47:I[185,["/_next/static/chunks/08z4tkzvltetr.js","/_next/static/chunks/121~yigv24_j6.js","/_next/static/chunks/0a~e7k..h6jfc.js","/_next/static/chunks/0za7dr7c2y81~.js","/_next/static/chunks/03klviw01y.ih.js","/_next/static/chunks/0gx_3vy1-syt4.js","/_next/static/chunks/0i6hzvr84kc1r.js"],"SendEmailButton"] 49:I[63625,["/_next/static/chunks/08z4tkzvltetr.js","/_next/static/chunks/121~yigv24_j6.js","/_next/static/chunks/0a~e7k..h6jfc.js","/_next/static/chunks/0za7dr7c2y81~.js","/_next/static/chunks/03klviw01y.ih.js","/_next/static/chunks/0gx_3vy1-syt4.js","/_next/static/chunks/0i6hzvr84kc1r.js"],"AddToLibraryButton"] 4c:I[45269,["/_next/static/chunks/08z4tkzvltetr.js","/_next/static/chunks/121~yigv24_j6.js","/_next/static/chunks/0a~e7k..h6jfc.js","/_next/static/chunks/0za7dr7c2y81~.js","/_next/static/chunks/03klviw01y.ih.js","/_next/static/chunks/0gx_3vy1-syt4.js","/_next/static/chunks/0i6hzvr84kc1r.js"],"SignupCTA"] 3f:["$","h1",null,{"className":"max-w-[22ch] font-display text-[clamp(32px,4.5vw,48px)] font-medium leading-[1.05] tracking-[-0.02em] text-[color:var(--fg-1)] text-balance","children":"From Chaos to Clarity in Data with Malinka Walaliyadde"}] 40:["$","div",null,{"className":"flex flex-wrap items-center gap-x-4 gap-y-1 font-mono text-[12px] uppercase tracking-[0.1em] text-[color:var(--fg-3)]","children":[["$","time",null,{"dateTime":"2025-06-10T07:00:00.000Z","children":"June 10, 2025"}],["$","span",null,{"aria-hidden":true,"children":"·"}],["$","span",null,{"children":"00:23:23"}],false]}] 41:["$","p",null,{"className":"max-w-[60ch] text-[18px] leading-[1.5] text-[color:var(--fg-2)]","children":"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."}] 48:T438,

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:

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