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Stroke and digital technology: a wake-up call from COVID-19 pandemic.

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Title: Stroke and digital technology: a wake-up call from COVID-19 pandemic.
Authors: Iodice, Francesco (AUTHOR), Romoli, Michele (AUTHOR), Giometto, Bruno (AUTHOR), Clerico, Marinella (AUTHOR), Tedeschi, Gioacchino (AUTHOR), Bonavita, Simona (AUTHOR), Leocani, Letizia (AUTHOR), Lavorgna, Luigi (AUTHOR)
Source: Neurological Sciences. 2021, Vol. 42 Issue 3, p805-809. 5p.
Subjects: COVID-19 pandemic, Digital technology, Stroke, Social sciences education, SARS-CoV-2
Abstract: Introduction: The pandemic has implemented the need for new digital technologies as useful tools during the emergency and the long recovery phase that will follow. SARS-CoV-2 has strongly impacted stroke care with significant contraction in a number of patients treated. Methods: This mini-review is an initiative of the "Digital Technologies, Web and Social Media Study Group" of the Italian Society of Neurology and briefly discusses digital tools for managing the acute phase and the rehabilitation after stroke, even considering the new apps that will improve the process of remote monitoring of patients after discharge at home. Results: Telemedicine and digital technologies could play a role in each of the three stroke-belt stages: hyperacute treatment and reperfusion, acute care, etiological classification and secondary prevention and rehabilitation. Conclusion: The global emergency represented by the COVID-19 pandemic can be the stimulus to accelerate the digitalization process in the field of stroke for the use of new methods on a large scale. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Stroke and digital technology: a wake-up call from COVID-19 pandemic.
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  Data: <searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Stroke%22">Stroke</searchLink><br /><searchLink fieldCode="DE" term="%22Social+sciences+education%22">Social sciences education</searchLink><br /><searchLink fieldCode="DE" term="%22SARS-CoV-2%22">SARS-CoV-2</searchLink>
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  Data: Introduction: The pandemic has implemented the need for new digital technologies as useful tools during the emergency and the long recovery phase that will follow. SARS-CoV-2 has strongly impacted stroke care with significant contraction in a number of patients treated. Methods: This mini-review is an initiative of the "Digital Technologies, Web and Social Media Study Group" of the Italian Society of Neurology and briefly discusses digital tools for managing the acute phase and the rehabilitation after stroke, even considering the new apps that will improve the process of remote monitoring of patients after discharge at home. Results: Telemedicine and digital technologies could play a role in each of the three stroke-belt stages: hyperacute treatment and reperfusion, acute care, etiological classification and secondary prevention and rehabilitation. Conclusion: The global emergency represented by the COVID-19 pandemic can be the stimulus to accelerate the digitalization process in the field of stroke for the use of new methods on a large scale. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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