Dataset Overview
Dataset on clinical application of pharmaceuticalsis provided byChangsha Langhui Information Technology Co., Ltd.Based on the database of the real world applications of medicines built by the DataAssetsAPI platform, a collection of real world drug records from cooperative medical institutions and prescription systems covers core dimensions such as prescription analysis, frequency of use, treatment process data, joint drug use models, and is carefully de-identified to support rational drug use AI decision-making, drug use research (DUR) and clinical pharmaceutical analysis.
| Dataset Name | Dataset on clinical application of pharmaceuticals |
| Data Type | Real World Drug Record + Prescription Analysis Data + Structured JSON |
| Core Content | Common name of drugs, date of prescription, amount of use, route of delivery, frequency of use, length of treatment, joint use, diagnosis (ICD code), prescription unit, age/sex of patient (de-identification) |
| Source Data | EMR, Prescription Management System |
| Use Cases | Drug Use AI Decision-Making, Drug Use Research (DUR), Prescription Behaviour Analysis, Joint Drug Model Excavation, Integrated Drug Clinical Evaluation |
| Format Output | Structured JSON + CSV Export + API Access |
| Status | Coming Soon |
Core Data Dimensions
Data sets are organized using a full chain of drug clinical application, covering the complete data chain from prescription to drug assessment.
| Dimension Category | Field Count | Typical Fields | Value Tier |
|---|---|---|---|
| 8 | Drugs generic, trade/brand, approval number, ATC code, formulation, specifications, manufacturers, classification of drugs | Basic Identifier | |
| Prescription Information | 12 | Prescription date, prescription number, type of prescription (outpatient/hospital/emergency), prescription office, specialist prescription physician, usage, route of delivery, single dose, frequency of delivery, number of days of treatment, total prescription dose, state of prescription | Core Dimensions |
| Diagnosis | 8 | Main diagnosis (ICD-11), secondary diagnosis, type of diagnosis, drug use and diagnosis match, drug overstated, adaptive deviation, clinical path matching, consistency of guidelines | Core Dimensions |
| Joint use | 10 | List of joint medicines, DDI risk class, DDI mechanism classification, joint drug rationality rating, anti-promotive marking, polypharmaceutical rating, antibacterial drug combination marking, Chinese-Western drug combination | Advanced Analysis |
| Treatment management | 6 | Actual treatment days, standard course comparison, completion of treatment, stop-to-do mark, cause classification, long-term drug mark (30 days ⁇ 90 days ⁇ 180 days) | Advanced Analysis |
| Patient portrait | 8 | Age of patients (de-identification group), sex, type of consultation, method of payment, summary of disease history, allergies, liver and kidney function (eGFR/child-Pugh grade), special population markers (pregnancy/lactation/child/old age) | |
| Metadata | 6 | Date of data entry, source agency (de-identification), data quality rating, completeness rating, de-identification, version number | Quality Management |
AI Application Scenarios
A. Decision-making system for rational use of medicines
Training in the rational use of the AAI model based on real world prescription data, which provides for prescription smart auditing, over-state drug identification and individualization of drug recommendations to the drug programme.
Drug Use Research (DUR)
Multidimensional data analysis, such as prescription frequency, treatment process, joint drug use model, supports drug use evaluation, drug use trend analysis and rational drug use policy development.
Analysis and optimization of prescription behaviour
Analysis of prescription behaviour patterns at the section/speciality level, identification of prescription anomalies and unreasonable drug signals, support for clinical path optimization and prescription point evaluation.
Integrated clinical evaluation of pharmaceuticals
A comprehensive clinical evaluation of the actual world drug data supporting drugs, covering the assessment of effectiveness, safety, economy and suitability in multiple dimensions.
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 to AI enterprises and scientific institutions.
Data sample preview · Customized data solution · Professional support