Institute of Clinical Physiology, National Research Council, 73100 Lecce, Italy.
Department of Biological and Environmental Sciences and Technology, University of Salento, 73100 Lecce, Italy.
Int J Environ Res Public Health. 2022 Jan 28;19(3):1510. doi: 10.3390/ijerph19031510.
The application of in silico medicine is constantly growing in the prevention, diagnosis, and treatment of diseases. These technologies allow us to support medical decisions and self-management and reduce, refine, and partially replace real studies of medical technologies. In silico medicine may challenge some key principles: transparency and fairness of data usage; data privacy and protection across platforms and systems; data availability and quality; data integration and interoperability; intellectual property; data sharing; equal accessibility for persons and populations. Several social, ethical, and legal issues may consequently arise from its adoption. In this work, we provide an overview of these issues along with some practical suggestions for their assessment from a health technology assessment perspective. We performed a narrative review with a search on MEDLINE/Pubmed, ISI Web of Knowledge, Scopus, and Google Scholar. The following key aspects emerge as general reflections with an impact on the operational level: cultural resistance, level of expertise of users, degree of patient involvement, infrastructural requirements, risks for health, respect of several patients' rights, potential discriminations for access and use of the technology, and intellectual property of innovations. Our analysis shows that several challenges still need to be debated to allow in silico medicine to express all its potential in healthcare processes.
计算医学的应用在疾病的预防、诊断和治疗中不断发展。这些技术使我们能够支持医疗决策和自我管理,并减少、改进和部分替代对医疗技术的实际研究。计算医学可能会挑战一些关键原则:数据使用的透明度和公平性;跨平台和系统的数据隐私和保护;数据可用性和质量;数据集成和互操作性;知识产权;数据共享;个人和人群的平等可及性。因此,其采用可能会引发一些社会、伦理和法律问题。在这项工作中,我们从健康技术评估的角度概述了这些问题,并提供了一些关于评估这些问题的实用建议。我们进行了一次叙述性综述,在 MEDLINE/Pubmed、ISI Web of Knowledge、Scopus 和 Google Scholar 上进行了检索。以下是对操作层面有影响的一般反思的关键方面:文化阻力、用户的专业水平、患者参与程度、基础设施要求、健康风险、尊重多项患者权利、对技术的获取和使用的潜在歧视,以及创新的知识产权。我们的分析表明,为了使计算医学能够在医疗保健过程中充分发挥其潜力,仍需要对几个挑战进行辩论。