What You Should Know:
– AKASA, the preeminent provider of generative AI (GenAI) solutions for the healthcare revenue cycle, today announced the launch of AKASA CDI Optimizer™.
– The new GenAI assistant is designed to help healthcare organizations significantly enhance clinical documentation integrity (CDI), improve compliance, and ensure the full clinical picture is captured for every patient encounter.
Addressing Mid-Cycle Revenue Cycle Challenges
The launch of CDI Optimizer comes as healthcare provider organizations face mounting pressures within their mid-cycle operations – the crucial steps encompassing clinical documentation, coding, and compliance. Factors like rising denial rates, constantly evolving regulatory requirements, and persistent staffing shortages challenge traditional CDI processes. AKASA notes that many health systems still depend on manual chart reviews or older, rules-based systems, which can often miss crucial revenue opportunities and fail to capture necessary quality and compliance metrics.
Leveraging Generative AI for Deeper Insights
CDI Optimizer utilizes clinically trained large language models (LLMs) – a form of generative AI – to automatically review 100% of inpatient encounters across all service lines. This AI-driven approach allows the tool to identify documentation gaps and surface high-impact query opportunities that might be missed by other methods.
“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.”
How CDI Optimizer Works for CDI Specialists
Designed to integrate seamlessly into existing workflows, CDI Optimizer prioritizes cases likely to have a high impact and presents high-confidence, evidence-backed query suggestions to CDI specialists. These suggestions are displayed alongside visual dashboards incorporating relevant vitals, labs, medications, and clinical notes. Crucially, every query suggestion includes clear clinical evidence from the record, empowering CDI specialists to validate opportunities efficiently and engage providers confidently. The tool also enables real-time collaboration between CDI and coding teams.
“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.”
