Dataset Overview

DIP Point Value Libraryis provided byChangsha Langhui Information Technology Co., Ltd.Based on the National Health Insurance Agency. DIP 2.0 Technical Instructions• Compile complete DIP group code, disease score, settlement point value and entry condition data, cover the main diagnostic + major operation grouping logic and complications/mergers breakdown rules, providing accurate data support for the medical insurance DIP payment forecast, hospital patient cost accounting and unit performance management.

Dataset Name	DIP Point Value Library
Data Status	Coming Soon
Technical specifications	DIP 2.0 Technical Regulation (NSS)
Group Logic	Major Diagnostic (ICD-10)+ Main Operations (ICD-9-CM-3) Group, with breakdown of complications/combinations
Core Dimensions	DIP grouping code, disease name, fractional value, settlement point value, entry conditions, signs of complications
Coverage	DIP subgroups for all pathological diseases, including medicine, surgery, gynaecology, paediatrics, tumours, covering surgical/operational/intra-medical treatments
Source Data	National Health Insurance Agency technical guidelines, local health insurance authorities public information data on DIP settlement
Data Type	Structured JSON + CSV Export + API Access
Apply scene	DIP payment forecast, pathological cost accounting, section performance management, Medical Insurance Fund actuarial

Core Field Preview

The data set is organized according to DIP Technical Norms, covering three main modules of cluster code, fraction measurement, and settlement rules.

Field Category	Field Count	Typical Fields
Group Encoding	4	DIP cluster code, pathological name, diagnostic code range (ICD-10), operation code range (ICD-9-CM-3)
List conditions	5	Main diagnostic conditions, main operating conditions, rules for the breakdown of complications, age limits, range of days spent in hospital
Score measurement	6	Rates of disease, standard score, ASD (age/complication/relocation), historical average cost, CV value
Settlement rules	5	Settlement point value, budget point value, monthly settlement rate, year-end liquidation rules, high and low multiplier threshold
Statistics	5	Number of historical cases, average hospital days, average total cost, cost composition (percentage of drugs/testing/treatment/scrutinization), variable factor

Common problems

Does the DIP subvalue library cover the latest technical specifications?

The data sets are organized strictly in accordance with the technical specifications issued by the National Health Insurance Agency (NSS) for version DIP 2.0, which contains the latest version of the cluster programme code, the sub-value measurement method and the settlement rules, ensuring consistency with the current DIP payment reform policy.

Do the fraction data contain local versions?

The data sets are a mix of DIP settlement point values from several pilot cities and local sub-group complementary programmes, which allow cross-regional value comparison analysis and payment criteria studies.

What are the rules for subdivision of the data on entry into the grouping?

The precise entry conditions covering the main diagnostics+ major operations, the rules for the complication/merger breakdown (CC/MCC) trigger, the age stratification and special population group breakdown rules, and support the DIP smart group engine development.

When is the data officially live?

The DIP subvalue library is undergoing a final review of the value validation and regional balance. It is expected that the CSV will be launched in the near future, and that the interface with API will be simultaneously opened. Welcome to us in advance for the sample 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 operational. Supports customised delivery by major pathology category, subvalue range, and area dimension.

Need customised DIP fractional data programs?

Changsha Langhui Information Technology Co., Ltd. The DataAssetsAPI platform is dedicated to providing high-quality, compliant data assets to AI enterprises and scientific institutions.

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