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Sandiola Launches Sandpiper AI to Bolster Hospital Revenue Integrity

Every under-documented complication or comorbidity directly suppresses a hospital’s case mix index and lowers earned reimbursement. Seeking to close these gaps, Encinitas-based Sandiola has unveiled Sandpiper, an AI-driven prioritization engine designed to audit 100% of inpatient encounters while pairing automated analysis with expert clinical review.

Sandiola Launches Sandpiper AI to Bolster Hospital Revenue Integrity

Under the Inpatient Prospective Payment System, documentation serves as the primary driver of financial health. Sandpiper addresses the complexity of this process by leveraging Anthropic’s advanced models and a proprietary machine-learning algorithm to review entire charts in under a second. By identifying missed acuity, the platform helps hospitals capture accurate reimbursement while simultaneously refining risk-adjusted quality outcomes.

The system operates on a human-in-the-loop design, where every DRG recommendation undergoes verification by dual-certified CDI and coding specialists. This ensures that all clinical suggestions remain audit-defensible and compliant before reaching medical staff. For the fiscal year 2025, Sandiola reports that its clients recovered an average of $540,000 per 3,000 inpatient discharges, yielding approximately $180 in net new reimbursement per case without requiring additional internal headcount.

To mitigate adoption risk, the company offers a 100% money-back guarantee against denials and downgrades. The service model is fully contingent, meaning hospitals incur no costs unless the platform secures additional reimbursement. This approach provides resource-constrained facilities with continuous, round-the-clock review capacity that supports both the CFO’s financial targets and the CNO’s clinical quality objectives.

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