Overview
This endpoint provides comprehensive quality assessment for vocabularies, evaluating data integrity, consistency, completeness, and adherence to terminology standards. It includes automated quality checks, validation reports, and improvement recommendations.Path Parameters
The unique identifier for the vocabulary (e.g., “SNOMED”, “ICD10CM”, “LOINC”)
Query Parameters
Type of quality assessment
Options:
Options:
comprehensive
, data_integrity
, consistency_check
, completeness_audit
, standards_compliance
Include detailed findings for each quality issue
Include improvement recommendations
Include example concepts illustrating quality issues
Minimum severity level for reported issues
Options:
Options:
critical
, high
, medium
, low
, all
Limit assessment to specific domains (comma-separated)
Examples:
Examples:
Condition,Procedure,Drug
Specific quality dimensions to assess (comma-separated)
Options:
Options:
accuracy
, completeness
, consistency
, timeliness
, validity
, integrity
Compare quality against a baseline version
Specific vocabulary release version (defaults to latest)
Response
Indicates if the request was successful
Usage Examples
Comprehensive Quality Assessment
Get complete quality assessment:Critical Issues Only
Focus on critical quality issues:Domain-Specific Quality Check
Assess specific domains:Quality Trend Analysis
Compare with previous version:Specific Quality Dimensions
Focus on particular quality aspects:Quality Assessment Types
Comprehensive
- Complete quality evaluation across all dimensions
- Includes validation reports and recommendations
- Provides detailed findings and examples
Data Integrity
- Focus on data consistency and referential integrity
- Identifies orphaned concepts and broken references
- Validates cross-reference accuracy
Consistency Check
- Evaluates naming and formatting consistency
- Identifies pattern violations
- Assesses structural uniformity
Completeness Audit
- Identifies missing data and incomplete records
- Evaluates coverage gaps
- Assesses mandatory field completion
Standards Compliance
- Validates adherence to terminology standards
- Checks formatting and structural requirements
- Evaluates best practice compliance
Quality Dimensions
Accuracy
- Correctness of concept definitions
- Semantic accuracy of relationships
- Precision of concept classifications
Completeness
- Presence of required data elements
- Coverage of concept domains
- Availability of necessary metadata
Consistency
- Uniform naming conventions
- Consistent relationship patterns
- Standardized formatting
Validity
- Adherence to data format rules
- Valid value ranges
- Proper data types
Integrity
- Referential integrity maintenance
- Hierarchical structure validity
- Cross-reference accuracy
Timeliness
- Currency of concept information
- Outdated concept identification
- Version update frequency
Quality Scoring
Score Interpretation
- 90-100: Excellent quality (Grade A)
- 80-89: Good quality (Grade B)
- 70-79: Fair quality (Grade C)
- 60-69: Poor quality (Grade D)
- 0-59: Unacceptable quality (Grade F)
Severity Levels
- Critical: Issues requiring immediate attention
- High: Important issues affecting functionality
- Medium: Moderate issues requiring review
- Low: Minor issues with minimal impact
Related Endpoints
- Get Vocabulary Statistics - Statistical analysis
- Get Vocabulary Coverage - Coverage analysis
- Get Vocabulary Changelog - Change tracking
- Get Vocabulary Metadata - Comprehensive metadata