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AKASA's Groundbreaking AI Revolutionizes Healthcare Coding

In a significant advancement for the healthcare industry, AKASA has just announced the launch of its cutting-edge autonomous AI platform tailored specifically for medical coding and clinical documentation integrity (CDI) in the mid-cycle of healthcare operations. This pioneering solution comes at a time when healthcare systems are facing unprecedented demand, making efficient documentation and coding more crucial than ever. The new platform marks a transition from AKASA's initial AI-driven prebill review to a fully autonomous system capable of handling the complexities involved in inpatient coding and CDI.

AKASA, an established leader in generative AI for healthcare revenue cycles, is expanding its capabilities to address growing needs within the industry. Over the past year, the company has seen its inpatient volume nearly multiply six times, reflecting a robust adoption of its AI products among healthcare providers. Currently, AKASA's clients handle more than $180 billion in aggregate net patient revenue, accounting for around 10% of inpatient discharges across the United States.

One of the standout features of the new AI platform is its ability to adapt to the specific requirements of individual health systems. AKASA fine-tunes its AI models to accommodate the unique attributes of each organization, including variations in patient demographics, clinical criteria, documentation practices, and the complexity of cases. This personalized approach ensures comprehensive documentation and precise coding, ultimately enhancing care quality and the patient experience.

Malinka Walaliyadde, CEO and co-founder of AKASA, emphasized the significance of these innovations by stating, "The incredible demand for healthcare is finally being addressed by advancements in AI. Multiple parts of the healthcare ecosystem will need to scale up, with documentation and coding being critical components. For years, an autonomous mid-cycle has been a holy grail in our industry. Today, AKASA is making it real."

Streamlining Complex Processes

Within the revenue cycle, the mid-cycle stage serves a critical role where a patient's clinical documents are transformed into codes that guide reimbursement, quality reporting, and risk adjustments. Traditionally, this process has remained predominantly manual, which not only complicates operations but also makes reliable automation a daunting challenge. Recent studies have reported coding error rates reaching as high as 20%, underscoring the pressing need for solutions that ensure accuracy and efficiency.

AKASA's technology is uniquely designed to handle intricate inpatient cases across various specialties without any human intervention. The company plans to integrate outpatient facility encounters into the platform shortly, further expanding its reach within the healthcare ecosystem. The autonomy embedded in this AI platform is posited to enhance workforce capacity, expedite billing procedures, and improve overall quality performance.

Rigorous evaluations have been conducted to assess the performance of AKASA's AI against human coders. Results indicate that the company's AI maintains or even exceeds the accuracy levels established by experienced coders in critical areas such as MS-DRG assignment and diagnosis capture. In stark contrast to the standard coding time of 30 to 60 minutes per inpatient encounter, AKASA's AI can complete the same in less than 90 seconds post-discharge, significantly streamlining the billing process.

Beyond coding improvements, AKASA extends its capabilities into the realm of CDI, ensuring that documentation is thorough while forming a cohesive AI framework across clinical documentation, coding, and prebill review. As AKASA rolls out this autonomy in mid-cycle operations, it will collaborate with health systems to develop custom deployment strategies that align with their distinct requirements.

Collaborative Success Stories

One of AKASA's notable partnerships is with Cleveland Clinic, which has leveraged the AI's prebill review products to heighten the accuracy and thoroughness of its clinical records. Cleveland Clinic is exploring further implementation of AKASA's autonomous solutions aimed at improving operational efficiency in their workflow processes. Dr. Rohit Chandra, Chief Digital Officer at Cleveland Clinic, remarked, "Our revenue cycle work is especially time-intensive given the complexity of patients we manage. We're optimistic that autonomous coding will enhance both the speed and accuracy of our documentation efforts."

Through the introduction of this mid-cycle automation, AKASA builds on its successful history of assisting healthcare organizations in modernizing their revenue cycle operations. Jeff Francis, Chief Financial Officer at Nebraska Methodist Health System, highlighted the positive impact of AKASA's solutions on revenue integrity, challenge resolutions, and payment processes, expressing confidence in the potential of autonomy to further boost efficiency.

Julie Yoo, a general partner at prominent venture capital firm Andreessen Horowitz, echoed these sentiments, explaining that, "Healthcare cannot meet the scale of demand ahead through human labor alone. AKASA's advancements represent the forefront of AI innovation, automating complex tasks within some of the nation’s most intricate healthcare systems."

About AKASA

Founded to tackle the most complex challenges within healthcare revenue cycles, AKASA focuses on developing AI systems that are tailored to the unique needs of each health organization's documentation and coding processes. With clients that account for over $180 billion in net patient revenue nationwide, AKASA is committed to revolutionizing healthcare practices and improving the patient experience through advanced technology.