From Chaos to Clarity in Data with Malinka Walaliyadde
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.
Plus:
- Learn more about a16z Bio+Health
- Learn more about & Subscribe to Raising Health
- Find a16z Bio+Health on LinkedIn
- Find a16z Bio+Health on X
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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.
Plus:
- Learn more about a16z Bio+Health
- Learn more about & Subscribe to Raising Health
- Find a16z Bio+Health on LinkedIn
- Find a16z Bio+Health on X
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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