Livoa LogoLivoa



Study (Short Title)

Main Focus

Architecture Layers
AI Roles

Strengths

Limitations
AI-Driven Optimization
Predictive Analytics & Workflow
Data Sources/EHR/Edge/Analytic
NLP, ML prediction, XAI
Comprehensive conceptual model
Lacks clinical validation
AI-Blockchain EHR SLR
Security & Privacy
Blockchain + AI integration
Fraud detection, anomaly
Systematic review, taxonomy
Scalability issues
Multimodal Framework
Data Integration
Ingestion/FHIR/Harmonized
NLP, causal models, SHAP
Detailed layered architecture
No implementation
Elastic EHR 5-Tier
UX & Flexibility
5-tier user-centric
Adaptive UI, personalization
Clinician experience focus
Limited technical depth
EHR 2025 Trends
Future Trends
Cloud/AI/Patient-centric
AI scribes, automation
Forward-looking
Descriptive only

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by mooji

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