Health Information Technology (HIT) innovations offer significant potential to transform the delivery of care, to improve the quality and efficiency of the healthcare system, to enhance interactions between patients/caregivers and providers, and to enable greater access to the latest advancements in treatments, among other accomplishments and outcomes. Health and Medical Informatics is an important HIT area that is at the intersection of information science, computer science, social science, behavioral science and health care. This field is mainly concerned with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, processing and use of information in health and biomedicine.
Health and Medical Informatics is driven by computers, information and communication systems. It is a multi-disciplinary field that covers a wide spectrum of sub-fields. It combines the problem solving skills of computer scientists with health care professionals and health care givers. Databases, networking, graphical interfaces, IoT, data mining, machine learning, intelligent decision support systems and data science are just a few of the technologies and research areas currently contributing to health and medical informatics. Mobility and ubiquity in healthcare systems, standardization of technologies and procedures, certification, privacy and security are some of the issues that medical informatics professionals and the ICT industry and research community in general are addressing in order to further promote ICT in healthcare. The purpose of this symposium is to bring together researchers and practitioners interested in the application of information and communication technologies (ICT) to healthcare and medicine in general and to the support of persons with special needs in particular.
Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to:
o Big data on healthcare
o Blockchain based intelligent data management in healthcare
o Data driven smart health
o Health Data Analytics, Data Mining, Data Science and Machine Learning for healthcare
o Medical Devices, medical imaging, and biosignal Processing
o eHealth
o mHealth and Wearable Devices
o Telemedicine
o Health Internet of Things
o Cybersecurity and Healthcare Information
o Healthcare privacy
o Biodata management, security and analytics
o AI in healthcare applications
o Healthcare Decision Support and Intelligent Systems
o Biomedical Informatics
o User interaction systems and data/information exchange
o Applied connected health and integrated care systems
o Personalized health systems and medicine
o Interoperability in Healthcare Systems
o Health Information Management and security
o Healthcare Knowledge Management
o Social media in e-health
o Socio-Economic Issues
o Healthcare Security and Privacy
o Patient Safety
o Standards, Social and Legal Issues
o Patient Diagnosis Methods
o Patient Monitoring Systems
o Health Data Acquisition, Management and Visualization
o E-learning and Education
o Medical Robotics and Virtual Reality
o Care processes and workflow models
o Quality development in healthcare services
o Usability, accessibility and user interface design
o Patient involvement and empowerment
o Electronic health record systems: solutions, implementations, evaluation
o Games for health
o E-health and organizational change
o Sociological, sociotechnical and multi-disciplinary perspectives on e-health
o Evaluation assessment of healthcare applications studies
o Qualitative, quantitative and mixed methods studies in healthcare IT