WS/T 303-2023 in English
VALIDRules for data element standardization of health information
- Issued on:2023-08-07
- Implemented on:2024-02-01
- File Format:PDF
- Delivery:Via email within 5 business days
$359.00
本标准规定了卫生健康信息数据元模型、属性、卫生健康信息数据元的命名、定义、分类以及卫生健康信息数据元内容标准编写格式规范。
本标准适用于卫生健康信息数据元目录（数据元字典）的研究与制定、卫生健康信息数据元元数据注册系统的设计与开发、卫生健康信息标准的研究、教学与交流。
Introduction
Analysis of the core content of the standard
| Core module | Contents of the 2009 version | Improvements of the 2023 version |
|---|---|---|
| Data metamodel | Three-layer structure of basic object class-attribute-representation | Strengthen the mapping relationship between concept domain and value domain, and increase dimension management requirements |
| Attribute classification | 5 categories and 22 basic attributes | Extend additional class attributes to support professional fields such as health statistics |
| Naming rules | Chinese naming standards | Clearly define the English naming lexical rules (singular nouns/present tense verbs) |
Key technical points
1. Four-layer model of data elements
The standard constructs a complete conceptual system: object class (such as patient, medical institution) → characteristic (such as height, diagnosis result) → representation (value range/data type) → unit of measurement, and realizes unit conversion (such as kg and g) through dimensional management.
2. Value range management mechanism
Enumerated value range case: Blood type code uses a fixed value list (1=type A, 2=type B...), while non-enumerable value ranges such as body temperature require defined description rules (real numbers between 36.0-42.0℃).
Implementation Recommendations
- Metadata Registration System Development: Need to be compatible with ISO/IEC 11179 standard to achieve separate storage of data element concepts and representations
- Clinical Data Collection: Measurement values such as blood pressure should be recorded simultaneously with units of measurement (mmHg/kPa) and representation formats (N5,2)
- System Docking: Resolve semantic consistency issues of encodings in different value domains (such as gender codes 1/2 and M/F) through concept domain mapping
Standard Evolution Analysis
Compared with the 2009 version, the 2023 version mainly strengthens:
- Add compatibility requirements for HL7 RIM data types
- Clearly define HL7 RIM data types class=instrument>Registration status (draft/standard/repealed) life cycle management
- Supplement the extension mechanism such as positive and negative attributes unique to health statistics indicators
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