hims-observability

What problem does it solve?

This Skill addresses the critical need for robust monitoring and alerting in healthcare systems, ensuring the reliability and safety of clinical workflows by implementing structured logging, metrics, and tracing.

Core Features & Use Cases

• Structured Logging: Implement correlation IDs, user roles, and request IDs for better traceability without logging Protected Health Information (PHI).
• Clinical Metrics: Track key performance indicators like patient registration to consultation latency, prescription dispensing times, and lab result notification times with defined Service Level Objectives (SLOs).
• Patient Safety Monitoring: Focus on metrics such as medication interaction checks, critical lab value alerts, and prescription refusal rates.
• Operational Health: Monitor concurrent users, EMR search performance, and dashboard load times.
• Distributed Tracing: Implement OpenTelemetry spans across the application stack.
• Meaningful Alerts: Configure alerts for SLO breaches and critical clinical events with appropriate escalations.
• PHI-Safe Error Tracking: Ensure sensitive patient data is never logged in error reporting tools.

Quick Start

Implement structured logging for the patient registration process, ensuring correlation IDs are passed from the frontend to the backend.