Topics include, but are not limited to:
Data science and analytics for healthcare:
•big data analytics, health analytics, knowledge
discovery, data mining and visualization
•health information management
•health workflow management
• interoperability protocols, terminologies, and
ontologies
• standards for healthcare computing and health data
• collections and registries, data linkage and integration
•modelling spatial biological data
•privacy / security issues on healthcare
•public and population large and big dataset predictive
analytics and surveillance
Use and integration of computing in healthcare:
• biomedical devices and systems
• biotechnology and bioinformatics
• clinical and healthcare decision support systems
• conceptual models and architectures
health informationsystems
• consumer information systems
• design and implementation for new models of care
• use and quality of health data
• electronic health records and systems
• health informatics education
• mobile platforms and BYOD in healthcare
• online and web interventions in healthcare
• telemedicine and remote healthcare services