do in early developmental stages?” with:

Agree to standard format for expression – schema/model of FHIR Resources

FHIR Resources at Maturity Level 1

FHIR Resources at Maturity Level 0

2.Agree to common terminologies – codes systems, value sets

We created a Code System Development Protocol

We are working now on creating 4 Code Systems:

Study Design Code System to describe methodology characteristics of scientific observations such as randomized assignment, crossover allocation to cohorts, and qualitative analysis.
Statistic Type Code System to describe the statistics reported such as mean, median, proportion, relative risk, absolute risk difference, p value, confidence interval, and I-squared measure of heterogeneity.
Statistic Model Code System to describe the model characteristics such as linear regression, random-effects analysis, and tau estimation method.
Risk Of Bias Code System to describe the concerns with methods or reporting of scientific observations such as comparator selection bias, gaps in blinding, and selective outcome reporting.

You can join any of the Expert Working Groups.

Read the Invitation to join Expert Working Group
Complete the Code System Development Intake Form

3. Develop tools for initial implementation – demonstrating that data exchange can work

Discussion of work being done by

Content Citation and Classification Tools Development Work Group
Evidence Evaluation and Reporting Tools Development Work Group
Systematic Meta-Review Project Group

4. Adapting tools for early adopter real-world implementation

5. Develop an Implementation Guide.

These are often the “early stages” for standard development in HL7, but we are a little earlier because we are applying the standard to a community that (1) has not been functioning with computable expression for data exchange and (2) has not established universal standards for computable expression. We are making great progress with what it takes for the earliest stages of introducing the computable layer to digital data expression. We sincerely expect to get to #4 by the end of the calendar year.

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COKA Drafting “Protocol Draft for Feasibility Testing of Making Clinical Trial Results Computable”

The Goals are:

Establish feasibility (functionality, accuracy, acceptability, reproducibility) of a human-friendly data entry form to express clinical trial results in a standard for electronic data exchange (FHIR).
Measure usability (success rate, error rate, efficiency, subjective experience, learnability) for the data entry form.

The “clinical trial reporter” can be:

A person who is an investigator of a clinical trial, an author of a report expressing clinical trial findings, or a person contributing to the expression of clinical trial findings for the investigator or author
A person who is summarizing a clinical trial report to express clinical trial findings for another purpose such as evaluating the clinical trial report, including the clinical trial report in synthesis work such as a systematic review, or reporting the clinical trial findings in a different format or to a different audience than the original clinical trial report

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From Earlier Discussions:

This is a draft list of the types of data that could be helpful to make the knowledge supply chain more efficient by making this data computable in ways that support automated update notification and evidence/guidance processing in the knowledge supply chain. COKA teams are working on ways to communicate these data in reusable interoperable standard form. If this ACTS exploration identifies a specific, high priority need for a standardized of version one or more of these items, the COKA teams developing these standards for data exchange and code systems can explore addressing this need as a priority in their work. The interplay in this area between the COKA and ACTS work are discussed in the COVID-19 Knowledge Accelerator (COKA) Knowledge Ecosystem Liaison Work Group, which meets Wednesday 8A ET (see here for WG details).

Citations that a new article exists -- Citation Resource
Study design classifiers - Citation.classifier and Evidence.studyType but we are working on the Study Design Code System
Population and Intervention classifiers -- Group Resource (used for Populations to harmonize with CDS artifacts from CPGonFHIR) and EvidenceVariable Resource
Outcome classifiers - EvidenceVariable Resource
Risk of Bias assessments -- Evidence.certainty.certaintySubcomponent but we are working on the Risk of Bias Code System
Study Results -- Evidence Resource
Synthesis Results -- Evidence Resource
Summary of Findings (synthesis results plus certainty judgments) -- Evidence Resource and EvidenceReport Resource