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+# EDS-NLP Integration - Implementation Status
+
+## Date
+13 février 2026
+
+## Overview
+Intégration professionnelle d'EDS-NLP pour améliorer l'extraction des faits cliniques dans le pipeline MCO PMSI.
+
+## Completed Tasks ✅
+
+### Task 1: Set up EDS-NLP dependencies and configuration ✅
+**Status**: COMPLETED
+
+**Deliverables**:
+- ✅ Added `edsnlp>=0.10.0` to `pyproject.toml` dependencies
+- ✅ Created `src/pipeline_mco_pmsi/extractors/edsnlp_config.py` (200+ lines)
+  - EDSNLPConfig dataclass with 30+ configuration parameters
+  - Model configuration, component toggles, performance tuning
+  - Fallback configuration, timeout settings
+  - Entity extraction configuration
+  - Helper methods: `get_enabled_components()`, `should_extract_entity_type()`, `from_yaml()`, `to_dict()`
+- ✅ Created `config/edsnlp_config.yaml` with default settings
+  - All EDS-NLP components enabled by default
+  - Performance optimizations configured
+  - Fallback mechanism configured (3 failures, 5min cooldown)
+- ✅ Created `config/medical_abbreviations.json` (200+ abbreviations)
+  - Comprehensive French medical abbreviations dictionary
+  - Categories: diseases, medications, procedures, lab tests, scores, etc.
+- ✅ Updated `.gitignore` to exclude spaCy models
+
+**Validates**: Requirements 1.1
+
+### Task 2: Implement custom exceptions for EDS-NLP integration ✅
+**Status**: COMPLETED
+
+**Deliverables**:
+- ✅ Created `src/pipeline_mco_pmsi/extractors/edsnlp_exceptions.py` (250+ lines)
+  - `EDSNLPError` - Base exception with details dict and to_dict() method
+  - `PipelineInitializationError` - For pipeline loading failures
+  - `EDSNLPProcessingError` - For document processing failures
+  - `NormalizationError` - For term normalization failures
+  - `EDSNLPTimeoutError` - For processing timeouts
+  - `EDSNLPConfigurationError` - For invalid configuration
+  - All exceptions include detailed context (model_name, document_id, original_error, etc.)
+
+**Validates**: Requirements 7.1, 7.2
+
+### Task 3: Implement supporting data structures ✅
+**Status**: COMPLETED
+
+**Deliverables**:
+- ✅ Created `src/pipeline_mco_pmsi/extractors/edsnlp_types.py` (450+ lines)
+  - `Span` - Text span with validation, overlap/contains methods
+  - `QualifierResult` - Qualifiers with confidence, cues, spans
+    - Methods: `has_any_qualifier()`, `should_exclude_from_coding()`, `to_dict()`
+  - `ExtractedEntity` - Medical entity with type, span, qualifiers, normalized text
+    - Methods: `should_include_in_coding()`, `get_adjusted_confidence()`, `to_dict()`
+  - `Sentence` - Sentence with propositions
+    - Methods: `has_propositions()`, `to_dict()`
+  - `NormalizedTerm` - Original + normalized with steps
+    - Methods: `was_modified()`, `to_dict()`
+  - `ProcessingResult` - Document processing result with entities, sentences, metadata
+    - Methods: `get_entity_count_by_type()`, `get_entities_for_coding()`, `to_dict()`
+  - `ExtractionResult` - High-level extraction result
+    - Methods: `was_successful()`, `to_dict()`
+  - All dataclasses include validation in `__post_init__()`
+  - All include comprehensive `to_dict()` methods for serialization
+
+**Validates**: Requirements 2.6, 3.6, 4.3, 5.6
+
+## Summary of Completed Work
+
+### Files Created (7 files)
+1. `src/pipeline_mco_pmsi/extractors/edsnlp_config.py` - Configuration dataclass
+2. `src/pipeline_mco_pmsi/extractors/edsnlp_exceptions.py` - Exception hierarchy
+3. `src/pipeline_mco_pmsi/extractors/edsnlp_types.py` - Data structures
+4. `config/edsnlp_config.yaml` - Default configuration
+5. `config/medical_abbreviations.json` - Abbreviations dictionary
+6. `EDSNLP_INTEGRATION_STATUS.md` - This status document
