Healthcare providers are Really finding it hard to manage reimbursements Mostly as payment regulations keep changing, contracts becoming more complex, and administrative requirements tougher. Rule-based revenue cycle management (RCM) systems that depend on traditional methods generally face challenges in adjusting to changing payer requirements and increased claim volumes. This leads to delays, manual interventions, higher operating costs, and the risk of more claim denials that could adversely affect financial performance.
To assist healthcare organizations to successfully deal with these problems, EXL has teamed up with Lifemed to bring a new AI-driven revenue cycle management method to the healthcare market. By combining automation, continuous learning, and analytics, the partnership aims at making claims handling more efficient, increasing the accuracy of reimbursements, and generally setting up the revenue cycle for higher performances.
Whereas traditional solutions mainly rely on generalized industry datasets, the new platform uses an organization’s own past medical, contractual, and financial data as a basis for building intelligent and adaptive models. The system constantly learning from provider-specific information is able to detect potential errors, run automated compliance checks, improve billing and coding procedures, and anticipate denials and appeals even before claims submission to payer.
Revenue cycle operations move from managing crises after they occur to avoiding them altogether. This change helps healthcare providers speed up cash flow, enhance revenue collection, and lessen the paperwork burden on internal teams.
Also Read: Bank of America to Launch Cross-Border Real-Time Payments
“At EXL, we’re thrilled to collaborate with Lifemed to deliver a truly differentiated solution that redefines how providers handle their revenue cycle,” said Trevor Jares, vice president of Integrated Revenue Management Solutions at EXL. “By integrating intelligence, automation, and real-time insights, we’re driving a more efficient, next-generation approach to claims management – from submission through adjudication – we will be able to arm providers with a technology that will deliver a significant positive impact on their margins.”
The partnership aims to modernize healthcare revenue operations by leveraging Lifemed’s Deepclaim neural network technology, which delivers real-time pre-adjudication capabilities designed to improve claim accuracy and reimbursement outcomes. By automating routine workflows and identifying issues before submission, organizations can focus valuable staff resources on more complex and high-risk cases that require human expertise.
“Our collaboration with EXL represents a major leap in revenue cycle innovation,” said Darian Rodriguez, executive vice president of Revenue Cycle Automation at Lifemed. “Together, we can accelerate the adoption of smarter, more efficient RCM workflows that shift operations from reactive error correction to proactive prevention aided by our Deepclaim neural network AI real-time pre-adjudication capabilities, helping providers recover more revenue, operate at maximum efficiency, and focus on delivering better care outcomes.”
According to the companies, this solution aims to help healthcare providers realize significant financial gains in a very tangible way. On average, users of this platform could see their net revenue go up by 10% to 25%. They could also bring down their accounts receivable (AR) days by 30% or even more and cut their revenue cycle staff’s workloads by more than 80%.
It’s no secret that healthcare providers are under pressure from rising costs and the complexities of getting reimbursed. As a result, many are turning to AI-backed automation to not only get better results in the revenue cycle but also free up time that can be spent on patient care and planning for the future.
