Evidence of health treatments efficacy
Resource Profile
Evidence of Health Treatment Efficacy Implementation Guide published by Linca Telecomunicações Ltda. This guide is not an authorized publication; it is the continuous build for version 1.0.0. This version is based on the current content of <link> and changes regularly. See the implementation guide for version fhir r5
Resource Profile
Page standards status: Informative
This Resource Profile meets the requirements of the EBM on FHIR Implementation Guide. It sets minimum expectations for the Evidence resource to record, search, and fetch data related to efficacy of health treatments regarding a specific disease, based on scientific articles. It specifies which core elements, extensions, vocabularies, and value sets SHALL be present in the resource and constrains how the elements are used. Providing the floor for standards development for specific use cases promotes interoperability and adoption.
Example Usage Scenarios:
The following are example usage scenarios for this profile:
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Query for treatments efficacy for specific disease.
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Record or update a scientific article about efficacy of a health treatment.
Mandatory and Must Support Data Elements
The following data elements must always be present (Mandatory definition) or must be supported if the data is present in the sending system (Must Support definition). They are presented below in a simple human-readable explanation. Profile-specific guidance and examples are provided as well. The Formal Views below provides the formal summary, definitions, and terminology requirements.
Each Evidence Resource Must Have:
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Treatment
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Disease
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Scientific article stating the efficacy of the treatment for the disease
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Categorized Efficacy Outcomes in accordance to the definitions shown here.
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The entity or person who created this FHIR resource
See guidance below:
Profile Specific Implementation Guidance
This section provides detailed implementation guidance for the Evidence of health treatments efficacy resource to support implementation and certification.
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Only scientific articles that contain the data about efficacy can be inserted in the plataform. If the scientific article has not such data it cannot be posted.
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If the scientific articles covers different types of treatments one evidence resource should be created for each treatment.
Usages
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Examples for this Profile: Examples
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CapabilityStatements using this Profile: >link<
Resource Content
1..1
Identity of the terminology system
Fixed Value: https://terminology.hl7.org/CodeSystem/research-study-purpose-type
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extension:studyCountry
1..1
Country where the study described in the article was conducted.
https://treatments.telix.health/implementationguide/extensions/study-country
1..1
Identity of the terminology system
Fixed Value in case of Active Ingredient: http://www.whocc.no/atc
Fixed Value in case of medication of a specific brand: https://icd.who.int/dev11/l-ichi/en
Fixed value in case of non-drug treatment: https://www.gs1.org/industries/healthcare
1..1
Identity of the terminology system
Fixed Value: https://build.fhir.org/ig/HL7/ebm/en/ValueSet-179431.html
classification:population
1..1
A population (e.g. disease or condition) this Evidence is about
system
1..1
Identity of the terminology system
Fixed Value: https://build.fhir.org/ig/HL7/ebm/en/ValueSet-179431.html
code
1..1
Code Symbol in syntax defined by the system of the disease of which the fhir resource is about
display
1..1
Name in the syntax defined by the system of the disease related to the FHIR resource code
classification:intervention
1..1
An intervention (e.g. medication or procedure) or exposure this Evidence is about
1..1
ATC is used for drug treatments that specify only the active ingredient of the medication. GTIN is used for drug treatments that specify the brand name and dosage. ICHI is used for non-drug treatments. Use only one concept.
Evidence
0
Single evidence bit
+ Warning: Name should be usable as an identifier for the module by machine processing applications such as code generation
Elements defined in Ancestors: id, meta, implicitRules, language, text, contained, extension, modifierExtension
Interfaces Implemented: MetadataResource
1..1
Identity of the terminology system
Fixed Value: https://build.fhir.org/ig/HL7/ebm/en/ValueSet-179431.html
1..1
Quantity of people of the study that had the selected benefit (Cure, remission, response, ..)
⠀⠀⠀ numberOfParticipants
1..1
Cumulative number of participants in the study, including control or placebo groups, or people who received other treatments.
1..1
Identity of the terminology system
Fixed Value: https://treatments.telix.health/codesystem/categorized-efficacy-outcomes
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