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通过意识参与:目的驱动的框架开发,用于评估和制定未来的商业战略,利用指数技术实现医疗保健民主化。

Engaging Through Awareness: Purpose-Driven Framework Development to Evaluate and Develop Future Business Strategies With Exponential Technologies Toward Healthcare Democratization.

机构信息

ESF-GS ABINEP International Graduate School, Otto-von-Guericke-University, Magdeburg, Germany.

Innovation Think Tank, Siemens Healthineers, Erlangen, Germany.

出版信息

Front Public Health. 2022 May 25;10:851380. doi: 10.3389/fpubh.2022.851380. eCollection 2022.


DOI:10.3389/fpubh.2022.851380
PMID:35692334
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9174566/
Abstract

Industry 4.0 and digital transformation will likely come with an era of changes for most manufacturers and tech industries, and even healthcare delivery will likely be affected. A few trends are already foreseeable such as an increased number of patients, advanced technologies, different health-related business models, increased costs, revised ethics, and regulatory procedures. Moreover, cybersecurity, digital invoices, price transparency, improving patient experience, management of big data, and the need for a revised education are challenges in response to digital transformation. Indeed, forward-looking innovation about exponential technologies and their effect on healthcare is now gaining momentum. Thus, we developed a framework, followed by an online survey, to investigate key areas, analyze and visualize future-oriented developments concerning technologies and innovative business models while attempting to translate visions into a strategy toward healthcare democratization. When forecasting the future of health in a short and long-term perspective, results showed that digital healthcare, data management, electronics, and sensors were the most common predictions, followed by artificial intelligence in clinical diagnostic and in which hospitals and homes would be the places of primary care. Shifting from a reactive to a proactive digital ecosystem, the focus on prevention, quality, and faster care accessibility are the novel value propositions toward democratization and digitalization of patient-centered services. Longevity will translate into increased neurodegenerative, chronic diseases, and mental illnesses, becoming severe issues for a future healthcare setup. Besides, data privacy, big data management, and novel regulatory procedures were considered as potential problems resulting from digital transformation. However, a revised education is needed to address these issues while preparing future health professionals. The "P4 of health", a novel business model that is outcome-based oriented, awareness and acceptance of technologies to support public health, a different mindset that is proactive and future-oriented, and an interdisciplinary setting to merge clinical and technological advances would be key to a novel healthcare ecosystem. Lastly, based on the developed framework, we aim to conduct regular surveys to capture up-to-date technological trends, sustainable health-related business models, and interdependencies. The engagement of stakeholders through awareness and participation is the key to recognizing and improving healthcare needs and services.

摘要

工业 4.0 和数字化转型可能会给大多数制造商和科技行业带来变革时代,甚至医疗保健服务也可能受到影响。一些趋势已经可以预见,例如患者数量增加、先进技术、不同的与健康相关的商业模式、成本增加、修订的道德和监管程序。此外,网络安全、数字发票、价格透明度、提高患者体验、大数据管理以及修订教育的需求是应对数字化转型的挑战。事实上,关于指数技术及其对医疗保健影响的前瞻性创新现在正在兴起。因此,我们开发了一个框架,然后进行了在线调查,以调查关键领域,分析和可视化未来面向技术和创新商业模式的发展,同时试图将愿景转化为医疗民主化战略。在从短期和长期预测未来的健康状况时,结果表明,数字医疗保健、数据管理、电子和传感器是最常见的预测,其次是人工智能在临床诊断中的应用,以及医院和家庭将成为初级保健的场所。从被动的数字生态系统向主动的数字生态系统转变,重点是预防、质量和更快的医疗可及性,这是向以患者为中心的服务民主化和数字化转变的新价值主张。长寿将转化为更多的神经退行性疾病、慢性疾病和精神疾病,成为未来医疗体系的严重问题。此外,数据隐私、大数据管理和新的监管程序被认为是数字化转型带来的潜在问题。然而,需要进行修订教育,以解决这些问题,同时为未来的卫生专业人员做好准备。基于结果导向的新型商业模式“健康 P4”、对支持公共卫生的技术的认识和接受、积极主动和面向未来的新思维模式以及合并临床和技术进步的跨学科环境将是新型医疗保健生态系统的关键。最后,基于开发的框架,我们旨在定期进行调查,以捕捉最新的技术趋势、可持续的健康相关商业模式和相互依存关系。通过提高认识和参与来让利益相关者参与,是识别和改善医疗保健需求和服务的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/77d5ca76aa67/fpubh-10-851380-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/9a4aa6b888cf/fpubh-10-851380-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/8e4b730ee9d4/fpubh-10-851380-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/b99adbc910a6/fpubh-10-851380-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/43c3a0647884/fpubh-10-851380-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/77d5ca76aa67/fpubh-10-851380-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/9a4aa6b888cf/fpubh-10-851380-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/8e4b730ee9d4/fpubh-10-851380-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/b99adbc910a6/fpubh-10-851380-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/43c3a0647884/fpubh-10-851380-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b6/9174566/77d5ca76aa67/fpubh-10-851380-g0005.jpg

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