학술논문

Data saves lives: optimising routinely collected clinical data for rare disease research
Document Type
article
Source
Orphanet Journal of Rare Diseases, Vol 18, Iss 1, Pp 1-7 (2023)
Subject
Electronic health records
Information management
Rare disease
Translational research
Biomedical
Epidemiology
Medicine
Language
English
ISSN
1750-1172
Abstract
Abstract Necessity driven organisational change in the post-pandemic landscape has seen health care providers adopting innovations to manage and process health data. These include the use of ‘real-world’ datasets of routinely collected clinical information, enabling data-driven delivery. Rare disease risks being ‘left-behind’ unless our clinical and research communities engage with the challenges and opportunities afforded by the burgeoning field of health data informatics. We address the challenges to the meaningful use and reuse of rare disease data, and, through a series of recommendations around workforce education, harmonisation of taxonomy, and ensuring an inclusive health data environment, we highlight the role that those who manage rare disease must play in addressing them.