The platform uses artificial intelligence to help diagnostic providers manage claims and improve financial performance.
SYNERGEN Health has introduced IGNITE, a revenue cycle management (RCM) solution designed for laboratories and diagnostic providers. The platform aims to address issues such as denied claims and delayed reimbursements through artificial intelligence (AI)-driven technology.
The solution is designed to help laboratories more effectively collect earned revenue and improve operational efficiency. According to the company, laboratories often face a reactive approach, poor data quality, and inefficient processes that lead to financial disadvantages.
“Laboratories are at a tremendous disadvantage in today’s complex revenue cycle environment, and fragmented point solutions have done little to address the full scope of the problem,” says Duminda Gunawardena, co-founder and managing partner at SYNERGEN Health, in a release. “At a time when laboratories are being squeezed by rising costs and shrinking reimbursements, IGNITE provides a more integrated way to improve performance and drive stronger outcomes.”
The platform integrates with existing client systems to collect and analyze information from external sources. This provides a detailed overview of laboratory revenue cycle performance. The solution adheres to security standards, including SOC 2 + HITRUST CSF Type 2 certification and SOC 3 attestation. The company states these strict security controls help reduce compliance burden and risk for clients.
“We did not want to offer just another piecemeal RCM solution with limited scale and applicability,” says Sunil Konda, chief product officer and executive vice president at SYNERGEN Health, in a release. “We worked closely with clients to understand where performance breaks down across the laboratory revenue cycle. IGNITE combines AI-driven technology with deep domain expertise, proven processes, and high-touch service to deliver consistent execution and measurable financial outcomes at scale.”
The introduction of this tool comes as laboratories seek ways to manage operational costs and improve data quality. By consolidating RCM capabilities, the solution aims to provide end-to-end visibility into financial performance.
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