Poleto Thiago, Carvalho Victor Diogho Heuer de, Silva Ayara Letícia Bentes da, Clemente Thárcylla Rebecca Negreiros, Silva Maísa Mendonça, Gusmão Ana Paula Henriques de, Costa Ana Paula Cabral Seixas, Nepomuceno Thyago Celso Cavalcante
Departamento de Administração, Universidade Federal do Pará, Belém 66075-110, Brazil.
Campus do Sertão, Universidade Federal de Alagoas, Delmiro Gouveia 57480-000, Brazil.
Healthcare (Basel). 2021 Nov 5;9(11):1504. doi: 10.3390/healthcare9111504.
Hospital organizations have adopted telehealth systems to expand their services to a portion of the Brazilian population with limited access to healthcare, mainly due to the geographical distance between their communities and hospitals. The importance and usage of those services have recently increased due to the COVID-19 state-level mobility interventions. These services work with sensitive and confidential data that contain medical records, medication prescriptions, and results of diagnostic processes. Understanding how cybersecurity impacts the development of telehealth strategies is crucial for creating secure systems for daily operations. In the application reported in this article, the Fuzzy Cognitive Maps (FCMs) translated the complexity of cybersecurity in telehealth services into intelligible and objective results in an expert-based cognitive map. The tool also allowed the construction of scenarios simulating the possible implications caused by common factors that affect telehealth systems. FCMs provide a better understanding of cybersecurity strategies using expert knowledge and scenario analysis, enabling the maturation of cybersecurity in telehealth services.
医院组织采用了远程医疗系统，将其服务扩展到巴西部分难以获得医疗保健的人群，这主要是由于这些人群所在社区与医院之间的地理距离。由于新冠疫情期间州一级的出行限制措施，这些服务的重要性和使用率最近有所增加。这些服务处理包含医疗记录、药物处方和诊断过程结果等敏感和机密数据。了解网络安全如何影响远程医疗战略的发展对于创建日常运营的安全系统至关重要。在本文报道的应用中，模糊认知图（FCM）将远程医疗服务中网络安全的复杂性转化为基于专家的认知图中可理解且客观的结果。该工具还允许构建模拟影响远程医疗系统的常见因素所造成的可能影响的场景。FCM利用专家知识和场景分析，能更好地理解网络安全策略，从而推动远程医疗服务中网络安全的成熟。
