Dataset Overview

DRG Weight and Fee Datasetis provided byChangsha Langhui Information Technology Co., Ltd.The data base on the data on the diagnosis of diseases (DRG) is based on the data of the National Health Insurance Agency. CHS-DRG 1.2 Version Grouping ProgrammeADRG and DRG Group Encoding, Relative weight (RW), Rates and Reference Point Data under the 26-largeest MDC (major diagnostic category) grouping, covering the three main surgical/elementary/operational sub-groups, providing authoritative data support for the medical insurance DRG payment forecast, hospital performance evaluation and cost-precision management.

Dataset Name	DRG Weight and Fee Dataset
Data Status	Coming Soon
Technical specifications	CHS-DRG 1.2 Version Sub-Group Programme (NSS)
Group Level	MDC (26 major categories) ADRG (core diagnosis-related group) DRG (subsequent diagnosis-related group)
Core Fields	DRG code, DRG name, relative weight (RW), rates, reference points, average days of hospitalization, high and low multiplier limits
Coverage	Neural/respiration/cycling/ingestion/ musculoskeletal/gynaecology/neonatal/tumour/infection, etc. 26 Large MDC fully covered
Source Data	NHS CHS-DRG Technical Regulation, Local Health Insurance Service DRG rates public data
Data Type	Structured JSON + CSV Export + API Access
Apply scene	DRG payment forecast, hospital performance evaluation, control of unit costs, CMI index calculation

Core Field Preview

The data set is organized according to the CHS-DRG three-tier grouping system, covering three main modules: group code, weighting, and rate settlement.

Field Category	Field Count	Typical Fields
Group Encoding	6	MDC code and name, ADRG code and name, DRG code (4), DRG name, group type (surgery/intra-surgery/operation), grouping conditions (main diagnostic + main operation)
Weighting	6	Contribution of relative weight (RW), historical average cost, cost logarithmic conversion, weight adjustment factor, CV value, CMI index
Rate settlement	5	Base rates, MDC rates, base points, high and low multiplier limits (floor/ceiling), settlement formula parameters
Efficiency indicators	4	Average hospital days, cost-efficiency index, time efficiency index, death risk classification
Exclusion & Merge	4	List of diagnostic code exclusions, list of complications of complications of complications (CC/MCC), QY group (Society group) identification, pre-group identification

Common problems

Is the DRG right-pay data based on the latest version of CHS-DRG?

The data sets are organized strictly on the basis of the CHS-DRG 1.2 version of the cluster programme, which contains complete 26 large MDC ⁇ ADRG ⁇ DRG 3-tier grouping system and corresponding weight data, updated in conjunction with the DRG payment reform of the National Health Insurance.

How do relative weight (RW) data measure?

The relative weight is based on historical case cost data measured by statistical methods (the average cost logarithmic conversion method) and is marked as weight stability (CV values).

Does it contain a breakdown of complications/mergers (CC/MCC)?

Complete inclusion of CC lists (complicated and combined) and MCC lists (serious complications and complications), and indication of whether the DRG cluster code is accompanied by CC/MCC to support the breakdown of group weight differences.

When is the data officially live?

The DRG rights and charges data set is currently undergoing a final re-check and rate consistency review. It is expected that the CSV will be launched shortly, and will be simultaneously open to export to API. Welcome to get in advance on the model data and business programs.

How do I get data or business advice in advance?

This dataset is provided byChangsha Langhui Information Technology Co., Ltd.The DataAssetsAPI platform is operated. Supports customised delivery by MDC large category, DRG group type (surgery/intra-surgery/operation), area rate dimension.

DRG Right-Paying Program that needs customisation?

Changsha Langhui Information Technology Co., Ltd. The DataAssetsAPI platform, which is dedicated to providing high-quality, compliant data assets to AI enterprises and scientific institutions, supports flexible combinations of MDC, DRG group type, and area rate dimensions.

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