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Difference between revisions of "EffectEvidenceSynthesis FHIR Resource Proposal"

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* Have the characteristics of high cohesion & low coupling – need to explore whether coupling is good some places, not elsewhere – layers from Bo’s document  
 
* Have the characteristics of high cohesion & low coupling – need to explore whether coupling is good some places, not elsewhere – layers from Bo’s document  
 
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Across the evidence-based medicine community (hundreds of thousands of people communicating the results of healthcare research through systematic reviews and expressing the findings from a body of evidence), the effect estimate synthesized from a body of evidence is the primary method of expressing quantitative results. Standardization is necessary to support interoperability across the evidence-based medicine domain.
  
 
==Expected implementations==
 
==Expected implementations==

Revision as of 13:54, 9 September 2018



effectEvidenceSynthesis

Owning work group name

Clinical_Decision_Support

Committee Approval Date:

June 22, 2018

Contributing or Reviewing Work Groups

  • Clinical Decision Support
  • Clinical Quality Information
  • Biomedical Research and Regulation

FHIR Resource Development Project Insight ID

1422

Scope of coverage

The scope of the effectEvidenceSynthesis resource is to describe the estimates of an effect of an exposure on an outcome where the effect estimates are derived from the combination of research studies. Effect estimates are a measure of difference between the exposure state and an alternative exposure state (often called the control or comparator state)

Expressing effect estimates is done throughout reporting of biomedical research, systematic reviews, and clinical reference across all disciplines.

RIM scope

Resource appropriateness

Across the evidence-based medicine community (hundreds of thousands of people communicating the results of healthcare research through systematic reviews and expressing the findings from a body of evidence), the effect estimate synthesized from a body of evidence is the primary method of expressing quantitative results. Standardization is necessary to support interoperability across the evidence-based medicine domain.

Expected implementations

Content sources

Example Scenarios

Resource Relationships

Resource Boundaries

Timelines

gForge Users

When Resource Proposal Is Complete

When you have completed your proposal, please send an email to FMGcontact@HL7.org

FMG Notes