Healthcare payers face growing challenges in diagnostic-related group (DRG) coding and auditing, including errors, resource constraints, fraud risks, and regulatory demands. These hurdles threaten reimbursement accuracy and financial stability.
Emerging technologies like artificial intelligence (AI) and machine learning (ML) offer a transformative solution, streamlining processes, boosting accuracy, and ensuring compliance.
This whitepaper highlights the current challenges, key trends, and how Medintelx’s MIX platform empowers payers to address pain points, enhance efficiency, and protect revenue integrity in an evolving healthcare landscape.