- Partner with Product and Engineering leadership on clinical decisions related to Trust & Safety, error-detection modules, and root cause analysis.
- Monitor errors in AI-generated clinical summaries and notes using human annotations, AI surveillance, and client feedback.
- Create and validate automated root cause analyses and conduct manual analysis when required.
- Collaborate with product teams to review error trends, define repairs, and escalate patient-safety risks.
- Provide clinical leadership for the SafeRead system, focusing on reviewer performance and accuracy.
- Support SafeRead operations including scheduling, hiring, auditing, and training.
- Partner with Data Science and Analytics to refine clinical error taxonomies and severity definitions.
- Collaborate on clinical prompt engineering and optimization of adversarial-detection systems.
- Manage and supervise Associate Clinical Specialist work in data collection and analysis.
- Support Trust & Safety meetings and internal cross-functional initiatives.