住院患者VTE智能防治预警高质量数据集

该数据为医院在住院患者VTE（静脉血栓栓塞症）风险评估与防治过程中产生，汇集了患者的用药、病史、超声结果、诊断、病情描述数据。数据形态为结构化电子病历数据，用于构建VTE智能预警与防治管理系统。业务场景应用于全院各住院病房。该数据集可支撑AI模型动态评估患者VTE风险，自动提醒医生规范实施预防方案，并对高危患者进行重点监控，助力降低院内VTE发生率，保障患者安全。This dataset is generated during the VTE (Venous Thromboembolism) risk assessment, prevention and treatment processes for inpatients in hospitals. It compiles patient data including medication records, medical histories, ultrasound findings, clinical diagnoses and clinical condition descriptions. As structured electronic health record (EHR) data, it is utilized to develop intelligent VTE early warning, prevention and treatment management systems. Its applicable business scenarios cover all inpatient wards across the hospital. This dataset can support AI models to dynamically assess patients' VTE risk, automatically remind clinicians to implement standardized preventive protocols, and perform focused monitoring for high-risk patients, thus helping to reduce the incidence of in-hospital VTE and ensure patient safety.

搜集汇总

背景与挑战

背景概述

该数据集包含住院患者的用药、病史及检查等结构化电子病历数据，用于构建VTE智能预警系统，通过AI模型动态评估风险并辅助医生实施防治方案，从而降低院内VTE发生率。