Difference between revisions of "CohortSummary FHIR Resource Proposal"
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This page documents a [[:category:Pending FHIR Resource Proposal|Pending]] [[:category:FHIR Resource Proposal|FHIR Resource Proposal]] | This page documents a [[:category:Pending FHIR Resource Proposal|Pending]] [[:category:FHIR Resource Proposal|FHIR Resource Proposal]] | ||
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Latest revision as of 15:02, 31 October 2019
Contents
- 1 CohortSummary
- 1.1 Owning work group name
- 1.2 Committee Approval Date:
- 1.3 Contributing or Reviewing Work Groups
- 1.4 FHIR Resource Development Project Insight ID
- 1.5 Scope of coverage
- 1.6 RIM scope
- 1.7 Resource appropriateness
- 1.8 Expected implementations
- 1.9 Content sources
- 1.10 Example Scenarios
- 1.11 Resource Relationships
- 1.12 Resource Boundaries
- 1.13 Timelines
- 1.14 gForge Users
- 1.15 When Resource Proposal Is Complete
- 1.16 FMG Notes
CohortSummary
Owning work group name
Clinical Decision Support
Committee Approval Date:
Initial PSS for EBMonFHIR project: June 22, 2018 Resource Approval by CDS WG: May 7, 2019
Contributing or Reviewing Work Groups
Clincial Quality Information Biomedical Research and Regulation
FHIR Resource Development Project Insight ID
1422
Scope of coverage
The scope of the CohortSummary resource is to describe the statistics about a group of entities, including associations of measured variables within the cohort.
Common types of statistics that will be reported includes means, medians, and proportions. Association statistics (such as correlation coefficient) will also be supported to report evidence about associations between observations.
Expressing summary characteristics for cohorts and evidence reports regarding associations 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 original research and systematic reviews and expressing the findings from a body of evidence), the summary of cohort characteristics and associations of variables is the primary method of expressing quantitative results. Standardization is necessary to support interoperability across the evidence-based medicine domain.
Expected implementations
Many knowledge producers who express the biomedical research community knowledge will be the implementers using this resource. Examples of these knowledge producers include Agency for Healthcare Research and Quality (AHRQ), Centers for Disease Control and Prevention (CDC), Cochrane, Duodecim Medical Publications Ltd (from the Finnish Medical Society), EBSCO Health, MAGIC (stands for Making GRADE the Irresistible Choice), and numerous guideline development organizations. In addition Johns Hopkins University and other Clinical and Translational Science Awards (CTSA) Program participants of the NIH National Center for Advancing Translational Sciences (NCATS) have been anticipating a "ClinicalProfile" FHIR Resource that will be functionally replaced with the CohortSummary resource.
Content sources
None expected beyond the standard source specifications. However, the method for expressing citations (eg referring to a publication) is not yet defined and may require additional source specifications.
Example Scenarios
The CohortSummary resource describes:
descriptions of the population, exposure, and measured variables that statistics are about the statistics for summary reporting of measured variables in the cohort where statistic datatype can include classification of the statistic type, sample size for the statistic, quantity of the statistic, a precision estimate (such as a 95% confidence interval), and ratings of the certainty of the statistic descriptions of the source of the effect estimates (eg author, citation, type of research)
Resource Relationships
The CohortSummary Resource will reference Group Resource (to describe intended and actual population cohorts) and EvidenceVariable Resource (to describe exposures and measured variables)
Resource Boundaries
To be determined if implementers have questions that need explanations to support distinction and clarification. CohortSummary will describe association statistics where multiple measured variables are analyzed with one exposure. A similarly structured resource (ComparativeEvidence) will describe comparative statistics where one measured variable is analyzed with multiple exposures. The ComparativeEvidence and CohortSummary resources are purposefully created as separate resources to simplify the compound nesting relationships of exposures and measured variables for classifying statistics.
Timelines
First STU Ballot 2019 September
gForge Users
brynrhodes (github user) KhalidShahin-EBSCO (github user)
When Resource Proposal Is Complete
When you have completed your proposal, please send an email to FMGcontact@HL7.org