Cushnan Dominic, Berka Rosalind, Bertolli Ottavia, Williams Peter, Schofield Daniel, Joshi Indra, Favaro Alberto, Halling-Brown Mark, Imreh Gergely, Jefferson Emily, Sebire Neil J, Reilly Gerry, Rodrigues Jonathan C L, Robinson Graham, Copley Susan, Malik Rizwan, Bloomfield Claire, Gleeson Fergus, Crotty Moira, Denton Erika, Dickson Jeanette, Leeming Gary, Hardwick Hayley E, Baillie Kenneth, Openshaw Peter Jm, Semple Malcolm G, Rubin Caroline, Howlett Andy, Rockall Andrea G, Bhayat Ayub, Fascia Daniel, Sudlow Cathie, Jacob Joseph
NHSX, UK.
Faculty, UK.
Digit Health. 2021 Nov 23;7:20552076211048654. doi: 10.1177/20552076211048654. eCollection 2021 Jan-Dec.
The prevalence of the coronavirus SARS-CoV-2 disease has resulted in the unprecedented collection of health data to support research. Historically, coordinating the collation of such datasets on a national scale has been challenging to execute for several reasons, including issues with data privacy, the lack of data reporting standards, interoperable technologies, and distribution methods. The coronavirus SARS-CoV-2 disease pandemic has highlighted the importance of collaboration between government bodies, healthcare institutions, academic researchers and commercial companies in overcoming these issues during times of urgency. The National COVID-19 Chest Imaging Database, led by NHSX, British Society of Thoracic Imaging, Royal Surrey NHS Foundation Trust and Faculty, is an example of such a national initiative. Here, we summarise the experiences and challenges of setting up the National COVID-19 Chest Imaging Database, and the implications for future ambitions of national data curation in medical imaging to advance the safe adoption of artificial intelligence in healthcare.
冠状病毒SARS-CoV-2疾病的流行导致了前所未有的健康数据收集以支持研究。从历史上看，在全国范围内协调此类数据集的整理工作一直具有挑战性，原因有几个，包括数据隐私问题、缺乏数据报告标准、可互操作的技术以及数据分发方法。冠状病毒SARS-CoV-2疾病大流行凸显了政府机构、医疗机构、学术研究人员和商业公司之间合作在紧急情况下克服这些问题的重要性。由英国国民保健服务体系数字化部门（NHSX）、英国胸科影像学会、皇家萨里国民保健服务基金会信托基金和学院牵头的国家COVID-19胸部影像数据库就是这样一项全国性倡议的范例。在此，我们总结了建立国家COVID-19胸部影像数据库的经验和挑战，以及对医学影像领域国家数据管理未来目标的影响，以推动人工智能在医疗保健中的安全应用。
