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Digital technology in respiratory diseases

机译:呼吸系统疾病的数字技术

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摘要

In a world where digital technology has revolutionized the way we work, shop and manage our finances it is unsurprising that digital systems are suggested as potential solutions to delivering clinically and cost-effective care for an aging population with one or more long-term conditions. However, recent evidence suggesting that telehealth may not be quite the panacea that was promised, has led to discussions on the mechanisms and role of digital technology in respiratory care. Implementation in rural and remote settings offers significant benefits in terms of convenient access to care, but is contingent on technical and organizational infrastructure. Telemonitoring systems rely on algorithms to detect deterioration and trigger alerts; machine learning may enable telemonitoring of the future to develop personalized systems that are sensitive to clinical status whilst reducing false alerts. By providing access to information, offering convenient and flexible modes of communication and enabling the transfer of monitoring data to support professional assessment, telehealth can support self-management. At present, all too often, expensive ‘off the shelf’ systems are purchased and given to clinicians to use. It is time for the paradigm to shift. As clinicians we should identify the specific challenges we face in delivering care, and expect flexible systems that can be customized to individual patients’ requirements and adapted to our diverse healthcare contexts.
机译:在数字技术彻底改变了我们的工作,购物和财务管理方式的世界中,毫不奇怪的是,建议将数字系统作为为具有一个或多个长期疾病的老龄人口提供临床和具有成本效益的护理的潜在解决方案。但是,最近的证据表明远程医疗可能不是许诺的灵丹妙药,因此引发了关于数字技术在呼吸护理中的机制和作用的讨论。在农村和偏远地区的实施在便利获得护理方面具有显着的优势,但要视技术和组织基础结构而定。远程监控系统依靠算法来检测恶化情况并触发警报。机器学习可以使未来的远程监控能够开发对临床状态敏感的个性化系统,同时减少错误警报。通过提供信息访问,提供便捷灵活的通信模式并实现监视数据的传输以支持专业评估,远程医疗可以支持自我管理。目前,通常会购买昂贵的“现成”系统并交给临床医生使用。现在该转变范式了。作为临床医生,我们应该确定我们在提供护理方面面临的具体挑战,并期望可以根据个别患者的需求量身定制并适应我们多样化的医疗环境的灵活系统。

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