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Precision Beyond Imaging

How a Texas Radiology Group Unlocked Additional $5M with Jindal Healthcare’s AI-Powered RCM

For this Texas-based multi-site radiology group, revenue cycle visibility was critical to combating inefficiencies resulting in an 18% denial rate and up to $300K in monthly revenue leaks.

Manual workflows, fragmented follow-ups, and reactive denial management had turned their collections into a guessing game—until Jindal Healthcare stepped in to give their revenue cycle the same precision their MRIs delivered every day.

With AI-powered RCM, the group identified the root causes behind their revenue leaks and re-engineered their revenue cycle to drive financial growth.

RCM Precision with AI That Saw Through Every Claim

Inside the Case Study, You’ll Learn How Jindal Healthcare:
Unlock this case study to see how Jindal Healthcare leverages AI to diagnose and fix revenue cycle gaps and build lasting RCM resilience for healthcare providers.

Impact at a Glance

36%

Increase in Monthly Collections

61%

Reduction in Denials

~15%

Improvement in Clean Claim Rate

1201 Louisiana Street, Suite 520, Houston, TX 77002

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