The startup offers a cloud-based analytics platform that aggregates revenue cycle management data from various healthcare systems, enabling providers to access and analyze patient-centric information. By utilizing AI-driven insights, the platform helps healthcare providers identify missed revenue opportunities and enhance contract negotiations, ultimately improving financial performance and operational efficiency.
Funding
$550K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Hospitals and healthcare providers often face challenges in optimizing their revenue cycle management due to complexities in payer contracts, billing methodologies, and evolving reimbursement models. These inefficiencies can lead to revenue leakage, underpayments, and delayed payments, significantly impacting their financial performance.
Solution
Sapphire RCMS provides an AI-powered analytics platform designed to optimize payer net patient revenue (NPR) for healthcare providers. The platform aggregates and analyzes claims, contract, and financial data to identify revenue leakage, improve contract negotiations, and ensure accurate and timely payments. By leveraging proprietary algorithms and processes, Sapphire RCMS helps providers uncover underpayments, reactivate lost revenue, and prevent future revenue leakage through continuous contract compliance audits. The solution aims to place providers on an even playing field with payers, ensuring they are paid correctly and on time.
Target Audience
The primary target audience includes hospitals, healthcare systems, and accounts receivable management firms seeking to optimize their revenue cycle management and improve financial performance.
Features
- AI-driven analytics to identify underpayments and revenue leakage
- Contract negotiation tools to improve payer agreements
- Continuous contract compliance audits to prevent future revenue loss
- Claims data analysis to uncover and reactivate lost revenue
- Proprietary algorithms and processes to optimize payer NPR
- Integration with existing healthcare systems for seamless data aggregation
- Blockchain technology to enhance data security and transparency