From Chaos to Clarity in Data with Malinka Walaliyadde
Jun 10, 2025•23 min•Ep. 120
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Summary
Malinka Walaliyadde, CEO of AKASA, discusses how the complexity of healthcare payment is a major challenge. He explains how AKASA uses AI, particularly large language models, to cut through unstructured clinical data to simplify the revenue cycle process. The episode focuses on their application of AI to complex medical coding, showing how it can improve accuracy, reduce denials, and positively impact quality scores, ultimately freeing healthcare staff to focus on patient care.Episode description
What if one of healthcare’s most complex administrative challenges—revenue cycle management—was reframed as a data science problem? In this episode, Malinka Walaliyadde, cofounder and CEO of AKASA, joins Julie Yoo to unpack how large language models have the potential to transform hospital revenue by automating highly nuanced coding and billing workflows.
Malinka discusses how AI is finally making it possible to extract simplicity from a sea of clinical complexity and unstructured data, simplifying the flow of dollars through the healthcare system and freeing staff to focus on patients.
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