Intelligent Case Triage System

Core Logic

Serves as the master coordinator using Claude Sonnet with semi-autonomous operation. Manages workflow state machine transitions, performs dynamic planning and re-planning when needed, routes tasks to appropriate specialized agents, and implements self-reflection to validate decisions before proceeding. Equipped with workflow_manager, agent_router, state_machine, and dynamic_planning tools.

Core Logic

Performs comprehensive risk assessment using Claude Sonnet in supervised mode. Calculates APACHE II and SOFA severity scores, queries FHIR endpoints for patient context, validates clinical indications against specimen types, and generates priority scores with confidence intervals. Integrates apache_ii_calc, sofa_score, fhir_query, and clinical_validation tools.

Core Logic

Implements Dijkstra-based path optimization using GPT-4 Turbo in fully autonomous mode. Monitors real-time instrument capacity and queue depths, predicts turnaround times based on historical patterns, detects and routes around bottlenecks, and optimizes batch processing for improved throughput. Uses dijkstra_solver, capacity_monitor, tat_predictor, and bottleneck_detector tools.

Core Logic

Monitors for critical values per CAP guidelines using Gemini 1.5 Flash with human-in-the-loop approval requirements. Applies severity classification algorithms, generates escalation alerts with clinical correlation context, and triggers notification workflows to appropriate clinical staff. Equipped with cap_reference, alert_generator, escalation_trigger, and severity_classifier tools.

Core Logic

Performs real-time compliance validation using Claude Haiku in supervised mode. Validates against CLIA requirements, checks HIPAA data handling compliance, performs delta checks against patient historical values, and generates immutable audit log entries. Implements clia_validator, hipaa_checker, audit_logger, and delta_check tools.

Core Logic

Provides proactive insights using GPT-4o in fully autonomous mode. Forecasts workload patterns for staffing optimization, detects anomalies in quality metrics before control limits are breached, analyzes trends across time periods, and predicts resource requirements. Uses workload_forecast, anomaly_detector, trend_analyzer, and resource_predictor tools.

Core Logic

Ensures system resilience using Claude Haiku in fully autonomous mode. Implements automatic error recovery with retry logic, provides model fallback to alternative providers when primary models are unavailable, repairs corrupted context, and performs root cause analysis for persistent failures. Equipped with error_recovery, model_fallback, context_repair, and root_cause_analyzer tools.