Generative AI for Healthcare Revenue Cycle | AKASA

AKASA

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Website
Last Updated:
2025/11/04
Description:
AKASA transforms healthcare revenue cycles with generative AI, optimizing clinical and financial data to reduce denials, improve margins, and increase revenue. Serving 650+ hospitals and 6,500+ outpatient facilities across 50 states.
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healthcare AI
revenue cycle
generative AI
RCM automation
clinical data

Overview of AKASA

AKASA: Generative AI for Healthcare Revenue Cycle Management

What is AKASA?

AKASA is a company that provides generative AI (GenAI) solutions for the healthcare revenue cycle. It focuses on improving processes from prior authorization to claims management, helping healthcare organizations reduce denials, improve margins, and increase revenue.

How does AKASA work?

AKASA leverages advanced GenAI trained on clinical and financial data. This AI is designed to understand the nuances of the healthcare revenue cycle, grasp clinical context, and optimize staff workflows. The platform aims to make revenue cycles faster, smarter, and more efficient.

Key Features and Benefits:

  • Reduced Denials: AKASA helps healthcare organizations minimize claim denials by using AI to ensure accuracy and compliance.
  • Improved Margins: By optimizing revenue cycle processes, AKASA helps healthcare providers improve their financial performance.
  • Increased Revenue: AKASA's solutions are designed to accelerate revenue collection and improve overall cash flow.
  • Enhanced Staff Productivity: The platform empowers revenue cycle staff by automating repetitive tasks and providing intelligent insights.
  • Better Patient Satisfaction: Efficient revenue cycle management contributes to a smoother patient experience.

How to use AKASA?

AKASA's platform is designed to be integrated directly into existing staff workflows. It leverages generative AI, which has been optimized for healthcare, to assist with various tasks within the revenue cycle. The platform's AI understands clinical context and nuances specific to healthcare systems, allowing it to provide more accurate and relevant assistance.

Key components of AKASA's platform include:

  • Prior Authorization Automation: Streamlines the process of obtaining prior authorizations for medical services.
  • CDI (Clinical Documentation Improvement): Improves the accuracy and completeness of clinical documentation.
  • Coding Assistance: Helps coding professionals assign the correct codes to medical procedures and diagnoses.
  • Claims Management: Automates and optimizes the claims submission and follow-up process.

AKASA by the numbers

  • Client base: 650+ hospitals and 6,500+ outpatient facilities.
  • $120B total client net patient revenue.
  • 43M clinical documents used to train AKASA's GenAI.
  • 100+ clinical documents reviewed in 90 seconds.

Customer Success Stories

  • Montage Health: Saw AKASA as a holistic solution capable of optimizing the revenue cycle into the future.
  • Methodist Health System: Experienced improvements in cost-to-collect metrics.
  • MediRevv: Pushing to implement AKASA further into their organization due to its extensive automation capabilities.

Why Choose AKASA?

AKASA stands out as a generative AI solution specifically tailored for healthcare revenue cycle management. Unlike generic AI tools, AKASA is trained on vast amounts of clinical and financial data, enabling it to understand the unique challenges and requirements of the healthcare industry.

Who is AKASA for?

AKASA is designed for:

  • Hospitals
  • Healthcare systems
  • Outpatient facilities
  • Revenue cycle management teams

It is particularly beneficial for organizations looking to:

  • Reduce administrative costs
  • Improve financial performance
  • Enhance staff productivity
  • Ensure regulatory compliance

Best way to optimize healthcare revenue cycle?

The best way to optimize your healthcare revenue cycle involves leveraging specialized generative AI solutions like AKASA. By integrating these tools into your existing workflows, you can automate tasks, improve accuracy, and enhance overall efficiency.

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