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Data saves lives: optimising routinely collected clinical data for rare disease research
[摘要] 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.
[发布日期] 2023-09-06 [发布机构] 
[效力级别]  [学科分类] 
[关键词] Electronic health records;Information management;Rare disease;Translational research;Biomedical;Epidemiology [时效性] 
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