[Study on Standardization Methods of Multi-Source Heterogeneous Data from ICU Medical Devices Based on openEHR].

内容摘要

To address the challenges of multi-source heterogeneous data from ICU medical devices in terms of structure, semantics, and standardization, this study explores a standardized modeling approach based on openEHR. The aim is to achieve unified management and efficient utilization of data, providing a solid data foundation for smart healthcare and evidence-based medicine. This research is grounded in the dual-layer modeling architecture of openEHR. A medical devices data prototype and corresponding templates tailored for the ICU context were designed and constructed, enabling standardized semantic expression and unified encoding of multi-source heterogeneous data. Through multi-protocol standardization mapping, unified acquisition and parsing of device data from different vendors, protocols, and data structures were achieved. Furthermore, a data platform for ICU medical devices was established, facilitating dynamic data collection, real-time standardization processing, and semantic unification. In a practical application at a tertiary A-grade hospital's ICU, the modeling of 98 prototypes for 8 types of devices (including ventilators and patient monitors) and encapsulated 8 clinical scenario templates were completed. The efficiency of device data integration was significantly improved. The time required for preparing clinical research data was reduced from an average of 4.2 hours to 0.5 hours. The standardized modeling method based on openEHR effectively addresses the heterogeneity data issues from ICU medical devices. Its open model-driven architecture supports cross-device interoperability and long-term evolution, providing high-quality data foundations. This approach optimizes clinical decision-making processes and enhances data management efficiency, offering a systematic solution for the effective integration and semantic governance of multi-source heterogeneous data. 针对ICU医学设备多源异构数据在结构、语义和标准化方面的挑战，探索基于openEHR的标准化建模方法，旨在实现数据的统一管理和高效利用，为智慧医疗和循证医学提供坚实的数据基础。. 该研究以openEHR的双层建模架构为基础，设计并构建适用于ICU场景的医学设备数据原型与模板，实现多源异构数据的标准化语义表达与统一编码。通过多协议标准化映射，实现不同厂商、协议和数据结构的设备数据的统一采集与解析，并建立面向ICU医学设备的数据平台，实现数据的动态采集、实时标准化处理与语义统一。. 在某三甲医院ICU的实际应用中，完成了呼吸机、监护仪等8类设备的98个原型建模与8个临床场景模板封装，设备数据接入效率显著提升。临床科研数据准备时间由平均4.2 h缩短至0.5 h。. 基于openEHR的标准化建模方法有效解决了ICU医学设备数据异构性问题，其开放模型驱动的架构支持跨设备互操作与长期演进，提供了高质量数据基础，优化了临床决策流程和数据管理效能。.