Reducing Treatment Burden Among People With Chronic Conditions Using Machine Learning: Viewpoint
نویسندگان
چکیده
The COVID-19 pandemic has illuminated multiple challenges within the health care system and is unique to those living with chronic conditions. Recent advances in digital technologies (eHealth) present opportunities improve quality of care, self-management, decision-making support reduce treatment burden risk condition management burnout. There are limited available eHealth models that can adequately describe how this be carried out. In paper, we define related affective burnout; assess an enhanced Chronic Care Model help prioritize solutions; emerging machine learning model as one example aimed alleviate burnout risk. We propose eHealth-driven a disruptive change optimally persons
منابع مشابه
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ژورنال
عنوان ژورنال: JMIR biomedical engineering
سال: 2022
ISSN: ['2561-3278']
DOI: https://doi.org/10.2196/29499