The Digital Health in the Pandemic Era
Digital health, virtual assistance, and telemedicine are terms often used interchangeably to refer to remote medical assistance, monitoring and care. Several studies and insights have developed these issues, analyzing the advantages and disadvantages and successes and failures and offering reflectio...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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100 | 1 | |a Giansanti, Daniele |4 edt | |
700 | 1 | |a Giansanti, Daniele |4 oth | |
245 | 1 | 0 | |a The Digital Health in the Pandemic Era |
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520 | |a Digital health, virtual assistance, and telemedicine are terms often used interchangeably to refer to remote medical assistance, monitoring and care. Several studies and insights have developed these issues, analyzing the advantages and disadvantages and successes and failures and offering reflections on the implications and issues of these technologies in the health domain. The results of these investigations are affecting the redesign of hospital and outpatient management based on digital innovation using eHealth and mHealth. During the COVID-19 pandemic, this approach made it possible to offer assistance and continue care at home, protecting patients, preserving health workers, limiting the spread of the virus, and reducing the need for hospitalization. This reprint contains contributions dealing with the development of DH during the COVID-19 pandemic. The contributions are from various experts in different fields regarding the application of digital health, which, in some cases is also integrated with artificial intelligence, including digital contact tracing, mHealth, virtual reality, mental health, physiology, and rehabilitation. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Medicine |2 bicssc | |
650 | 7 | |a Mental health services |2 bicssc | |
653 | |a n/a | ||
653 | |a digital contact tracing | ||
653 | |a IMMUNI app | ||
653 | |a COVID-19 | ||
653 | |a students | ||
653 | |a digital care visit | ||
653 | |a online consultation | ||
653 | |a medical staff | ||
653 | |a healthcare personnel | ||
653 | |a user experience | ||
653 | |a magnetic resonance imaging (MRI) | ||
653 | |a brain tumor | ||
653 | |a machine learning | ||
653 | |a digital health | ||
653 | |a e-health | ||
653 | |a pandemic | ||
653 | |a physical activity | ||
653 | |a performance evaluation | ||
653 | |a eHealth | ||
653 | |a self-care | ||
653 | |a chronic diseases | ||
653 | |a mental health | ||
653 | |a mindfulness | ||
653 | |a mobile health | ||
653 | |a social isolation | ||
653 | |a mental stress | ||
653 | |a feature selection | ||
653 | |a artificial intelligence | ||
653 | |a human health | ||
653 | |a lock down | ||
653 | |a normative activation model | ||
653 | |a COVID-19 prevention | ||
653 | |a prevention intention | ||
653 | |a IoT | ||
653 | |a obesity | ||
653 | |a classification | ||
653 | |a regression | ||
653 | |a real-time system | ||
653 | |a COVID-19 pandemic | ||
653 | |a contact tracing | ||
653 | |a CNN | ||
653 | |a chest X-ray images | ||
653 | |a hybrid learning | ||
653 | |a computer-aided diagnosis | ||
653 | |a remote psychotherapy | ||
653 | |a psychotherapy via telephone | ||
653 | |a psychotherapy via videoconferencing | ||
653 | |a tele-health | ||
653 | |a e-mental-health | ||
653 | |a psychotherapy | ||
653 | |a qualitative psychotherapy research | ||
653 | |a mixed-methods psychotherapy research | ||
653 | |a exergaming | ||
653 | |a breast neoplasms | ||
653 | |a physical function | ||
653 | |a telehealth | ||
653 | |a (d)health literacy | ||
653 | |a health literacy | ||
653 | |a health intervention | ||
653 | |a health strategy | ||
653 | |a medical data | ||
653 | |a medical imaging | ||
653 | |a data classification | ||
653 | |a image detection | ||
653 | |a YOLOv4 | ||
653 | |a logistic regression | ||
653 | |a AI | ||
653 | |a deep learning | ||
653 | |a chatbot | ||
653 | |a health | ||
653 | |a health domain | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7370 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/100902 |7 0 |z DOAB: description of the publication |