Tracks (see Topics per Track below)

  1. Connected and Digital Health
  2. Health data science
  3. Human, organisational, and social aspects
  4. Knowledge management
  5. Quality and safety, and patient outcomes
  6. Ageing and Smart Health
  7. Application of Artificial Intelligence for Clinical Research Data
  8. Artificial Intelligence in Medicine and Healthcare Innovations (AIMHI)
  9. Continuum of care – navigating through the islands of care provision in chronic diseases through informatics
  10. Opportunities and Challenges of Artificial Intelligence in Healthcare
  11. Personalized Medicine – the why and how?
  12. Public-Private Partnerships towards UHC and the SDGs
  13. Telehealth for the ageing population

 

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 & the Internet of Things
Web 2.0, social media and social networks
Ubiquitous and pervasive computing

 

HEALTH DATA SCIENCE

Big data platforms and methods
Biosurveillance and population health monitoring
Cybersecurity
Data integration
Data and text mining, machine learning, predictive modelling
Data visualization
Electronic phenotyping
Epidemiology & 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

 

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
Patient empowerment & experiences
Privacy, confidentiality,
Public Trust and Citizen Engagement
Sustainability of health and care
Workflows and socio-organizational impact
User-centric design, usability engineering, and human-computer interaction

 

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

 

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
Nursing information systems
Patient-centred care and research outcomes
Quality assessment and improvement
Real-world Clinical Trials – Methodology and Execution