Raising Health From Chaos to Clarity in Data with Malinka Walaliyadde
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Jun 10, 2025 Malinka Walaliyadde, cofounder and CEO of AKASA, tackles the intricate challenges of hospital revenue management. She reveals how large language models can simplify complex medical coding and billing, transforming healthcare finances. The conversation uncovers the crucial need for AI in streamlining documentation and improving collaboration between payers and providers. Malinka also dives into the integration challenges of AI with electronic health records, showcasing the potential for innovative solutions to enhance both clinical and financial operations.
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Healthcare Payment Complexity
- The complexity in how healthcare is paid creates a large gap despite top quality medical care.
- Improved revenue cycle management can reduce friction and confusion, helping close this gap.
AI Decodes Patient Stories
- Revenue cycle management is about communicating the patient story completely to payers.
- LLMs enable software to understand complex medical records and automate coding workflows.
Shifts Fuel AI Use in Revenue Cycle
- Transition to ICD-10 increased coding complexity in healthcare payment.
- Providers need AI tools to keep pace with faster payer-side technology adoption.
