数据拯救生命:优化常规收集的临床数据用于罕见疾病研究
Ameenat Lola Solebo1,2,3, Pirro Hysi4,5,6, Lisanne Andra Horvat-Gitsels4,7
1Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK. a.solebo@ucl.ac.uk.
Orphanet journal of rare diseases
|September 11, 2023
概括
医疗保健提供者正在使用创新来管理流行病后的健康数据. 参与健康数据信息学对于罕见疾病研究至关重要,以避免落后.
科学领域:
- 医疗信息学 医疗信息学
- 在医疗保健中的数据科学.
- 临床数据管理 临床数据管理
背景情况:
- 疫情后的组织变化需要在健康数据管理方面进行创新.
- 常规收集的临床信息的现实数据集越来越多地用于数据驱动的医疗保健服务.
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