An Architecture of Real-World Data Database

Hsiu An Lee, Chien Yeh Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the analysis of medical data, it is now important to use “Real-World Data (RWD)”. In the past, clinical research in the medical field was often completed by clinical trials. Clinical trials are a kind of use of listed drugs and comfort according to research objectives. The process of comparing drugs or other medical treatments on subjects as a control group. The Real-world data research database is essential to precision health. In order to develop the value of clinical data, improve the medical care service, and promote precision medicine, the goal of this research is to design a Real-World Data Research Database, aiming at the wide range and standardization of data, the detail component including: 1.International standard Health Level 7-Fast Health Interoperability Resources (HL-7 FHIR).2.Data sorting and cleaning mechanism.3.Subject-based database research applications.4.Blockchain-based technology for identity verification and database authorization recognition mechanism.

Original languageEnglish
Title of host publicationInnovative Computing - Proceedings of the 5th International Conference on Innovative Computing, IC 2022
EditorsYan Pei, Jia-Wei Chang, Jason C. Hung
PublisherSpringer Science and Business Media Deutschland GmbH
Pages167-176
Number of pages10
ISBN (Print)9789811941313
DOIs
Publication statusPublished - 2022
Event5th International Conference on Innovative Computing, IC 2022 - Guam, United States
Duration: Jan 19 2022Jan 21 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume935 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference5th International Conference on Innovative Computing, IC 2022
Country/TerritoryUnited States
CityGuam
Period1/19/221/21/22

Keywords

  • Blockchain
  • Clinical research database
  • DOI implementation
  • FHIR
  • Real world data

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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