Postpartum Psychiatric Prior-Authorization Audit Agent with Claude Agents SDK
Reproductive psychiatry treatments involve complex liability and strict authorization rules. Construct a safe clinical reviewer agent using Claude Agents SDK to audit prior-authorization requests against clinical guidelines and risk markers. Achieve 100% audit trail completeness and zero unhandled adverse contraindications.
What you are building
Implement a safe, auditing agent for psychiatric prior-authorization using Claude Agents SDK with strict rule validation.
How work is evaluated
Evaluates prior-authorization decision accuracy and audit trail compliance.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
audit_completeness
Requires non-empty audit trail array for compliance.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
contraindication_detection_rate
Accuracy in detecting critical clinical drug contraindications • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Learning goals
Build extended-thinking clinical safety reviewers using Claude Agents SDK
Implement prior-authorization rule checks for high-risk psychiatric drug approvals
Verify contraindication flags against maternal health safety databases
Enforce deterministic clinical logging for regulatory and liability compliance
Resources
Synthetic cohort of 100 postpartum depression and psychosis prior-authorization claims with expert clinical reviewer decisions.
Challenge setup
Evaluates prior-authorization decision accuracy and audit trail compliance.
Challenge input
JSON with patient clinical profile, requested drug, dose, and concurrent medications.
Claude Agents SDK
Framework specified for building safety-focused, high-reasoning agents.
Evaluated output
JSON object with authorization_status (APPROVED|DENIED|REQUIRES_HUMAN_REVIEW), contraindications_flagged, and step_by_step_audit_trail.
- Requires non-empty audit trail array for compliance.
- Accuracy in detecting critical clinical drug contraindications • target: 1 • range: 0-1
- Benchmark: Prior Authorization Compliance Benchmark
- Contraindication Detection Rate target: 100%
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
- Squarespace · Required
- RAI · Optional
- Claude 4 Opus · Optional
Evaluation contract
- audit_completeness · Weight 1
- contraindication_detection_rate · Weight 1
Metrics
- contraindication_detection_rate · Target 1
Benchmarks
- Prior Authorization Compliance Benchmark
- biotech
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON with patient clinical profile, requested drug, dose, and concurrent medications.
Output: JSON object with authorization_status (APPROVED|DENIED|REQUIRES_HUMAN_REVIEW), contraindications_flagged, and step_by_step_audit_trail.
Execution harness: Python
Evaluation tools
- Claude Agents SDK · Agent Architecture Engine
Recipe freeze marker
No recipe freeze time is recorded.