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The recent HFMA conference revealed growing confidence in AI's capabilities among healthcare professionals.
In this episode, Malinka Walaliyadde, CEO and co-founder of AKASA, discusses the innovative work of his firm, a technology company leveraging generative AI to enhance healthcare revenue cycles. He explains how their AI tools streamline complex tasks like medical coding and prior authorization, making them more efficient and reliable. Malinka emphasizes the importance of building trust in AI by allowing staff to understand and verify the AI's recommendations, touching on the increasing acceptance of AI in healthcare and the need for real-world examples to demonstrate its effectiveness. He also shares his insights from the recent HFMA conference, noting a shift towards greater confidence in AI's potential and encouraging listeners to explore AKASA’s educational content and reach out for tailored solutions.
Tune in and learn how AI tools like AKASA can address labor challenges in medical coding by making skilled workers more efficient.
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110110 ratings
The recent HFMA conference revealed growing confidence in AI's capabilities among healthcare professionals.
In this episode, Malinka Walaliyadde, CEO and co-founder of AKASA, discusses the innovative work of his firm, a technology company leveraging generative AI to enhance healthcare revenue cycles. He explains how their AI tools streamline complex tasks like medical coding and prior authorization, making them more efficient and reliable. Malinka emphasizes the importance of building trust in AI by allowing staff to understand and verify the AI's recommendations, touching on the increasing acceptance of AI in healthcare and the need for real-world examples to demonstrate its effectiveness. He also shares his insights from the recent HFMA conference, noting a shift towards greater confidence in AI's potential and encouraging listeners to explore AKASA’s educational content and reach out for tailored solutions.
Tune in and learn how AI tools like AKASA can address labor challenges in medical coding by making skilled workers more efficient.
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