データセット概要
医薬品臨床応用データセットはChangsha 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 dissensitized to support rational drug use AI decision-making, drug use research (DUR) and clinical pharmaceutical analysis.
| データセット名 | 医薬品臨床応用データセット |
| データ種別 | Real World Drug Record + Prescription Analysis Data + Structured JSON |
| 核心内容 | 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 (dissensitization) |
| ソースデータ | EMR, Prescription Management System |
| 活用シーン | Drug Use AI Decision-Making, Drug Use Research (DUR), Prescription Behaviour Analysis, Joint Drug Model Excavation, Integrated Drug Clinical Evaluation |
| フォーマット 出力 | Structured JSON + CSV 导出 + API 接口 |
| 状态 | 近日公開 |
核心データ次元
Data sets are organized using a full chain of drug clinical application, covering the complete data chain from prescription to drug assessment.
| サイズ:大类 | フィールド数 | 代表的なフィールド | 价值层级 |
|---|---|---|---|
| 药品标识 | 8 | Drugs generic, trade/brand, approval number, ATC code, formulation, specifications, manufacturers, classification of drugs | 基础标识 |
| 处方信息 | 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 | 中心次元 |
| 诊断关联 | 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 | 中心次元 |
| 联合用药 | 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 | 高级分析 |
| 疗程管理 | 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) | 高级分析 |
| 患者画像 | 8 | Age of patients (dissensitization 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) | 上下文信息 |
| メタデータ | 6 | Date of data entry, source agency (dissensitization), data quality rating, completeness rating, dissensitisation, version number | 品質管理 |
AI活用シーン
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.
よくあるご質問
カスタマイズしたデータソリューションが必要ですか?
Changsha Langhui Information Technology Co., Ltd. The DataAsetsAPI platform is dedicated to providing high-quality, compliant data assets to AI enterprises and scientific institutions.
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