Silna handles all prior authorizations, benefit checks and insurance monitoring upfront to make sure your patients are clear to receive care, and you have more capacity to provide it. Backed by Accel.
About the role
** Review information extracted from healthcare documents and actions taken by AI assistants during online and phone workflows. Identify errors, missing information, and cases that require human review. -Thoroughly audit AI agent outputs against ground-truth medical records and payor guidelines. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong analytical skills and attention to detail, with the ability to spot inconsistencies and investigate their causes
- The ability to turn ambiguous requirements into clear steps, decision points, and exceptions
- A systems mindset: you understand how steps in a workflow connect and how a change in one area affects downstream work
- Strong research skills and sound judgment about what is verified, what is assumed, and what needs clarification
- Clear written and verbal communication, including the ability to document precise, repeatable instructions
- Ability to execute on tasks in an efficient manner, owning the outcome
More about this role
Silna Health is looking for a curious, detail-oriented AI Insurance Process Specialist to build, maintain, and update insurance workflows and QA AI outputs related to insurance rules. You’ll review AI outputs and translate payor requirements into clear, executable workflows. This role combines research, quality assurance, and troubleshooting task execution. You’ll work closely with healthcare operations teams to collaborate closely with healthcare operations teams to research and implement payor configuration changes, analyze insurance workflows, and pinpoint opportunities to improve automation.. Identify where automation needs improvement is also part of the role. You will need strong analytical skills, careful judgment, and an interest in how AI can solve practical problems.
**Evaluate AI performance.
** Review information extracted from healthcare documents and actions taken by AI assistants during online and phone workflows. Identify errors, missing information, and cases that require human review.
-Thoroughly audit AI agent outputs against ground-truth medical records and payor guidelines.
**Annotate documents and forms.
** Label fields, map information to submission...
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