AKASA Debuts CDI Optimizer, a Generative AI Assistant To Transform Clinical Documentation and Mid-Cycle Performance

South San Francisco, Calif. – May 5, 2025 – AKASA, the preeminent provider of generative AI (GenAI) solutions for the healthcare revenue cycle, today announced the launch of AKASA CDI Optimizer™, a GenAI assistant designed to help healthcare organizations drive enhanced clinical documentation integrity (CDI), improve compliance, and capture the full clinical picture of each patient encounter.

CDI Optimizer addresses long-standing challenges in CDI for healthcare finance professionals by reviewing 100% of inpatient encounters across all service lines. Leveraging clinically trained large language models (LLMs), the tool identifies documentation gaps, surfaces high-impact query opportunities, and enables real-time collaboration between CDI and coding teams.

“CDI Optimizer is more than a new product — it’s a strategic leap forward for the mid-cycle,” said Malinka Walaliyadde, CEO and co-founder of AKASA. “We’re continuing to invest in GenAI because it’s delivering real results for leading health systems and academic medical centers. Our tailored LLMs understand the clinical record in ways that rules-based tools simply can’t, improving revenue integrity, quality capture, and compliance.”

Empowering the Mid-Cycle With AI

The launch of CDI Optimizer comes at a critical time for healthcare provider organizations. Mid-cycle operations — encompassing clinical documentation, coding, and compliance — are under increasing pressure from rising denial rates, evolving regulatory requirements, and acute staffing shortages. Yet most health systems still rely on manual reviews or outdated rules-based systems that are prone to missing revenue opportunities and quality and compliance metrics.

CDI Optimizer is different. It prioritizes cases with high-impact and high-confidence, evidence-backed query suggestions, displaying them together with visual dashboards of vitals, labs, medications, and clinical notes. Every query includes clear clinical evidence, empowering CDI specialists to validate opportunities efficiently and engage providers with confidence.

“CDI Optimizer was built hand-in-hand with real CDI experts who live this work every day,” said Amy Raymond, SVP of revenue cycle operations and deployments at AKASA. “That’s why it fits so seamlessly into existing workflows and delivers immediate value. This is more than just automation — it’s the foundation for the next generation of the revenue cycle.”

With this new product, AKASA is deepening its investment in the mid-cycle. It pairs with, and builds on, the success of the AKASA GenAI-powered coding solution, which launched last summer and is already helping health systems capture patients’ clinical course, risk, and complexity more accurately.

For more information, visit: akasa.com/cdi-optimizer

About AKASA

AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle. Our offerings are built on the AKASA Platform, which integrates the company’s proprietary generative AI technology and deep revenue cycle expertise to deliver exceptional impact for hospitals, health systems, and the patients they serve. AKASA helps healthcare organizations achieve greater efficiency, empower staff, and allocate resources where they matter most.