
Clinical AI Specialist
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in United States.
• Conduct audits on a substantial number of prior authorizations and AI-generated clinical outputs to ensure accuracy, completeness, and adherence to medical records and relevant payer criteria.
• Utilize evidence-based clinical reasoning to address complex or ambiguous cases.
• Differentiate between clinically significant errors and minor issues.
• Contribute to the development of a scalable system for clinical expertise.
• Recognize recurring error trends, gaps in clinical guidance, and unique cases.
• Analyze root causes and suggest enhancements to review standards and workflows.
• Employ AI tools in clinical review and auditing processes.
• Critically assess AI outputs and explore methods to boost throughput while upholding clinical quality.
• Take ownership of the quality and timeliness of work, fulfilling review expectations, and ensuring issues are resolved.
• A Doctor of Pharmacy (PharmD) degree is required.
• 2 to 10 years of professional experience, including direct managed care involvement in prior authorization, utilization management, appeals, or clinical quality within a health plan, pharmacy benefit manager (PBM), or a comparable organization.
• Exceptional clinical reasoning skills, including the ability to synthesize medical records, medication histories, payer criteria, and clinical evidence.
• Capability to navigate ambiguity and articulate a defensible conclusion clearly.
• Strong systems thinking skills, with a talent for identifying recurring patterns, root causes, and opportunities for workflow enhancement.
• Accurate written communication and meticulous attention to detail.
• Competence in providing structured feedback that clearly outlines issues, their clinical significance, and necessary corrections.
• Ability to work autonomously, effectively prioritize tasks, and consistently deliver precise work in high volumes.
• Enthusiasm for integrating AI into clinical practices.
• A mindset of intellectual curiosity, a willingness to experiment, and the judgment to challenge AI outputs and modify conclusions when necessary.
• Comprehensive health insurance coverage.
• Opportunities for continuous professional development and training.
• Flexible work arrangements and a supportive work environment.
Mindrift
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