Clinician Onboarding & Coaching Digital Worker

Core Logic

Uses ReAct (Reasoning + Acting) patterns to query clinician databases, fetch credential records from primary sources, retrieve facility assignment history, and aggregate compliance audit logs. Employs document OCR for processing uploaded credential images. Produces a unified data package with all relevant credential information for downstream analysis.

Core Logic

Parses credential records using chain-of-thought reasoning to evaluate each credential systematically. Checks expiration dates against current date with configurable warning thresholds (30, 60, 90 days). Validates credential authenticity through issuing body APIs. Cross-references required versus actual certifications for each facility and unit type. Generates detailed findings with severity ratings and suggested actions.

Core Logic

Loads Bayesian risk scoring models that weight expiration risk (35%), historical compliance (30%), coverage gaps (20%), and violation history (15%). Runs Monte Carlo simulations to quantify uncertainty ranges. Classifies clinicians into LOW, MEDIUM, HIGH, or CRITICAL risk tiers with confidence intervals. Outputs include overall risk score, contributing factors, and tier classification.

Core Logic

Deploys Prophet and LSTM ensemble models for time-series forecasting of compliance trends. Analyzes 12-month historical patterns to predict expiration waves (e.g., 23 ACLS certifications expiring in April). Identifies staffing gaps by correlating credential expirations with PTO patterns. Monitors regulatory changes and assesses impact on clinician compliance. Generates predictive alerts with probability scores and recommended proactive actions.

Core Logic

Loads recommendation templates. Matches identified risks and findings to specific action items. Searches for available renewal courses near the clinician location. Calculates estimated cost savings from proactive versus reactive resolution. Prioritizes recommendations by impact and effort, distinguishing automatable versus manual actions. Outputs include priority-ranked recommendations.

Core Logic

Queries clinician calendar availability through API integration. Searches training center schedules for matching course offerings. Identifies optimal time slots that minimize work disruption. Autonomously books courses when confidence exceeds threshold (typically 94%). Blocks clinician calendar and generates confirmation details. Reports scheduling decisions with full audit trail.

Core Logic

Determines optimal notification channels based on clinician preferences and urgency level. Generates personalized message content with specific credential details and action deadlines. Applies escalation rules for critical issues. Schedules multi-channel notification cascades (email → SMS → push → Slack). Tracks delivery receipts and triggers follow-ups for non-acknowledgment.

Core Logic

Collects outputs from all upstream agents and structures executive summary sections. Generates compliance scorecards with trend visualizations. Creates risk heat maps showing credential status distribution. Compiles audit-ready documentation with regulatory citations. Produces compliance certificates for regulatory submissions. Exports in multiple formats (PDF, interactive dashboard, JSON).

Core Logic

Provides conversational AI interface powered by RAG (Retrieval Augmented Generation) that answers compliance questions using analysis context. Displays chain-of-thought reasoning showing query analysis, context retrieval, knowledge integration, and response formulation steps. Offers suggested questions based on findings. Streams responses in real-time with visible reasoning process. Enables deep-dive exploration of specific findings, recommendations, and regulatory requirements.