معرفی
Monika Nair is a post-doctoral researcher at Halmstad University's School of Health and Welfare, specializing in artificial intelligence implementation within healthcare systems. Her work bridges technical AI development and practical clinical deployment, with significant contributions to reducing heart failure readmissions and creating practitioner-focused implementation frameworks.
Her research spans critical areas at the AI-healthcare intersection:
- Implementation science for clinical AI systems
- Predictive modeling of patient readmissions
- Human-centered design of decision support tools
- Barrier analysis for healthcare technology adoption
- Mixed-methods evaluation of AI interventions
- Stakeholder-driven framework development
Analysis of her publication trends (2022-2025) reveals consistent focus on practical AI integration challenges, combining technical modeling with organizational and human factors. Her work emphasizes co-creation with healthcare providers and addresses domain-specific applications in heart failure management and mental health services through scoping reviews, framework development, and empirical implementation studies.
Scientific awards:
- No specific awards documented in available sources
Monika actively supervises Master's and PhD students while teaching health innovation courses, guiding research on AI implementation topics. Her project involvement in the "Heart Failure Readmission Prediction" initiative and AI framework development indicates active grant-funded research, though specific funding details aren't publicly enumerated.
She collaborates within interdisciplinary teams focused on the "Heart Failure Readmission Prediction within 30-days" project and AI implementation framework development, working across computer science, clinical practice, and implementation science domains to translate research into actionable healthcare solutions.
