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健康社区 4.0：一种创新的多学科解决方案，用于定制化医疗保健辅助管理。

Health Community 4.0: An Innovative Multidisciplinary Solution for Tailored Healthcare Assistance Management.

机构信息

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.

出版信息

Sensors (Basel). 2024 Sep 19;24(18):6059. doi: 10.3390/s24186059.

DOI:10.3390/s24186059
PMID:39338804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11435923/
Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/6058dc10bb02/sensors-24-06059-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/0d238c078496/sensors-24-06059-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/e5a7e5cbd098/sensors-24-06059-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/a951de951172/sensors-24-06059-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/bb9129e4fe10/sensors-24-06059-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/6cf59dd62b32/sensors-24-06059-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/795d9c850a49/sensors-24-06059-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/5945ead79c7a/sensors-24-06059-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/945559252e3f/sensors-24-06059-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/6058dc10bb02/sensors-24-06059-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/0d238c078496/sensors-24-06059-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/e5a7e5cbd098/sensors-24-06059-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/a951de951172/sensors-24-06059-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/bb9129e4fe10/sensors-24-06059-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/6cf59dd62b32/sensors-24-06059-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/795d9c850a49/sensors-24-06059-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/5945ead79c7a/sensors-24-06059-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/945559252e3f/sensors-24-06059-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b0a/11435923/6058dc10bb02/sensors-24-06059-g009.jpg

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Revolutionizing healthcare: the role of artificial intelligence in clinical practice.人工智能在临床实践中的应用：医疗保健的革命。
BMC Med Educ. 2023 Sep 22;23(1):689. doi: 10.1186/s12909-023-04698-z.
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Unraveling a blockchain-based framework towards patient empowerment: A scoping review envisioning future smart health technologies.
解析基于区块链的患者赋权框架：一项展望未来智能健康技术的范围综述。
Smart Health (Amst). 2023 Sep;29:100401. doi: 10.1016/j.smhl.2023.100401. Epub 2023 Apr 14.
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Evaluating IoT-Based Services to Support Patient Empowerment in Digital Home Hospitalization Services.评估基于物联网的服务，以支持数字居家住院服务中的患者赋权。
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Integrating Top-down and Bottom-up Requirements in eHealth Development: The Case of a Mobile Self-compassion Intervention for People With Newly Diagnosed Cancer.整合电子健康发展中自上而下和自下而上的需求：以针对新诊断癌症患者的移动自我同情干预为例。
JMIR Cancer. 2022 Aug 1;8(3):e37502. doi: 10.2196/37502.
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