Conference topics

Specific topics of interest for this conference cover various facets of health informatics research, including but not limited to the following:

1. Information technologies for healthcare delivery and management
  • Comparative effectiveness research
  • Consumer health and wellness informatics applications
  • E-commerce in health informatics
  • E-learning for spreading health informatics awareness
  • Economics of health computing (e.g., cost-benefit analysis
  • Health informatics education
  • Healthcare delivery in developing countries
  • Healthcare workflow management
  • Information technologies for alternative medicine
  • Information technologies for healthcare service delivery
  • Information technologies for hospital management
  • Information technologies for the management of patient safety and clinical outcomes
  • Medical compliance automation for patients and institutions
  • Organizational impacts of health information technologies
  • Public health informatics
  • Social studies of health information technologies
  • Technology informatics guiding educational reform
  • Telecare and Telemedicine
  • Virtual conferencing systems for healthcare
2. Health data acquisition and visualization, data analytics, data mining, and machine learning
  • Analytics for clinical care
  • Biomarker discovery and biomedical model development
  • Biomedical data mining
  • Biomedical pattern recognition
  • Cleaning, pre-processing, and ensuring quality and integrity of medical data
  • Continuous monitoring and streaming technologies for healthcare
  • Data analytics for healthcare quality assurance
  • Data model for health information system
  • Disease profiling and personalized treatment
  • Display and visualization of medical data
  • Healthcare workflow mining
  • Intelligent medical devices and sensors
  • Large-scale longitudinal mining of medical records
  • Medical insurance fraud detection
  • Medical signal acquisition, archiving, and communication
  • Medical signal analysis and processing
  • Natural language processing and text mining for biomedical literature, clinical notes, and health consumer texts
  • RFID solutions for healthcare
  • Technologies for capturing and documenting clinical encounter information in electronic systems
  • Virtual and augmented reality for healthcare
  • Virtual patients
3. Healthcare data&knowledge management and decision support
  • Biomedical modeling and simulation
  • Business intelligence and data warehousing for healthcare
  • Cognitive and decision support systems
  • Computational intelligence methodologies for healthcare
  • Computational support for patient-centered and evidence-based care
  • Computer support for surgical intervention
  • Computer-aided diagnosis
  • Disease diagnostic models
  • Disease prognostic models
  • Epidemiological modeling
  • Health risk evaluation and modeling
  • Healthcare knowledge abstraction, classification, and summarization
  • Healthcare knowledge computerization, execution, inference, management, and representation
  • Medical data management
  • Medical recommender systems
  • Operations research methods for healthcare
  • Optimization models for planning and recommending therapies
  • Personalized predictive modeling for clinical management (e.g., cancer, trauma, diabetes mellitus, sleep disorders, substance abuse)
  • Physiological modeling
  • Semantic Web, linked data, ontology, and healthcare
  • Statistics and quality of medical data
  • Survival analysis and health hazard evaluations
  • Visual analytics for healthcare
4. Health information systems
  • Acceptance testing for healthcare systems and applications
  • Applications in electronic health records
  • Clinical information systems
  • Cloud computing and big data for healthcare
  • Consumer and clinician health information needs, seeking, sharing, and use
  • Database design for health information systems
  • Development and implementation of medical data and vocabulary standards
  • E-visit system
  • Evaluation of health information systems
  • Experiences of building health information systems
  • Health digital library
  • Health information systems for chronic disease management
  • Health IT project management
  • Health software architecture, framework, design, and engineering
  • Health systems simulation
  • High-performance computing for healthcare
  • Information retrieval for health applications
  • Intelligent personal health records
  • Issues involving interoperability and data representation in healthcare delivery
  • Keyword and multifaceted search over structured electronic health records
  • Multi-agent systems for healthcare
  • Open-source software for healthcare
  • Pharmaco- and pharmacy informatics systems
  • Privacy in healthcare
  • Security in healthcare
  • System integration for healthcare
  • System software for clinical studies and translational research
  • Trustworthy and secure infrastructures for health information systems
5. Healthcare communication networks and environments
  • Assistive and adaptive ubiquitous computing technologies for healthcare
  • Collaboration technologies for healthcare
  • Computer games for healthcare
  • E-communities, social networks, and social media for patients and caregivers
  • Health portals
  • Healthcare communication system performance and adaptability
  • Peer-to-peer networks for healthcare
  • Sensor networks and systems for pervasive healthcare
  • Social media analysis and mining for healthcare applications
6. Interactions with health information technologies
  • Accessibility and Web-enabled technologies for healthcare
  • Affective computing for healthcare
  • Automated generation of textual document and multimedia content for healthcare
  • Biological effects of medical devices
  • Bio-surveillance
  • Communication interventions between patients and care providers
  • Consumer health literacy, numeracy, and graphicacy
  • Human factors (ergonomics) in health information systems
  • Medical biometrics
  • Medical robotics
  • Physiological computing (e.g., brain computer interface)
  • Speech, gesture, and handwriting acquisition and recognition for healthcare
  • Usability studies in healthcare
  • User-interface design for medical devices and health software

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