PROGRAM

Themes

Authors are encouraged to submit under the following streams. The bullet points under each stream provides context of the type of content in those areas.

Tracks (see topics per track below)

Patient Engagement
Connected and Digital Health
Health Data Science
Human, Organizational and Social Aspects
Medical and Healthcare Knowledge Management
Quality and Safety, and Patient Outcomes
Continuum of Care in Chronic Diseases and Aging Population through Informatics
Telehealth and Smart Health for the Ageing Population
Opportunities and Challenges of Artificial Intelligence in Healthcare and Clinical Practice
Application of Artificial Intelligence for Clinical Research Data and Innovations
Public-Private Partnerships towards UHC and the SDGs
HL7 FHIR

[1] PATIENT ENGAGEMENT

Personal health record
PHR and patient engagement
Patient reported outcome
Patient experience
Patient empowerment and experiences
Public trust and citizen engagement
Healthcare education and training
Design and development of patient-centered processes and systems
Patients’ access to their own electronic health records
Social Media and Online Patient Communities
Remote Patient Monitoring and Telemedicine
Wearables and Mobile Devices with Internet of Things (IoT)
Patient-Generated Health Data (PGHD)
Health Literacy, Health Information Technology (HIT) Literacy
Alert systems

[2] CONNECTED AND DIGITAL HEALTH

Aged care systems and solutions for people with special needs
Design, implementation and evaluation of telehealth solutions
eHealth tools and services
mHealth apps, IoT, wearable sensors and self-monitoring devices
Modelling and simulation of human physiology/anatomy/pathology
Participatory medicine
Patient portals and personal health records
Quantified self
Robotics and virtual reality systems
Smart homes & cities and the Internet of Things
Web 2.0, social media and social networks
Ubiquitous and pervasive computing

[3] HEALTH DATA SCIENCE

Big data platforms and methods
Biosurveillance and population health monitoring
Cybersecurity
Data integration
Data and text mining, machine learning and predictive modelling
Data visualization
Electronic phenotyping
Epidemiology and Biostatistics
Exposome and environmental exposure data collection and analysis
Health geographical information systems
High-performance and large-scale computing
Biomedical image and signal processing
Information processing in clinical research and trials
Information retrieval
Interoperability and standards
Learning healthcare systems
Molecular sequence processing
Natural language and speech processing
Personalized and precision medicine
Standards for exchanging health information

[4] HUMAN, ORGANIZATIONAL AND SOCIAL ASPECTS

Barriers to clinical system implementation
Cognitive models and problem solving
Education and training of health professionals and specialists
e-learning environments and MOOCs
Informatics policies and ethical issues
Innovative Information Governance
Management of large-scale health IT projects
Open data and open source systems
Privacy, confidentiality and security
Sustainability of health and care
Workflows and socio-organizational impact
User-centric design, usability engineering and human-computer interaction

[5] MEDICAL AND HEALTHCARE KNOWLEDGE MANAGEMENT

Controlled terminologies and vocabularies
Health information portals and digital libraries
Knowledge acquisition and processing
Ontologies, knowledge bases, data models and metadata
Semantic interoperability and semantic web methods
Expert systems and knowledge based decision support

[6] QUALITY AND SAFETY, AND PATIENT OUTCOMES

Chronic disease prevention and management, and continuity of care
Clinical decision support
Connected care
Cost-effective healthcare
Digital health literacy
Electronic health records
Electronic prescription and computerized provider order entry (CPOE)
Empirical research and evaluation studies
Guidelines and protocols
Hospital and clinical information systems
Integrated Care