Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK; Health Data Research UK Midlands, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Department of Cardiology, Division of Heart and Lungs, University of Utrecht, Utrecht, Netherlands.
Health Data Research UK London, London, UK; Institute of Cardiovascular Science and Institute of Health Informatics, Faculty of Population Health Sciences, University College London, London, UK.
Lancet Digit Health. 2022 Oct;4(10):e757-e764. doi: 10.1016/S2589-7500(22)00151-0. Epub 2022 Aug 29.
Big data is important to new developments in global clinical science that aim to improve the lives of patients. Technological advances have led to the regular use of structured electronic health-care records with the potential to address key deficits in clinical evidence that could improve patient care. The COVID-19 pandemic has shown this potential in big data and related analytics but has also revealed important limitations. Data verification, data validation, data privacy, and a mandate from the public to conduct research are important challenges to effective use of routine health-care data. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including representation from patients, clinicians, scientists, regulators, journal editors, and industry members. In this Review, we propose the CODE-EHR minimum standards framework to be used by researchers and clinicians to improve the design of studies and enhance transparency of study methods. The CODE-EHR framework aims to develop robust and effective utilisation of health-care data for research purposes.
大数据对于旨在改善患者生活的全球临床科学的新发展至关重要。技术进步使得结构化电子医疗记录得以常规使用,这有可能解决临床证据中的关键缺陷,从而改善患者护理。COVID-19 大流行在大数据和相关分析中展示了这一潜力,但也揭示了重要的局限性。数据验证、数据验证、数据隐私以及公众进行研究的授权是有效利用常规医疗数据的重要挑战。欧洲心脏病学会和 BigData@Heart 联盟汇集了一系列国际利益相关者,包括来自患者、临床医生、科学家、监管机构、期刊编辑和行业成员的代表。在这篇综述中,我们提出了 CODE-EHR 最低标准框架,供研究人员和临床医生用于改进研究设计并提高研究方法的透明度。CODE-EHR 框架旨在为研究目的开发强大而有效的医疗保健数据利用。