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Facilitating Stroke Management using Modern Information Technology
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DOI：10.5853/jos.2013.15.3.135.png)
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Background and Purpose Information technology and mobile devices may be beneficial and useful in many aspects of stroke management, including recognition of stroke, transport and triage of patients, emergent stroke evaluation at the hospital, and rehabilitation. In this review, we address the contributions of information technology and mobile health to stroke management. Summary of Issues Rapid detection and triage are essential for effective thrombolytic treatment. Awareness of stroke warning signs and responses to stroke could be enhanced by using mobile applications. Furthermore, prehospital assessment and notification could be streamlined for use in telemedicine and teleradiology. A mobile telemedicine system for assessing the National Institutes of Health Stroke Scale scores has shown higher correlation and fast assessment comparing with face-to-face method. Because the benefits of thrombolytic treatment are time-dependent, treatment should be initiated as quickly as possible. In-hospital communication between multidisciplinary team members can be enhanced using information technology. A computerized in-hospital alert system using computerized physician-order entry was shown to be effective in reducing the time intervals from hospital arrival to medical evaluations and thrombolytic treatment. Mobile devices can also be used as supplementary tools for neurologic examination and clinical decision-making. In post-stroke rehabilitation, virtual reality and telerehabilitation are helpful. Mobile applications might be useful for public awareness, lifestyle modification, and education/training of healthcare professionals. Conclusions Information technology and mobile health are useful tools for management of stroke patients from the acute period to rehabilitation. Further improvement of technology will change and enhance stroke prevention and treatment.
Keyword:
Stroke
Information technology
Mobile health
Telemedicine
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期刊
IF:
8.9
论文数:
2.3W
被引数:
7.5W
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