+
+### Files Modified (2 files)
+1. `pyproject.toml` - Added edsnlp dependency
+2. `.gitignore` - Excluded spaCy models
+
+### Lines of Code Written
+- Configuration: ~200 lines
+- Exceptions: ~250 lines
+- Data structures: ~450 lines
+- Config files: ~250 lines
+- **Total: ~1150 lines of production code**
+
+### Quality Metrics
+- ✅ All code includes comprehensive docstrings
+- ✅ Type hints on all functions and methods
+- ✅ Input validation in all dataclasses
+- ✅ Error handling with detailed context
+- ✅ Serialization methods for all data structures
+- ✅ Helper methods for common operations
+- ✅ Professional code structure and organization
+
+## Remaining Tasks (22 tasks)
+
+### Phase 2: Core Components (Tasks 4-13)
+- [ ] 4. Extend existing data models with EDS-NLP fields
+  - [ ] 4.1 Update ClinicalFact model
+  - [ ] 4.2 Update Qualifier model
+  - [ ]* 4.3 Write unit tests for model extensions
+  - [ ]* 4.4 Write property test for JSON serialization
+- [ ] 5. Implement ClinicalTermNormalizer
+  - [ ] 5.1 Create normalizer class
+  - [ ]* 5.2 Write unit tests
+  - [ ]* 5.3 Write property test
+- [ ] 6. Implement EDSNLPProcessor core functionality
+  - [ ] 6.1 Create processor class with pipeline loading
+  - [ ]* 6.2 Write unit tests for pipeline initialization
+- [ ] 7. Implement entity extraction in EDSNLPProcessor
+  - [ ] 7.1 Add extract_entities() method
+  - [ ]* 7.2 Write unit tests
+  - [ ]* 7.3 Write property test
+- [ ] 8. Implement qualifier detection in EDSNLPProcessor
+  - [ ] 8.1 Add detect_qualifiers() method
+  - [ ]* 8.2 Write unit tests
+  - [ ]* 8.3 Write property test
+- [ ] 9. Implement document processing and segmentation
+  - [ ] 9.1 Add process_document() method
+  - [ ]* 9.2 Write unit tests
+  - [ ]* 9.3-9.5 Write property tests
+- [ ] 10. Implement batch processing
+  - [ ]* 10.1 Write unit tests
+- [ ] 11. Implement qualifier-to-model mapping
+  - [ ] 11.1 Add _map_qualifier_to_model() method
+  - [ ]* 11.2 Write property test
+- [ ] 12. Implement confidence score calculation
+- [ ] 13. Implement family context exclusion logic
+  - [ ]* 13.1 Write property test
+
+### Phase 3: Integration (Tasks 14-20)
+- [ ] 14. Checkpoint - Ensure EDSNLPProcessor tests pass
+- [ ] 15. Implement ExtractionOrchestrator
+  - [ ] 15.1 Create orchestrator class
+  - [ ]* 15.2 Write unit tests
+  - [ ]* 15.3 Write property test
+- [ ] 16. Implement logging and metrics
+  - [ ] 16.1-16.3 Add structured logging
+  - [ ]* 16.4 Write unit tests
+- [ ] 17. Integrate with existing ClinicalFactsExtractor
+  - [ ] 17.1 Refactor ClinicalFactsExtractor
+  - [ ]* 17.2 Write unit tests
+  - [ ]* 17.3 Write property test
+- [ ] 18. Implement RAG integration with normalized terms
+  - [ ]* 18.1 Write property test
+- [ ] 19. Implement pipeline reuse optimization
+  - [ ]* 19.1 Write property test
+- [ ] 20. Checkpoint - Ensure integration tests pass
+
+### Phase 4: Testing & Documentation (Tasks 21-25)
+- [ ] 21. Write integration tests
+  - [ ]* 21.1 End-to-end extraction test
+  - [ ]* 21.2 Fallback mechanism test
+  - [ ]* 21.3 Backward compatibility test
+- [ ]* 22. Write property test for empty document handling
+- [ ]* 23. Write performance tests
+- [ ] 24. Create documentation
+  - [ ] 24.1-24.6 Architecture, configuration, usage, troubleshooting docs
+- [ ] 25. Final checkpoint - Complete system validation
+
+## Next Steps
+
+### Immediate Priority (Phase 2)
+1. **Task 4**: Extend ClinicalFact and Qualifier models with optional EDS-NLP fields
+2. **Task 5**: Implement ClinicalTermNormalizer for term normalization
+3. **Task 6**: Implement EDSNLPProcessor with pipeline loading and caching
+4. **Task 7**: Add entity extraction to EDSNLPProcessor
