Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
UMIT, Private University for Health Sciences, Medical Informatics and Technology, Institute of Medical Informatics, Hall in Tirol, Austria.
Yearb Med Inform. 2021 Aug;30(1):56-60. doi: 10.1055/s-0041-1726490. Epub 2021 Apr 21.
OBJECTIVES: To highlight the role of technology assessment in the management of the COVID-19 pandemic. METHOD: An overview of existing research and evaluation approaches along with expert perspectives drawn from the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development in Health Informatics and the European Federation for Medical Informatics (EFMI) Working Group for Assessment of Health Information Systems. RESULTS: Evaluation of digital health technologies for COVID-19 should be based on their technical maturity as well as the scale of implementation. For mature technologies like telehealth whose efficacy has been previously demonstrated, pragmatic, rapid evaluation using the complex systems paradigm which accounts for multiple sociotechnical factors, might be more suitable to examine their effectiveness and emerging safety concerns in new settings. New technologies, particularly those intended for use on a large scale such as digital contract tracing, will require assessment of their usability as well as performance prior to deployment, after which evaluation should shift to using a complex systems paradigm to examine the value of information provided. The success of a digital health technology is dependent on the value of information it provides relative to the sociotechnical context of the setting where it is implemented. CONCLUSION: Commitment to evaluation using the evidence-based medicine and complex systems paradigms will be critical to ensuring safe and effective use of digital health technologies for COVID-19 and future pandemics. There is an inherent tension between evaluation and the imperative to urgently deploy solutions that needs to be negotiated.
目的:强调技术评估在 COVID-19 大流行管理中的作用。 方法:综述了现有研究和评估方法,以及国际医学信息学协会(IMIA)技术评估和卫生信息学质量发展工作组以及欧洲医学信息学联合会(EFMI)健康信息系统评估工作组的专家观点。 结果:应根据数字健康技术的技术成熟度以及实施规模来评估 COVID-19 数字健康技术。对于像远程医疗这样的成熟技术,其功效已经得到了先前的证明,使用复杂系统范式进行实用、快速的评估,考虑到多种社会技术因素,可能更适合检查其在新环境中的有效性和新出现的安全问题。新技术,特别是那些打算大规模使用的技术,如数字合同追踪,需要在部署前评估其可用性和性能,之后应转向使用复杂系统范式来检查所提供信息的价值。数字健康技术的成功取决于它提供的信息相对于其实施环境的社会技术背景的价值。 结论:承诺使用循证医学和复杂系统范式进行评估,对于确保 COVID-19 和未来大流行期间数字健康技术的安全有效使用至关重要。评估和紧急部署解决方案之间存在内在的紧张关系,需要进行协商。
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