Generated Narrative: CodeSystem validation-process Last updated: 2020-04-09 21:10:28+0000 Profile: Shareable CodeSystem This case-sensitive code system http://terminology.hl7.org/CodeSystem/validation-process defines the following codes: Code Display Definition edit-check edit check A method checks the healthcare resource data against predefined rules or criteria to ensure accuracy and consistency. This method helps identify common errors, such as missing or incorrect fields, by flagging data that does not conform to expected standards. valueset value set A method of verification that involves comparing the data in the healthcare resource against a predefined set of allowed values or codes. This ensures that the data adheres to accepted clinical terminologies, such as SNOMED CT or ICD-10, to maintain interoperability and accuracy. primary primary source A verification method where the data in the healthcare resource is validated directly against the original source of the information. For example, verifying a practitioner’s license information by checking with the relevant licensing authority. This method ensures the highest level of accuracy. multi multiple sources A verification method where data is cross-checked against multiple independent sources to ensure its accuracy and reliability. This method reduces the likelihood of errors by confirming that the information is consistent across various trusted sources. standalone standalone A method where the healthcare resource is validated independently, without relying on external data sources or systems. The data is checked internally for consistency and completeness, often used when external verification is not feasible. in-context in context This method involves verifying the data within the context of its use, considering related resources and the overall scenario. For example, checking that a practitioner’s role is appropriate for the services provided at a specific location. This method ensures that the data is not only correct but also contextually relevant. manual Manual A verification method where human review is involved in checking the accuracy and completeness of the healthcare resource data. This process may include visual inspection, cross-referencing with physical documents, or other non-automated techniques. Manual verification is often used when automated methods are insufficient or unavailable. attester Attester A method where a designated individual or entity formally certifies the accuracy of the healthcare resource data. This attestation process often involves a signature or an official statement confirming that the information has been reviewed and verified as correct. extsource External source Verification method where the data in the healthcare resource is validated against an independent, third-party data source. This could include external databases, registries, or authoritative organizations that provide reliable information. This method adds an extra layer of credibility by confirming data from an outside, trusted entity.
The primary process by which the target is validated
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A method checks the healthcare resource data against predefined rules or criteria to ensure accuracy and consistency. This method helps identify common errors, such as missing or incorrect fields, by flagging data that does not conform to expected standards.
A method of verification that involves comparing the data in the healthcare resource against a predefined set of allowed values or codes. This ensures that the data adheres to accepted clinical terminologies, such as SNOMED CT or ICD-10, to maintain interoperability and accuracy.
A verification method where the data in the healthcare resource is validated directly against the original source of the information. For example, verifying a practitioner’s license information by checking with the relevant licensing authority. This method ensures the highest level of accuracy.
A verification method where data is cross-checked against multiple independent sources to ensure its accuracy and reliability. This method reduces the likelihood of errors by confirming that the information is consistent across various trusted sources.
A method where the healthcare resource is validated independently, without relying on external data sources or systems. The data is checked internally for consistency and completeness, often used when external verification is not feasible.
This method involves verifying the data within the context of its use, considering related resources and the overall scenario. For example, checking that a practitioner’s role is appropriate for the services provided at a specific location. This method ensures that the data is not only correct but also contextually relevant.
A verification method where human review is involved in checking the accuracy and completeness of the healthcare resource data. This process may include visual inspection, cross-referencing with physical documents, or other non-automated techniques. Manual verification is often used when automated methods are insufficient or unavailable.
A method where a designated individual or entity formally certifies the accuracy of the healthcare resource data. This attestation process often involves a signature or an official statement confirming that the information has been reviewed and verified as correct.
Verification method where the data in the healthcare resource is validated against an independent, third-party data source. This could include external databases, registries, or authoritative organizations that provide reliable information. This method adds an extra layer of credibility by confirming data from an outside, trusted entity.