Ospi provides an AI‑driven platform that automates the coding and analysis of PMSI data for hospitals and health‑care providers.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals and health‑care providers often face labor‑intensive, error‑prone coding of PMSI (Programme de Médicalisation des Systèmes d'Information) data, which can lead to suboptimal reimbursement and delayed financial reporting.
Solution
Ospi offers an AI‑driven platform that automates PMSI coding and analysis. Its Cod+ solution uses machine‑learning models to extract clinical information from medical records and generate accurate PMSI codes with minimal human intervention. The system integrates directly with hospital information systems, allowing real‑time processing of admissions, stays, and procedures. Ospi also provides a simulator that estimates the potential annual revenue uplift from improved coding accuracy, helping administrators quantify financial benefits before deployment. The platform includes a cloud‑based analytics suite (PMSIpilot) that visualizes coding performance, tracks trends, and supports compliance reporting. By reducing manual effort and increasing coding precision, Ospi enables health‑care organizations to capture appropriate reimbursements while freeing staff to focus on patient care.
Target Audience
Primary customers are hospital finance departments, medical coding teams, and health‑care administrators seeking to optimize reimbursement and reduce coding workload.
Features
- Cod+ AI engine that automatically extracts clinical data and assigns PMSI codes with high accuracy
- Seamless integration with existing hospital information systems and electronic health records
- Real‑time validation and error‑checking to ensure compliance with coding standards
- Revenue simulation tool that projects annual reimbursement gains from coding improvements
- PMSIpilot analytics dashboard for monitoring coding quality, trends, and financial impact
- Secure, cloud‑based data processing compliant with health‑data privacy regulations