Medical Informatics (MDI)

Section Information

Medical Informatics focuses on the design, development, evaluation, and application of information systems and digital technologies to improve health care delivery, clinical decision-making, research, and patient outcomes. It integrates principles of computer science, data science, biomedical engineering, and clinical practice to support the efficient management and use of health information.

Modern medical informatics encompasses electronic health records, clinical decision support systems, health information exchange, telemedicine, wearable technologies, artificial intelligence, and advanced analytics. Research in this field addresses data quality, interoperability, privacy, workflow optimization, and the ethical use of health data.

This section publishes research articles, system evaluations, methodological studies, and reviews on digital health solutions, clinical informatics, health data science, medical information systems, and innovations that enhance the safety, efficiency, and effectiveness of health care systems.

Scope

Clinical Information Systems
- Electronic health records, electronic medical records, and data integration
- Clinical workflow design and usability studies
- Interoperability, standards, and health information exchange
- Data quality, validation, and information management
Clinical Decision Support and AI
- Decision support tools for diagnosis, treatment, and monitoring
- Machine learning, natural language processing, and predictive modeling
- AI-assisted clinical decision-making and automation
- Safety, transparency, and ethical considerations in AI systems
Health Data Analytics and Big Data
- Data mining, statistical analysis, and computational modeling
- Real-world evidence, observational data, and population analytics
- Data warehousing, interoperability frameworks, and cloud computing
- Visualization tools and knowledge discovery
Telemedicine and Digital Health
- Telehealth platforms, remote monitoring, and virtual care
- Wearables, sensors, mobile health applications, and IoT
- Digital therapeutics and personalized care solutions
- Access, equity, and patient engagement in digital health
Biomedical and Research Informatics
- Bioinformatics, computational biology, and translational data systems
- Clinical trial data management and research information systems
- Registries, data repositories, and knowledge representation
- Ontologies, metadata, and semantic interoperability
Public Health Informatics
- Disease surveillance, epidemiologic monitoring, and forecasting
- Health policy analysis and informatics-driven interventions
- Community health information systems and population-level analytics
- Decision-making tools for public health emergencies
Security, Ethics, and Policy in Health Informatics
- Privacy, confidentiality, and cybersecurity in health data systems
- Regulatory frameworks and compliance standards
- Ethical issues in algorithmic systems and data governance
- Legal considerations in digital health technologies
Human Factors and User-Centered Design
- User interface and experience design for clinical environments
- Cognitive modeling, communication, and decision behavior
- Adoption, implementation, and usability challenges
- Training, education, and informatics competencies