Malinka Walaliyadde
CEO
AKASA
AKASA provides an AI-powered platform for revenue cycle management in healthcare, utilizing generative AI trained on clinical and financial data to enhance operational efficiency. The solution addresses high denial rates and lengthy accounts receivable cycles, resulting in improved margins and increased revenue for healthcare organizations.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Enterprise Software
- Healthcare Technology
- Software Only
Updated 7 months ago
Funding
Raised to date
$205MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Healthcare organizations face challenges with high denial rates and extended accounts receivable cycles, which negatively impact their financial performance. Manual processes and complexities in clinical and financial data contribute to these inefficiencies.
Solution
AKASA offers a generative AI-powered platform designed to streamline revenue cycle management (RCM) for healthcare providers. By leveraging AI models trained on extensive clinical and financial datasets, the platform automates key RCM processes, such as prior authorization, medical coding, claim status updates, and claim attachment submissions. This automation reduces manual effort, minimizes errors, and accelerates the revenue cycle. The platform's AI capabilities enable healthcare organizations to improve operational efficiency, reduce denial rates, and ultimately increase revenue.
Target Audience
AKASA primarily serves hospitals, health systems, and outpatient facilities seeking to optimize their revenue cycle management processes and improve financial outcomes.
Features
- Generative AI models trained on a large corpus of clinical and financial data specific to healthcare.
- AI-powered automation of prior authorization processes, reducing manual effort for patient access teams.
- AI-driven medical coding recommendations to improve coding accuracy and comprehensiveness.
- Automated claim status updates, providing real-time visibility into claim processing.
- Streamlined claim attachment submission using AI to simplify documentation requirements.
- Integration with existing healthcare systems and workflows for seamless implementation.
- Performance monitoring and reporting dashboards to track key RCM metrics and identify areas for improvement.