Journal of Digital Health Records, Medical AI and Informatics Systems
Aim and Scope
The Journal of Digital Health Records, Medical AI and Informatics Systems publishes original research, applied studies, reviews, and technical reports in the field of healthcare information technology and AI-enabled medical systems. It aims to bring together expertise from healthcare, computer science, data analytics, and policy to address the growing role of digital systems in health service delivery.
Its scope reflects the increasing integration of AI and informatics into clinical workflows, where secure, accurate, and timely data exchange is essential for patient safety and system efficiency. The journal invites work that demonstrates practical applications, system innovations, or policy frameworks that advance healthcare quality and accessibility.
Key areas of interest include:
- Electronic Health Records (EHR) and Health Information Systems: Design, implementation, interoperability, and data standardisation.
- Medical Artificial Intelligence: Machine learning, deep learning, and natural language processing for diagnosis, prognosis, and treatment planning.
- Medical Imaging and Signal Analysis: AI-assisted interpretation of radiology, pathology, cardiology, and other imaging modalities.
- Telemedicine and Remote Patient Monitoring: Virtual consultations, wearable sensors, and continuous care platforms.
- Predictive Analytics and Decision Support: Early disease detection, risk scoring, and personalised treatment recommendations.
- Data Privacy and Cybersecurity: Secure data storage, encryption methods, access controls, and compliance with regulations such as HIPAA and GDPR.
- Workflow and User Experience: Integration of digital tools into clinical environments, usability testing, and staff training.
- Health Informatics Infrastructure: Large-scale system architecture, cloud-based solutions, and interoperability standards.
- Ethics and Governance: Bias mitigation, explainable AI, accountability, and ethical considerations in algorithm deployment.
The journal accepts both quantitative and qualitative research, as well as implementation studies, system evaluations, and policy-oriented analyses. Contributions from diverse healthcare settings and global regions are welcome, particularly those addressing low-resource environments.
Authors are expected to define clear research objectives, describe the methodology, and discuss the significance of their findings for healthcare practice and technology development.