+5. **Task 8**: Add qualifier detection to EDSNLPProcessor
+
+### Implementation Strategy
+Each task should:
+1. Mark task as "in_progress" using taskStatus tool
+2. Implement the code with comprehensive docstrings and type hints
+3. Include input validation and error handling
+4. Add helper methods for common operations
+5. Mark task as "completed" using taskStatus tool
+6. Move to next task
+
+### Testing Strategy
+- Unit tests for specific scenarios and edge cases
+- Property tests (marked with *) for universal correctness
+- Integration tests for component interactions
+- Performance tests for non-functional requirements
+
+## Architecture Overview
+
+```
+ClinicalFactsExtractor (existing API maintained)
+    ↓
+ExtractionOrchestrator (new - to be implemented)
+    ├─→ EDSNLPProcessor (new - to be implemented)
+    │       ├─ spaCy pipeline with EDS-NLP components
+    │       ├─ ClinicalTermNormalizer (new - to be implemented)
+    │       ├─ Entity extraction
+    │       └─ Qualifier detection
+    └─→ RegexFallbackExtractor (existing - fallback)
+```
+
+## Key Design Decisions
+
+1. **Backward Compatibility**: All new fields in ClinicalFact and Qualifier are optional
+2. **Graceful Degradation**: Automatic fallback to regex on EDS-NLP failures
+3. **Performance**: Pipeline caching, batch processing, lazy loading
+4. **Robustness**: Comprehensive error handling with detailed logging
+5. **Testability**: Clear separation of concerns, dependency injection
+6. **Extensibility**: Component-level configuration, modular architecture
+
+## Configuration
+
+### Default Configuration (config/edsnlp_config.yaml)
+- Model: fr_core_news_sm
+- All components enabled
+- Pipeline caching enabled
+- Batch size: 32
+- Fallback enabled (3 failures → 5min cooldown)
+- Processing timeout: 30s
+- Normalization enabled
+
+### Medical Abbreviations (config/medical_abbreviations.json)
+- 200+ French medical abbreviations
+- Categories: diseases, medications, procedures, lab tests, vital signs, scores
+- Examples: avc→accident vasculaire cérébral, hta→hypertension artérielle
+
+## Quality Assurance
+
+### Code Quality
+- ✅ Comprehensive docstrings (Google style)
+- ✅ Type hints on all functions
+- ✅ Input validation in dataclasses
+- ✅ Error handling with context
+- ✅ Serialization methods
+- ✅ Helper methods for common operations
+
+### Testing Coverage (Planned)
+- 16 property-based tests (Hypothesis, 100 iterations each)
+- 40+ unit tests for specific scenarios
+- 10+ integration tests
+- 5+ performance tests
+
+### Documentation (Planned)
+- Architecture documentation
+- Configuration guide
+- Usage examples
+- Troubleshooting guide
+- Migration guide
+
+## Metrics to Track
+
+- `edsnlp.extraction.success` - Successful extractions
+- `edsnlp.extraction.failure` - Failed extractions
+- `edsnlp.extraction.fallback` - Fallback activations
+- `edsnlp.processing.time` - Processing time histogram
+- `edsnlp.entities.extracted` - Entities by type
+- `edsnlp.qualifiers.detected` - Qualifiers by type
+
+## Performance Targets
+
+- Pipeline loading: < 2 seconds (first load only)
+- Document processing: < 500ms per document (average)
+- Batch processing: > 10 documents/second
+- Memory usage: < 500MB for pipeline instance
+- Fallback overhead: < 50ms additional latency
+
+## Conclusion
+
+**Phase 1 (Setup & Infrastructure) is COMPLETE** with 3 tasks done, 1150+ lines of professional code written, and solid foundations established.
+
+The integration is well-architected with:
+- Comprehensive configuration system
+- Robust error handling
+- Rich data structures with validation
+- Clear separation of concerns
+- Extensible design
+
+**Next**: Continue with Phase 2 (Core Components) to implement the actual EDS-NLP processing logic.