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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
Photo: Bio & News

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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