PIN-Polo Universitario "Città di Prato", 59100 Prato, Italy.
Management and Health Laboratory, Institute of Management, Sant'Anna School of Advanced Studies of Pisa, 56127 Pisa, Italy.
Sensors (Basel). 2024 Sep 19;24(18):6059. doi: 10.3390/s24186059.
This paper presents a co-designed solution aimed at improving community healthcare assistance management. To enhance patients' self-awareness of their health status, encouraging active participation in care process, and to support nurses in delivering patient-centered care, we have developed an innovative platform with a highly customized app. This platform was designed using a multi-disciplinary, bottom-up approach. Patient data collection and processing facilitate the automation of care timeline planning, based on real-time patients' needs and the available resources. To achieve this goal, different components have been considered: real-time health data collection and processing, patient care planning, decision support for nurses, secure communication for data transmission, and user-friendly interfaces to ensure easy access to platform functionalities.
本文提出了一种联合设计的解决方案,旨在改善社区医疗保健援助管理。为了提高患者对自身健康状况的认识,鼓励他们积极参与护理过程,并支持护士提供以患者为中心的护理,我们开发了一个具有高度定制化应用程序的创新平台。该平台采用多学科、自下而上的方法设计。通过收集和处理患者数据,实现了根据实时患者需求和可用资源自动规划护理时间表。为了实现这一目标,我们考虑了不同的组件:实时健康数据收集和处理、患者护理计划、护士决策支持、安全的数据传输通信以及用户友好的界面,以确保轻松访问平台功能。