Medikode Unveils AI-Powered Medical Coding Solutions at HIMSS 2025 in Las Vegas

Andover, MA – February 23, 2025 – Medikode, a pioneering healthcare AI company, will debut its groundbreaking AI-powered medical coding solutions at the HIMSS 2025 Global Health Conference & Exhibition, taking place from March 3 to 6, 2025, in Las Vegas, Nevada. At Booth C3102-31 in Startup Park at Caesars Forum, attendees will experience how Medikode’s AI-driven technology is revolutionizing medical coding and revenue cycle management (RCM) with greater speed, accuracy, and compliance. Transforming Medical Coding with AI Medikode is designed to eliminate inefficiencies, reduce human errors, and accelerate the coding process by seamlessly integrating AI with electronic health records (EHR) and billing systems. The platform includes: • Medikode Assistant – AI-powered coding assistance to improve accuracy and productivity. • Medikode Validator – Real-time code validation for error reduction and compliance. • Medikode Auditor – AI-driven claim audits to minimize denials and ensure compliance. • Medikode Assessor – Analyzes historical claims to uncover missed revenue opportunities. • Medikode Parser – Converts Explanation of Benefits (EOB) into structured digital data. “Our mission is to enhance the efficiency of medical coders by providing AI-powered tools that improve accuracy, compliance, and workflow automation,” said Muthu Arumugam, Co-Founder & CTO of Medikode. “At HIMSS 2025, we look forward to showcasing how our solutions help healthcare providers optimize their revenue cycle.” Join Us at HIMSS 2025 Arasu Elango, Founder & CEO of Medikode, emphasized the company’s vision: “AI is redefining medical coding, and Medikode is at the forefront of this transformation. HIMSS 2025 presents the perfect opportunity to connect with industry leaders and showcase how AI can drive efficiency and financial accuracy in healthcare coding.” Medikode invites all attendees to visit Booth C3102-31 at Caesars Forum’s Startup Park to witness the future of medical coding.