AI-powered DRG auditing solution drives transformative results

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AI-powered DRG auditing solution
drives transformative results

Digital technologies set new standards for efficiency, accuracy, and scalability

A leading managed healthcare company faced inefficiencies with their review and evaluation of hospital bills for inpatient stays, a meticulous process that ensures the diagnosis-related group (DRG) assigned for billing and reimbursement is correct. During this process, auditors verify that the patient's primary/secondary diagnoses, procedures, and discharge status are accurately coded and documented, which is crucial for healthcare providers to receive appropriate payment. This requires skilled auditors, nurses, doctors, and clinicians to review vast amounts of unstructured medical records, often exceeding 2,500 pages per case. These records, in formats like PDFs, JPEGs, and PNGs, must be carefully analyzed to detect billing discrepancies and validate claims.

The result was an error-prone, financially risky system that left payers vulnerable to missed opportunities and compliance gaps. A comprehensive digital solution was urgently needed to streamline the audit process, reduce manual tasks, and enhance scalability.

Solution

EXL, in partnership with AWS, developed a scalable, cloud-native natural language processing (NLP) solution to transform unstructured clinical data into a searchable, indexed format. This innovative platform introduced several key features to revolutionize the auditing process:

  • Smart search capabilities: Auditors could instantly locate relevant documentation using smart keyword suggestions and match highlights, significantly reducing search time.
  • Guided audit path: An in-house trained model presented decision-based questions linked to multiple evidence points, enabling logical, easier workflows for claim validation.
  • Unified audit summary: Consolidated notes, evidence, and references into a single summary, eliminating the need for system toggling and delivering findings in client-preferred formats.
  • Centralized audit wiki: Provided real-time access to guidelines, client instructions, and regulatory updates, ensuring auditors have the latest information at their fingertips.
  • Impact reporting: Delivered visibility into savings, outcomes, and compliance metrics, enabling data-driven decisions.
  • Continuous improvement: An embedded feedback loop refined NLP performance with every audit, ensuring the platform evolved to meet changing needs. This end-to-end solution enhanced accuracy, efficiency, and transparency, redefining the audit experience for all stakeholders.

EXL's innovative, AI-powered DRG auditing platform has set a new standard for efficiency, accuracy, and scalability in the healthcare industry. By leveraging advanced analytics, NLP, and cloud-native technologies, EXL transformed a traditionally manual and error-prone process into a streamlined, high-performing system. The result is a win-win for all stakeholders—auditors, payers, and providers—delivering significant cost savings, improved compliance, and enhanced operational efficiency.

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