Lee Bih-O
PhD, RN, Professor, School of Nursing, Kaohsiung Medical University; Affiliate Professor, School of Nursing, University of Minnesota, USA; Adjunct Professor, Faculty of Nursing, Universitas Airlangga, Surabaya, Indonesia.
Hu Li Za Zhi. 2022 Apr;69(2):4-6. doi: 10.6224/JN.202204_69(2).01.
Individualizing healthcare and treatment is a core value of the healthcare sector because of the professional importance of accurately diagnosing, treating, and caring for people who are ill (Ho et al., 2020). Although clinicians may have been working to personalize care to the individual health needs of their patients throughout the history of medicine, predicting how specific individuals will respond to specific treatments or healthcare interventions has long been a goal impossible to achieve. Precision health, a broad concept that includes precision medicine, is a term that refers to personalized healthcare based on a person's unique genetic composition as well as related lifestyle, social, economic, cultural and environmental influences that is designed to help individuals achieve well-being and optimal health (Fu et al., 2019). The term "personal medicine" is frequently used in the healthcare sector to describe a population-based approach. However, this approach is less-individualized than precision medicine. Several rising trends in healthcare are providing doctors and nurses with the tools necessary to better access and manage the vast amounts of data needed to provide individualized care in a manner that both improves outcomes and lowers costs. By focusing on health and wellness, nurses can have a meaningful impact on reducing healthcare cost. One way to support the development of precision health initiatives within the nursing context is to develop interventions that match patients' complex phenomena. Tailoring intervention is an intervention method that selects and applies strategies to treat each patient based on her / his specific characteristics (Salmond & Echevarria, 2017). Furthermore, continuous-tuning interventions are one class of tailoring that adjusts and tunes interventions to the changing needs of individuals based on their data (Hekler et al., 2020). Precision health links health-related research and practice as well as medicine, population health, and public health. Nursing roles are important in the implementation of precision health. They provide precision delivery of medications based on knowledge of pharmacogenetics, patient and family education related to the meaning of genomics, health and family assessments, and critical feedback and insights on the feasibility of implementing new technologies into clinical point-of-care or community workflows. Therefore, the domain knowledge of precision health is critical to clinical practice. In line with the rapid pace of development in digital health technologies, the role of medical informatics in advancing personalized healthcare and precision healthcare has been increasingly emphasized (Hussein, 2020). As medical care and healthcare have entered the information era, digital health technologies provide significant opportunities to optimize clinical care. Using digital health technology should provide opportunities to better generate evidence and provide evidence-based medical care and healthcare. To share more information related to clinical trends in precision health and digital care, we have invited expert groups to share their related expertise and experiences. We do hope nurse professionals and healthcare providers are inspired by this topic and the articles in this issue of the journal.
由于准确诊断、治疗和护理患者在专业上的重要性,个性化医疗保健和治疗是医疗保健行业的核心价值(Ho等人,2020年)。尽管临床医生在医学史上可能一直在努力根据患者的个体健康需求提供个性化护理,但预测特定个体对特定治疗或医疗保健干预措施的反应长期以来一直是一个无法实现的目标。精准健康是一个广泛的概念,包括精准医学,它指的是基于个人独特的基因构成以及相关的生活方式、社会、经济、文化和环境影响的个性化医疗保健,旨在帮助个人实现幸福和最佳健康状态(Fu等人,2019年)。“个人医学”一词在医疗保健行业中经常被用来描述一种基于人群的方法。然而,这种方法的个性化程度不如精准医学。医疗保健领域的几个新兴趋势正在为医生和护士提供必要的工具,以便更好地获取和管理大量数据,从而以既能改善治疗效果又能降低成本的方式提供个性化护理。通过关注健康和保健,护士可以对降低医疗成本产生有意义的影响。在护理背景下支持精准健康倡议发展的一种方法是开发与患者复杂现象相匹配的干预措施。量身定制干预是一种干预方法,它根据每个患者的特定特征选择并应用策略来治疗患者(Salmond & Echevarria,2017年)。此外,持续调整干预是一类量身定制,它根据个体的数据根据其不断变化的需求调整和优化干预措施(Hekler等人,2020年)。精准健康将与健康相关的研究和实践以及医学、人群健康和公共卫生联系起来。护士的角色在精准健康的实施中很重要。他们基于药物遗传学知识精准给药,提供与基因组学意义、健康和家庭评估相关的患者及家属教育,以及关于将新技术应用于临床护理点或社区工作流程的可行性的关键反馈和见解。因此,精准健康的领域知识对临床实践至关重要。随着数字健康技术的快速发展,医学信息学在推进个性化医疗保健和精准医疗保健方面的作用越来越受到重视(Hussein,2020年)。随着医疗保健进入信息时代,数字健康技术为优化临床护理提供了重要机遇。使用数字健康技术应该为更好地生成证据以及提供循证医疗保健提供机会。为了分享更多与精准健康和数字护理临床趋势相关的信息,我们邀请了专家小组分享他们的相关专业知识和经验。我们真心希望护士专业人员和医疗保健提供者能受到本主题以及本期杂志文章的启发。