Healthcare does not just have a care delivery problem. It has a payment problem.

In this episode of Boombostic Health, Bradley Bostic sits down with Nitesh Shroff, CEO and co-founder of Arintra, live from ViVE, to discuss how AI is being used to tackle one of healthcare's most painful and overlooked challenges: revenue cycle management.

Arintra's origin story started with a shocking $19,000 hospital bill caused by a coding error. That experience exposed how fragile, confusing, and expensive healthcare billing can be for patients and providers — and led Nitesh and his co-founder to build an AI-powered approach designed to make healthcare payments more accurate, transparent, and efficient.

Nitesh explains how Arintra uses explainable AI, clinical and financial agents, and human-in-the-loop learning to automate medical coding, prevent denials, support prior authorization, and help health systems get paid accurately and on time. The company's technology works directly inside EHR workflows, including Epic and athenahealth, helping reduce friction for providers while improving trust and adoption.

This conversation goes beyond automation hype. It explores why revenue cycle has become mission-critical for health systems, why denials keep increasing, why the supply of skilled coders cannot keep pace, and why explainability may be the key to making AI work safely in healthcare.

In this episode: 00:00 — Live from ViVE with Nitesh Shroff of Arintra 01:36 — The $19,000 hospital bill that sparked Arintra's mission 04:22 — How explainable AI agents understand clinical and financial context 06:58 — Applying safety-first AI lessons from self-driving cars to healthcare 07:57 — Why documentation, coding, and payment must all align 09:04 — How customer pain points guide Arintra's roadmap 10:07 — The ROI opportunity for health systems 11:23 — Why revenue cycle complexity and denials are accelerating 12:38 — What better billing accuracy means for patients 14:58 — The future of prior authorization, compliance, and payment transparency

Healthcare revenue cycle is often treated as a back-office function. But as Nitesh and Bradley discuss, it is the financial lifeblood of healthcare — and one of the places where AI may create immediate, measurable impact.

Watch the full conversation to hear how Arintra is helping health systems reduce complexity, improve accuracy, and bring more trust into one of healthcare's most broken systems.

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