台北医学大学临床研究数据库:符合国际通用数据标准的医院电子病历协作数据库

IF 4.1 Q1 HEALTH CARE SCIENCES & SERVICES
Phung-Anh Nguyen, Min-Huei Hsu, Tzu-Hao Chang, Hsuan-Chia Yang, Chih-Wei Huang, Chia-Te Liao, Christine Y. Lu, Jason C. Hsu
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引用次数: 0

摘要

目的 本文旨在全面概述台北医学大学临床研究数据库(TMUCRD)的发展和特点,该数据库是一个从电子健康记录(EHR)和其他来源获得的真实世界数据(RWD)库。方法 TMUCRD 是通过整合三家附属医院(包括台北医学大学医院、万芳医院和双和医院)的电子病历而开发的。数据涵盖 15 年以上的时间,包括各种患者护理信息。该数据库已转换为观察性医疗结果合作组织通用数据模型(OMOP CDM),以实现标准化。结果 TMUCRD 包含 89 个表格(例如,每个医院 29 个表格和 2 个链接表),包括人口统计学、诊断、用药、手术和测量等。数据集包含超过 415 万名患者的各种医疗记录数据,时间跨度为 2004 年至 2021 年。该数据集提供了有关疾病流行、药物使用、实验室检查和患者特征的洞察力。讨论 TMUCRD 具有独特的优势,包括数据类型多样、患者信息全面、与死亡率和癌症登记数据相关联、定期更新和申请流程快捷。它与 OMOP CDM 的兼容性提高了其可用性和互操作性。结论 TMUCRD 是有兴趣利用 RWD 进行临床研究的研究人员和学者的宝贵资源。它的可用性和对各种医疗数据的整合有助于以协作和数据驱动的方式促进医学知识和实践的发展。所有与研究相关的数据都包含在文章中或作为在线补充信息上传。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Taipei Medical University Clinical Research Database: a collaborative hospital EHR database aligned with international common data standards
Objective The objective of this paper is to provide a comprehensive overview of the development and features of the Taipei Medical University Clinical Research Database (TMUCRD), a repository of real-world data (RWD) derived from electronic health records (EHRs) and other sources. Methods TMUCRD was developed by integrating EHRs from three affiliated hospitals, including Taipei Medical University Hospital, Wan-Fang Hospital and Shuang-Ho Hospital. The data cover over 15 years and include diverse patient care information. The database was converted to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) for standardisation. Results TMUCRD comprises 89 tables (eg, 29 tables for each hospital and 2 linked tables), including demographics, diagnoses, medications, procedures and measurements, among others. It encompasses data from more than 4.15 million patients with various medical records, spanning from the year 2004 to 2021. The dataset offers insights into disease prevalence, medication usage, laboratory tests and patient characteristics. Discussion TMUCRD stands out due to its unique advantages, including diverse data types, comprehensive patient information, linked mortality and cancer registry data, regular updates and a swift application process. Its compatibility with the OMOP CDM enhances its usability and interoperability. Conclusion TMUCRD serves as a valuable resource for researchers and scholars interested in leveraging RWD for clinical research. Its availability and integration of diverse healthcare data contribute to a collaborative and data-driven approach to advancing medical knowledge and practice. All data relevant to the study are included in the article or uploaded as online supplemental information.
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来源期刊
CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
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