Dataset Overview
Structured Medical Device and Consumables Datasetis provided byChangsha Langhui Information Technology Co., Ltd.A knowledge database of medical devices built on the DataAssetsAPI platform. A collection of 1 million+ structured devices from the NMPA medical device register and the material collection platform files, covering Class I/II/III medical devices and high-/low-value consumables, supporting medical device AI-assisted decision-making, waste management optimization, and the construction of knowledge graphs for registration review.
| Dataset Name | Structured Medical Device and Consumables Dataset |
| Total Data Volume | 1 million + Device and consumables records |
| Device category | Source and non-source, in vitro diagnostic reagents (IVD), high-value materials, and low-value materials widely covered |
| Regulatory class | Class I (filing), Class II (provincial registration), Class III (national registration) widely covered |
| Source Data | NMPA Registered Database of Medical Devices, Public Notices Filed by Provincial Drug Administration Boards, and Collection Platform for Consumable Materials |
| Data Type | Structured JSON + Product Technical Requirements Text + Registry Search Index |
| Classification Code | 2017 edition of the Catalogue of Medical Devices (22 major groups + 26 primary product categories + 1,157 secondary product categories) |
| Field Coverage | 8+ core dimensions, covering the full lifecycle data of devices |
| Format Output | Structured JSON + CSV Export + API Access |
Dataset fields
The dataset is organized according to the NMPA classification code system, covering the full chain of device registration review, production and distribution, and clinical use.
| Dimension Category | Field Count | Typical Fields | Value Tier |
|---|---|---|---|
| Basic Identifier | 6 | Device name (common name), trade name, registration number/file number, specification type, structure and composition, product graphic index | Basic Identifier |
| Management Classification | 8 | Management categories (I/II/III), classification codes (major category + level 1 + level 2), sterility, implantation, in vitro diagnosis, innovative device marking, priority review marking, emergency review marking | Category tags |
| Scope of Application | 4 | Scope of application/intended use, applicable population, contraindications, environmental requirements for use | Clinical Applications |
| Manufacturer | 6 | Name of manufacturer, name of registrant/filer, production address, production license number, after-sales service unit, domestic production/import marking | Traceability |
| Technical Parameters | 10 | Summary of product technical requirements, key performance indicators, summary of biocompatibility evaluation, sterilization, shelf life/storage life, storage conditions, packaging specifications, summary of label drafts | Technical core |
| Clinical Evaluation | 6 | Path to clinical evaluation (no clinical evaluation/similar device/clinical trial), clinical trial number, primary effectiveness endpoints, summary of safety data | Evidence of Registration |
| Dedicated Materials | 8 | Classification of Materials (High/Low), Unit of Measure, Aggregate Code, Medical Code, Number of Sun-Connected Provinces, Selected Collection Status, Historical Price Range, Minimum Sales Unit | Usage Properties |
| Metadata | 6 | Data inclusion date, last update date, data source, quality rating, completeness score, and version number | Quality Management |
De-identified JSON Data Sample
A structured JSON sample after de-identification is shown below, with the core device information preserved in its entirety.
{ "device_id": "DEV-2025-P3K7S2M8F1", "device_name": "Implantable pacemaker", "device_name_en": "Implantable Pacemaker", "registration_cert": "NMPA device approval XXXXXXXXXX", "management_class": "III", "classification_code": "01-07-01", "category_path": "sample > sample-sample > sample", "is_sterile": true, "is_implant": true, "intended_use": "sample value", "contraindications": "sample、sample", "structural_composition": "sample、sample。sample，sample。", "technical_specs": { "pacing_modes": ["DDD","DDDR","AAI","AAIR","VVI","VVIR"], "battery_life_years": "8-12", "mri_conditional": true, "rate_response": true }, "clinical_evaluation": { "pathway": "sample value", "ctr_number": "NCT00002222", "primary_endpoint": "sample（12sample）≥ 90%" }, "manufacturer": {"name": "Technique name","country": "sample value","production_license":"CNXXXXXXXX"}, "shelf_life_months": 24, "version": "2025Q1", "quality_score": 99.0
}AI Application Scenarios
AI for Medical Device Registration Review
Over one million pieces of data support NMPA-recommended knowledge graphs and smart classification codes for registration reviews, and assist with the mapping and review elements of registration filings.
Analysis of Materials Collection Strategy
RDC + Winning Bid + Sun-Connected Province data support the optimization of CPI construction strategy, probability projection, and procurement forecasting.
Smart Decision-Making in Hospital Materials Management
The SPD (Supply-Processing-Distribution) smart management system, with data from the UDI + management category + valid data training hospital, supports early warning and effective inventory management.
Monitoring of Adverse Medical Events
Device Name + Scope of Application + Clinical Evaluation Path data support training of adverse event signal extraction and device safety assessment models.
IVD Performance Evaluation Modelling
Reagent Kit Sensitivity/Specificity/Detection Principle data support IVD performance comparison modelling, supporting laboratory methodological evaluation.
Surgical Robot AI Assistance
Surgical Robot Technical Parameters + Degrees of Freedom + Joint Adaptability data for training surgical robot autonomous operation AI models.
Frequently asked questions
Need a customized data solution?
Changsha Langhui Information Technology Co., Ltd. The DataAssetsAPI platform is dedicated to providing high-quality, compliant data assets for AI companies and research institutions. It supports flexible combinations by dimension, quality level, and quantity scale.
Data sample preview · Customized data solution · Professional support