Das Subhashis, Hussey Pamela
ADAPT Centre & CeIC, Dublin City University (DCU), D09FW22 Dublin, Ireland.
J Pers Med. 2023 Jun 21;13(7):1024. doi: 10.3390/jpm13071024.
The rapid advancement of digital technologies and recent global pandemic-like scenarios have pressed our society to reform and adapt health and social care toward personalizing the home care setting. This transformation assists in avoiding treatment in crowded secondary health care facilities and improves the experience and impact on both healthcare professionals and service users alike. The interoperability challenge through standards-based roadmaps is the lynchpin toward enabling the efficient interconnection between health and social care services. Hence, facilitating safe and trustworthy data workflow from one healthcare system to another is a crucial aspect of the communication process. In this paper, we showcase a methodology as to how we can extract, transform and load data in a semi-automated process using a common semantic standardized data model (CSSDM) to generate a personalized healthcare knowledge graph (KG). CSSDM is based on a formal ontology of ISO 13940:2015 ContSys for conceptual grounding and FHIR-based specification to accommodate structural attributes to generate KG. The goal of CSSDM is to offer an alternative pathway to discuss interoperability by supporting a unique collaboration between a company creating a health information system and a cloud-enabled health service. The resulting pathway of communication provides access to multiple stakeholders for sharing high-quality data and information.
数字技术的快速发展以及近期类似全球大流行的情况促使我们的社会进行改革,并使健康和社会护理朝着个性化家庭护理环境的方向发展。这种转变有助于避免在拥挤的二级医疗保健设施中进行治疗,并改善对医疗保健专业人员和服务使用者的体验及影响。通过基于标准的路线图解决互操作性挑战是实现健康和社会护理服务高效互连的关键。因此,促进从一个医疗系统到另一个医疗系统的安全且可信的数据工作流程是通信过程的一个关键方面。在本文中,我们展示了一种方法,即如何使用通用语义标准化数据模型(CSSDM)以半自动过程提取、转换和加载数据,以生成个性化医疗知识图谱(KG)。CSSDM基于ISO 13940:2015 ContSys的形式本体进行概念基础构建,并基于FHIR规范以适应结构属性来生成KG。CSSDM的目标是通过支持创建健康信息系统的公司与基于云的健康服务之间的独特协作,提供一条讨论互操作性的替代途径。由此产生的通信途径为多个利益相关者提供了共享高质量数据和信息的机会。