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...
में बचाया:
| स्वरूप: | Online |
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| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| विषय: | |
| ऑनलाइन पहुंच: | ONIX_20220224_9783036528885_69 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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| _version_ | 1869528719771566080 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-78771 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-787712024-03-31T13:10:01Z Digital innovation in Multiple Sclerosis Management Ziemssen, Tjalf Haase, Rocco multiple sclerosis digital health eHealth intervention patient management chronic disease disease management Patient Reported Outcomes e-health app communication digital tools patient empowerment health information seeking user-centered design patient portal master’s program education multiple sclerosis management Dresden International University digitization icompanion icobrain digital health technology mobile application patient reported outcomes magnetic resonance imaging mHealth telemonitoring longitudinal assessment rehabilitation fatigue walking cognition software as a medical device participatory health monitoring smartphone-based assessments clinical validation technical validation MS apps digital health solution development digital biomarkers AI (early) Health Technology Assessment home monitoring MS disease activity MS disease progression early detection disease modelling digital therapeutics gait analysis mobility digital tools and applications precision medicine personalized therapy big data digital twin relapsing-remitting multiple sclerosis (RRMS) magnetic resonance imaging (MRI) brain MRI analysis software non-evidence of disease activity (NEDA) Markov model n/a thema EDItEUR::M Medicine and Nursing 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. 2022-02-24T10:35:56Z 2022-02-24T10:35:56Z 2022 book ONIX_20220224_9783036528885_69 9783036528885 9783036528892 https://directory.doabooks.org/handle/20.500.12854/78771 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4864 https://mdpi.com/books/pdfview/book/4864 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2888-5 10.3390/books978-3-0365-2888-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036528885 9783036528892 195 Basel open access |
| spellingShingle | multiple sclerosis digital health eHealth intervention patient management chronic disease disease management Patient Reported Outcomes e-health app communication digital tools patient empowerment health information seeking user-centered design patient portal master’s program education multiple sclerosis management Dresden International University digitization icompanion icobrain digital health technology mobile application patient reported outcomes magnetic resonance imaging mHealth telemonitoring longitudinal assessment rehabilitation fatigue walking cognition software as a medical device participatory health monitoring smartphone-based assessments clinical validation technical validation MS apps digital health solution development digital biomarkers AI (early) Health Technology Assessment home monitoring MS disease activity MS disease progression early detection disease modelling digital therapeutics gait analysis mobility digital tools and applications precision medicine personalized therapy big data digital twin relapsing-remitting multiple sclerosis (RRMS) magnetic resonance imaging (MRI) brain MRI analysis software non-evidence of disease activity (NEDA) Markov model n/a thema EDItEUR::M Medicine and Nursing Digital innovation in Multiple Sclerosis Management |
| title | Digital innovation in Multiple Sclerosis Management |
| title_full | Digital innovation in Multiple Sclerosis Management |
| title_fullStr | Digital innovation in Multiple Sclerosis Management |
| title_full_unstemmed | Digital innovation in Multiple Sclerosis Management |
| title_short | Digital innovation in Multiple Sclerosis Management |
| title_sort | digital innovation in multiple sclerosis management |
| topic | multiple sclerosis digital health eHealth intervention patient management chronic disease disease management Patient Reported Outcomes e-health app communication digital tools patient empowerment health information seeking user-centered design patient portal master’s program education multiple sclerosis management Dresden International University digitization icompanion icobrain digital health technology mobile application patient reported outcomes magnetic resonance imaging mHealth telemonitoring longitudinal assessment rehabilitation fatigue walking cognition software as a medical device participatory health monitoring smartphone-based assessments clinical validation technical validation MS apps digital health solution development digital biomarkers AI (early) Health Technology Assessment home monitoring MS disease activity MS disease progression early detection disease modelling digital therapeutics gait analysis mobility digital tools and applications precision medicine personalized therapy big data digital twin relapsing-remitting multiple sclerosis (RRMS) magnetic resonance imaging (MRI) brain MRI analysis software non-evidence of disease activity (NEDA) Markov model n/a thema EDItEUR::M Medicine and Nursing |
| topic_facet | multiple sclerosis digital health eHealth intervention patient management chronic disease disease management Patient Reported Outcomes e-health app communication digital tools patient empowerment health information seeking user-centered design patient portal master’s program education multiple sclerosis management Dresden International University digitization icompanion icobrain digital health technology mobile application patient reported outcomes magnetic resonance imaging mHealth telemonitoring longitudinal assessment rehabilitation fatigue walking cognition software as a medical device participatory health monitoring smartphone-based assessments clinical validation technical validation MS apps digital health solution development digital biomarkers AI (early) Health Technology Assessment home monitoring MS disease activity MS disease progression early detection disease modelling digital therapeutics gait analysis mobility digital tools and applications precision medicine personalized therapy big data digital twin relapsing-remitting multiple sclerosis (RRMS) magnetic resonance imaging (MRI) brain MRI analysis software non-evidence of disease activity (NEDA) Markov model n/a thema EDItEUR::M Medicine and Nursing |
| url | ONIX_20220224_9783036528885_69 |