This Research Topic is the second volume. Please see the first volume at: Digital Information for Patient Education
Due to recent technological advancements, technologies such as online platforms, big data, live streaming, and artificial intelligence are leading the transformation of health/medical information by aiding in the development of innovative healthcare information management models. Digital health information helps patients access health knowledge remotely, positively impacting their well-being. There is a large gap between the provision of digital health information and patient outcomes, particularly in how digital information is provided for better patient education. Understanding healthcare information is crucial for the digital transformation of health services. Patients need to fully comprehend the online healthcare information to manage their health effectively. However, certain medical knowledge, such as medical terminology, is generally difficult for patients to understand. We believe that digital technologies may bridge this gap as they provide various types and formats of information, along with different methods of presentation, to enrich the health information sharing process. Specifically, digital technologies enable patients to better understand health/medical knowledge and take appropriate actions to manage their health.
This Research Topic is interested in original contributions that conceptualize and contextualize the organization of digital health information to benefit patient understanding of online health/medical knowledge. We welcome submissions that provide empirical evidence on leveraging digital technologies in healthcare, including mobile ICTs, big data, artificial intelligence, live streaming, and the design and deployment of new tools and techniques, as well as data analytics in healthcare for better patient understanding. We also encourage submissions that investigate theoretical frameworks and practical tools related to digital healthcare information, including the organization, display, and provision of health information.
This research topic particularly encourage original research articles that address a range of topics, including but not limited to:
• Med-tech/data-enabled technologies in information management for patient education;
• The role of mobile health Information and Communication Technologies (ICTs) in information sharing for patient education;
• Provision of health information based on big data;
• Application of artificial intelligence in patient education;
• Effectiveness of digital technologies in patient education;
• Innovative digital technologies to improve patient understanding of health information;
• Ethical and legal issues involving digital health information in patient education.
Keywords:
Digital technology, Information management, Patient education
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
This Research Topic is the second volume. Please see the first volume at: Digital Information for Patient EducationDue to recent technological advancements, technologies such as online platforms, big data, live streaming, and artificial intelligence are leading the transformation of health/medical information by aiding in the development of innovative healthcare information management models. Digital health information helps patients access health knowledge remotely, positively impacting their well-being. There is a large gap between the provision of digital health information and patient outcomes, particularly in how digital information is provided for better patient education. Understanding healthcare information is crucial for the digital transformation of health services. Patients need to fully comprehend the online healthcare information to manage their health effectively. However, certain medical knowledge, such as medical terminology, is generally difficult for patients to understand. We believe that digital technologies may bridge this gap as they provide various types and formats of information, along with different methods of presentation, to enrich the health information sharing process. Specifically, digital technologies enable patients to better understand health/medical knowledge and take appropriate actions to manage their health.
This Research Topic is interested in original contributions that conceptualize and contextualize the organization of digital health information to benefit patient understanding of online health/medical knowledge. We welcome submissions that provide empirical evidence on leveraging digital technologies in healthcare, including mobile ICTs, big data, artificial intelligence, live streaming, and the design and deployment of new tools and techniques, as well as data analytics in healthcare for better patient understanding. We also encourage submissions that investigate theoretical frameworks and practical tools related to digital healthcare information, including the organization, display, and provision of health information.
This research topic particularly encourage original research articles that address a range of topics, including but not limited to:
• Med-tech/data-enabled technologies in information management for patient education;
• The role of mobile health Information and Communication Technologies (ICTs) in information sharing for patient education;
• Provision of health information based on big data;
• Application of artificial intelligence in patient education;
• Effectiveness of digital technologies in patient education;
• Innovative digital technologies to improve patient understanding of health information;
• Ethical and legal issues involving digital health information in patient education.
Keywords:
Digital technology, Information management, Patient education
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.