数字持续护理:基于人工智能的医疗保健的未来

L. Eisen
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引用次数: 3

摘要

*通讯地址:Dr. Leon Eisen, 20, Church Street, Mezzanine, Hartford, CT 06103, USA。电子邮件:leon.eisen@oxitone.com和云。所有这些仪器的共同点是,它们通常是为零星的测量而不是连续监测而设计的,并且通常在患者已经感到不适时从货架上取下。从偶发的、手工的、碎片化的护理向持续的、自动化的、长时间的监测转变,可以通过解决以下三个关键的卫生保健目标,对慢性疾病患者的生活质量和福祉产生影响:改善患者的生活质量提高护理质量降低成本和风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital continuous care: Future of artificial intelligence-based healthcare
49 *Address for correspondence: Dr. Leon Eisen, 20, Church Street, Mezzanine, Hartford, CT 06103, USA. E‐mail: leon.eisen@oxitone.com and clouds. The common denominator for all these instruments is that they are generally designed for sporadic measurements rather than continuous monitoring and are usually taken from the shelf when patient already feels bad. Transformation from episodic, manual, and fragmented care toward continuous, automated, and prolonged monitoring can have an impact on the quality of life and well-being of the chronic disease patient by addressing three key health-care objectives: 1. Improved patient quality of life 2. Improved quality of care 3. Reduced cost and risk.
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