Smarter Codes, Faster Reimbursements: Suki’s AI Boosts Revenue Cycle

Suki, the leader in artificial intelligence (AI) technology for healthcare, today announced the expansion of its assisted revenue cycle capabilities powered by advanced ambient clinical intelligence models that significantly enhance documentation accuracy. Building on its ability to generate ICD-10 and HCC codes from ambient listening, Suki now extends its solution to automatically produce CPT and E/M codes with greater specificity and automation. Customers have already seen a 48 percent reduction in amended encounters, accelerating reimbursement times—a critical advantage for financially constrained health systems. The result is more complete, compliant documentation that streamlines billing, improves coding accuracy, and maximizes reimbursements.

Revenue cycle inefficiencies cost healthcare providers billions annually, with 20 percent of claims denied and most never resubmitted. Accurate coding remains a major challenge, requiring clinicians or staff to manually review notes and decision-making for every visit. This time-consuming process is prone to human error, as clinicians often default to familiar but less specific codes—leading to missed reimbursements, compliance risks, and recurring revenue loss.

Suki’s expanded AI-enabled coding solution automates ICD-10, HCC, CPT, and E/M code generation. After each ambient session, it produces the most specific and clinically accurate documentation, complete with explanations and options for review before submission. Once notes are sent to the EHR, codes are instantly updated, turning conversations into structured, billable data. Early client results show level 4 visits increased by 3.8 percent, yielding an average net gain of $379 per clinician per month after subscription costs.

The new coding models address common post-visit challenges such as queries, denials, and lost revenue. Suki selects the most specific ICD-10 codes mapped to HCC codes for accurate risk adjustment, generates CPT codes linked to diagnoses to justify medical necessity, and recommends E/M codes with supporting rationale to strengthen compliance. This high-fidelity code generation captures the full complexity of care, reduces revenue leakage, and accelerates payer review.

By delivering exceptional precision in ICD-10 and E/M code assignments, Suki’s ambient clinical intelligence gives clinicians peace of mind that their documentation is complete, compliant, and auditable. “Accurate coding has been a constant challenge for clinicians, taking time away from patients and exposing health systems to avoidable denials,” said Punit Soni, CEO and Founder of Suki. “Our new capabilities let Suki do the heavy lifting—proposing the right codes, explaining the rationale, and moving them into the record—so organizations experience fewer errors and denials, stronger compliance, and better reimbursement. Most importantly, clinicians gain back time to focus on care.”

Suki will roll out its enhanced coding capabilities across partners this Fall. For clinicians in non-integrated EHR environments, the solution will be accessible via any browser or platform, allowing easy copy-and-paste of generated codes so providers across all EHRs can benefit from improved documentation accuracy and faster reimbursements.

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