CohortSummary FHIR Resource Proposal
- 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
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
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.
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.
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.
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.
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)
The CohortSummary Resource will reference Group Resource (to describe intended and actual population cohorts) and EvidenceVariable Resource (to describe exposures and measured variables)
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.
First STU Ballot 2019 September
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