KIVA - The Ultimate AI SEO Agent Try it Today!

Cleveland Clinic, AKASA Launch AI Revenue Cycle Tools

  • Writer
  • April 29, 2025
    Updated
cleveland-clinic-akasa-launch-ai-revenue-cycle-tools

Key Takeaways

• Cleveland Clinic partners with AKASA to implement generative AI solutions in revenue cycle operations.

• The AI tools aim to enhance efficiency and accuracy in medical coding and clinical documentation integrity (CDI).

• New technologies can process over 100 clinical documents in 1.5 minutes, significantly reducing manual review time.

• The collaboration is designed to improve documentation quality, reflect patient care complexity, and advance operational excellence.


Cleveland Clinic, a world-renowned nonprofit academic medical center, has announced a strategic collaboration with AKASA, a healthcare AI company, to introduce generative AI tools aimed at improving the revenue cycle.

This partnership focuses on the critical mid-revenue cycle phase—the stage between patient care delivery and billing—where clinical documentation and coding are performed.

The initiative is set to streamline administrative processes, enhance coding accuracy, and better reflect the complexity of patient care across Cleveland Clinic’s U.S. locations.


AI Technologies Introduced

Cleveland Clinic will implement two advanced AI-powered tools from AKASA:


• A Coding AI Assistant capable of reading clinical documents in under two seconds and processing more than 100 documents in 1.5 minutes
• A Clinical Documentation Integrity (CDI) tool designed to enhance the completeness and accuracy of clinical records
• Context-sensitive analysis to capture nuances in complex patient cases beyond keyword matching

These technologies are expected to significantly reduce manual workloads, ensure high-quality documentation, and accelerate the revenue cycle process.


The Complexity of Medical Coding

Historically, Cleveland Clinic’s revenue cycle staff have needed to review more than 100 clinical documents per patient case, selecting from over 140,000 possible coding options. This intensive process could take up to an hour per patient encounter. The AI tools are designed to:

  • Minimize time spent on manual document review

  • Improve coding precision to accurately represent patient care

  • Support higher-quality clinical reporting and outcomes measurement

By automating these functions, Cleveland Clinic aims to free up human coders to focus on complex decision-making tasks rather than administrative burdens.


Leaders from Cleveland Clinic and AKASA emphasized the importance of this AI-driven modernization effort.


“AI can be transformational for healthcare – not only in patient care – but for helping health system operations run more smoothly and efficiently,” said Rohit Chandra, PhD., Chief Digital Officer at Cleveland Clinic.


“Cleveland Clinic has embraced artificial intelligence to enhance the experience of patients and caregivers, and with our collaboration with AKASA we are bringing AI-powered enhancements to our mid-revenue cycle,” said Dennis Laraway, Cleveland Clinic Executive Vice-President & Chief Financial Officer.

AKASA also sees this as a validation of its technology’s ability to perform in highly complex environments:


“We chose to pilot this technology with Cleveland Clinic because we wanted to test our AI against some of the most complex patient encounters in the world,” said Malinka Walaliyadde, CEO and co-founder of AKASA.


Broader Impact and Future Plans

Beyond immediate deployment, Cleveland Clinic will collaborate with AKASA to further refine these AI tools and develop new solutions to improve healthcare revenue cycle operations. The collaboration is positioned to:


• Set new standards for efficiency and accuracy in healthcare administrative processes
• Enhance transparency and precision in clinical documentation
• Provide a scalable model for AI adoption across large healthcare systems

The broader healthcare industry will likely observe this initiative closely as a potential blueprint for integrating AI into revenue cycle management on a large scale.

For more news and insights, visit AI News on our website.

Was this article helpful?
YesNo
Generic placeholder image
Writer
Articles written410

I’m Anosha Shariq, a tech-savvy content and news writer with a flair for breaking down complex AI topics into stories that inform and inspire. From writing in-depth features to creating buzz on social media, I help shape conversations around the ever-evolving world of artificial intelligence.

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *