Digital innovation in Multiple Sclerosis Management

Due to innovation in technology, a new type of patient has been created, the e-patient, characterized by the use of electronic communication tools and commitment to participate in their own care. The extent to which the world of digital health has changed during the COVID-19 pandemic has been widely...

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Bibliographic Details
Other Authors: Ziemssen, Tjalf (Editor), Haase, Rocco (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
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DOAB: description of the publication
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245 1 0 |a Digital innovation in Multiple Sclerosis Management 
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520 |a Due to innovation in technology, a new type of patient has been created, the e-patient, characterized by the use of electronic communication tools and commitment to participate in their own care. The extent to which the world of digital health has changed during the COVID-19 pandemic has been widely recognized. Remote medicine has become part of the new normal for patients and clinicians, introducing innovative care delivery models that are likely to endure even if the pendulum swings back to some degree in a post-COVID age. The development of digital applications and remote communication technologies for patients with multiple sclerosis has increased rapidly in recent years. For patients, eHealth apps have been shown to improve outcomes and increase access to care, disease information, and support. For HCPs, eHealth technology may facilitate the assessment of clinical disability, analysis of lab and imaging data, and remote monitoring of patient symptoms, adverse events, and outcomes. It may allow time optimization and more timely intervention than is possible with scheduled face-to-face visits. The way we measure the impact of MS on daily life has remained relatively unchanged for decades, and is heavily reliant on clinic visits that may only occur once or twice each year.These benefits are important because multiple sclerosis requires ongoing monitoring, assessment, and management.The aim of this Special Issue is to cover the state of knowledge and expertise in the field of eHealth technology applied to multiple sclerosis, from clinical evaluation to patient education. 
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650 7 |a Medicine  |2 bicssc 
653 |a multiple sclerosis 
653 |a digital health 
653 |a eHealth 
653 |a intervention 
653 |a patient management 
653 |a chronic disease 
653 |a disease management 
653 |a Patient Reported Outcomes 
653 |a e-health 
653 |a app 
653 |a communication 
653 |a digital tools 
653 |a patient empowerment 
653 |a health information seeking 
653 |a user-centered design 
653 |a patient portal 
653 |a master's program 
653 |a education 
653 |a multiple sclerosis management 
653 |a Dresden International University 
653 |a digitization 
653 |a icompanion 
653 |a icobrain 
653 |a digital health technology 
653 |a mobile application 
653 |a patient reported outcomes 
653 |a magnetic resonance imaging 
653 |a mHealth 
653 |a telemonitoring 
653 |a longitudinal assessment 
653 |a rehabilitation 
653 |a fatigue 
653 |a walking 
653 |a cognition 
653 |a software as a medical device 
653 |a participatory health 
653 |a monitoring 
653 |a smartphone-based assessments 
653 |a clinical validation 
653 |a technical validation 
653 |a MS apps 
653 |a digital health solution development 
653 |a digital biomarkers 
653 |a AI 
653 |a (early) Health Technology Assessment 
653 |a home monitoring 
653 |a MS disease activity 
653 |a MS disease progression 
653 |a early detection 
653 |a disease modelling 
653 |a digital therapeutics 
653 |a gait analysis 
653 |a mobility 
653 |a digital tools and applications 
653 |a precision medicine 
653 |a personalized therapy 
653 |a big data 
653 |a digital twin 
653 |a relapsing-remitting multiple sclerosis (RRMS) 
653 |a magnetic resonance imaging (MRI) 
653 |a brain MRI analysis software 
653 |a non-evidence of disease activity (NEDA) 
653 |a Markov model 
653 |a n/a 
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