Nova Medica Informatica (NOVEM) is a peer-reviewed, open-access quarterly journal that pioneers the Medicine-Driven Informatics paradigm in global health technology research. The journal serves as an international scholarly platform for publishing high-quality, clinically grounded research where medical needs, evidence-based practice, and healthcare challenges drive digital innovation.

Nova Medica Informatica (NOVEM) bridges the critical gap between clinical medicine and information technology, focusing on translational research that demonstrates tangible impact on patient outcomes, healthcare delivery, and health systems optimization. The journal prioritizes studies with rigorous methodological frameworks, clinical validation, and practical implementation insights.

Scope and Coverage:
NOVEM invites original research, systematic reviews, meta-analyses, and case studies in the following domains:

* Core Research Areas:
- Clinical Artificial Intelligence & Machine Learning
Development and validation of AI/ML algorithms for diagnosis, prognosis, and treatment optimization with clinical trial evidence

- Digital Health Implementation Science
Real-world implementation, scalability, and sustainability studies of digital health interventions across diverse healthcare settings

- Clinical Decision Support Systems (CDSS)
Design, development, and outcome evaluation of CDSS with demonstrated clinical efficacy and workflow integration

- Health Data Science & Analytics
Advanced analytics, predictive modeling, and big data applications using clinical datasets with ethical and regulatory considerations

- Telemedicine & mHealth Innovations
Evidence-based telemedicine frameworks, mobile health applications, and remote monitoring technologies with clinical validation

- Medical Internet of Things (MIoT)
Wearable medical devices, sensor technologies, and connected health ecosystems with clinical safety and efficacy data

- Health Information Systems & Interoperability
EHR/EMR systems, health information exchange, and standardized data architectures supporting clinical workflows

- Clinical Bioinformatics & Precision Medicine
Genomic data integration, biomarker discovery, and personalized treatment algorithms with clinical correlation

* Methodological Focus:
- Randomized Controlled Trials (RCTs) of digital health interventions
- Longitudinal cohort studies with digital endpoints
- Health economic evaluations of health technologies
- Mixed-methods studies combining quantitative and qualitative approaches
- Implementation research using established frameworks (RE-AIM, CFIR, etc.)
- Regulatory science and health technology assessment
- Editorial Standards & Quality Assurance