随着数字医疗的采用,将患者概念化为一个组织。

IF 2.3 Q3 ENGINEERING, BIOMEDICAL
Biomedical Engineering and Computational Biology Pub Date : 2024-09-24 eCollection Date: 2024-01-01 DOI:10.1177/11795972241277292
Atantra Das Gupta
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引用次数: 0

摘要

在数字医疗的背景下,将患者视为一个组织,是一个创新且不断发展的概念。传统意义上的医患关系一直以患者个人及其与医疗服务提供者的互动为中心。然而,随着技术和数字医疗解决方案的出现,这种关系的动态正在发生变化。数字医疗保健平台和技术使患者能够更多地控制和积极参与管理自己的健康和医疗保健过程。这种转变使患者有能力扮演更加积极主动的角色,就像一个组织如何与不同的利益相关者、目标和战略一起运作一样。手机和可穿戴设备的普及被认为是影响人们接受数字医疗的一个重要因素:本研究旨在利用 TAM(技术接受模型)、HB(健康信念模型)和 UTAUT(技术接受和使用统一理论)确定影响采用意向的因素。其论点是,采用该技术能使患者创造资源(即数据),使患者从单纯的消费者转变为生产者:PLS分析表明,健康信念和感知易用性对感知数字医疗有用性有积极影响,系统能力对感知易用性有积极影响。感知的有用性、客户的改变意愿和参照群体的影响是影响普通人群采用意愿的决定性变量,而隐私保护和数据安全则是不确定的变量。在线资源和用户指南并不支持采用意愿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conceptualizing Patient as an Organization With the Adoption of Digital Health.

The concept of viewing a patient as an organization within the context of digital healthcare is an innovative and evolving concept. Traditionally, the patient-doctor relationship has been centered around the individual patient and their interactions with healthcare providers. However, with the advent of technology and digital healthcare solutions, the dynamics of this relationship are changing. Digital healthcare platforms and technologies enable patients to have more control and active participation in managing their health and healthcare processes. This shift empowers patients to take on a more proactive role, similar to how an organization functions with various stakeholders, goals, and strategies. The prevalence of mobile phones and wearables is regarded as an important factor in the acceptance of digital health.

Objective: This study aimed to identify the factors affecting adoption intention using the TAM (Technology Acceptance Model), HB (Health Belief model), and the UTAUT (Unified Theory of Acceptance and Use of Technology). The argument is made that the adoption of the technology enables patients to create resources (ie, data), transforming patients from mere consumers to producers as well.

Results: PLS analysis showed that health beliefs and perceived ease of use had positive effects on the perceived usefulness of digital healthcare, and system capabilities positively impacted perceived ease of use. Furthermore, perceived service, the customer's willingness to change and reference group influence significantly impacted adoption intention (b > 0.1, t > 1.96, P < .05). However, privacy protection and data security, online healthcare resources, and user guidance were not positively associated with perceived usefulness.

Conclusions: Perceived usefulness, the customer's willingness to change, and the influence of the reference group are decisive variables affecting adoption intention among the general population, whereas privacy protection and data security are indecisive variables. Online resources and user guides do not support adoption intentions.

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