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Taipei Medical University Clinical Research Database: a collaborative hospital EHR database aligned with international common data standards.
Nguyen, Phung-Anh; Hsu, Min-Huei; Chang, Tzu-Hao; Yang, Hsuan-Chia; Huang, Chih-Wei; Liao, Chia-Te; Lu, Christine Y; Hsu, Jason C.
Afiliación
  • Nguyen PA; Clinical Data Center, Office of Data Science, Taipei Medical University, Taipei, Taiwan.
  • Hsu MH; Research Center of Health Care Industry Data Science, College of Management, Taipei Medical University, Taipei, Taiwan.
  • Chang TH; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
  • Yang HC; Office of Data Science, Taipei Medical University, Taipei, Taiwan.
  • Huang CW; Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan.
  • Liao CT; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
  • Lu CY; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • Hsu JC; International Center for Health Information Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
BMJ Health Care Inform ; 31(1)2024 May 14.
Article en En | MEDLINE | ID: mdl-38749529
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Registros Electrónicos de Salud Límite: Humans País/Región como asunto: Asia Idioma: En Revista: BMJ Health Care Inform Año: 2024 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Registros Electrónicos de Salud Límite: Humans País/Región como asunto: Asia Idioma: En Revista: BMJ Health Care Inform Año: 2024 Tipo del documento: Article País de afiliación: Taiwán
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