Introduces New Model That Delivers Greater Coding Precision and Automation to Reduce Errors, Accelerate Payments, and Close the Loop Between Care and Revenue

Suki, the leader in artificial intelligence (AI) technology for healthcare, today announced its expansion of assisted revenue cycle capabilities powered by ambient clinical intelligence models that significantly improve a clinician’s documentation accuracy. Building on its existing ability to generate ICD-10 and HCC codes from ambient listening, Suki now extends its ambient clinical intelligence solution to deliver even greater automation, specificity, and generate additional codes, including CPT and E/M codes. To date, customers have already experienced a 48 percent reduction in amended encounters through the use of Suki, speeding up the time to reimbursement, a critical measure for cash-strapped health systems. As a result, health systems now have even more complete and compliant documentation with supporting evidence to streamline billing, improve coding accuracy, and maximize reimbursements.

Revenue cycle inefficiencies cost healthcare providers billions of dollars annually, with 20 percent of all claims denied and nearly two-thirds of those denials never resubmitted. Accurate coding is a persistent challenge for healthcare systems, as it requires clinicians, back office staff, and/or hired coders to carefully assess clinical notes, patient interactions, and the complexity of decision-making for every visit. The process is time-consuming and costly, and it’s prone to human error: clinicians often enter codes on the fly and default to familiar but less specific codes, which can lead to missed reimbursements, compliance issues, denials, and a persistent cycle of lost revenue.

With Suki’s expanded AI-enabled coding solution, clinicians now benefit from automated generation of ICD-10, HCC, CPT, and E/M codes. After each ambient session, Suki generates the most specific and clinically accurate documentation, providing explanations for codes and the option for review or adjustment before submission. Once a note is sent to the EHR, the codes are updated instantly, transforming data at the point of care into structured, billable information. Client data shows level 4 visits increased by 3.8%, producing an estimated average net gain of $379 per clinician per month after subscription costs by using Suki.

Suki’s new coding models address some of the most common sources of post-visit strain, including queries, claim denials and lost revenue by automatically generating codes:

• ICD-10 codes with mapped HCC codes: Selects the most specific ICD-10 codes, providing precise diagnoses (e.g., Type 2 diabetes with [complication] vs. diabetes, unspecified) to capture associated HCC codes and ensure accurate risk adjustment.
• CPT codes mapped to diagnoses: Produces CPT codes linked to the appropriate diagnoses, justifying medical necessity and reducing the risk of denials.
• E/M codes with explanations: Recommends E/M codes with supporting rationale to strengthen the audit trail and support compliance.

Suki’s ambient clinical intelligence delivers a powerful financial advantage by achieving exceptional precision in ICD-10 and E/M code assignments, allowing clinicians to capture the full, justifiable complexity of care and significantly reduce revenue leakage. This high-fidelity code generation accelerates payer review and reduces denials while ensuring every submitted claim is fully compliant and auditable. These enhancements, combined with strengthened note quality and revenue capture, give clinicians peace of mind that their documentation fully supports accurate reimbursement.

“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 see fewer errors and denials, stronger compliance, and better reimbursement. Most importantly, clinicians get time back and peace of mind to focus on care.”

Suki will begin rolling out its latest coding capabilities across partners this Fall. For clinicians in non-integrated EHR environments, the solution will be accessible in Suki on any browser or platform, allowing copy-and-paste of generated codes – so providers across all EHRs can see improved revenue cycle benefits.

About Suki

Suki is a leading technology company building presence at the heart of care through its Ambient Clinical Intelligence (ACI) layer. Unlike add-on tools, Suki’s ACI is embedded at the point of care, powering documentation, revenue cycle management, and clinical reasoning so clinicians can focus on what matters most. Suki for Clinicians delivers an intuitive comprehensive assistant used across major EHRs and care settings, returning time to clinicians, while Suki for Partners provides a developer toolkit with SDK and APIs for healthtech companies to embed ACI directly into their products, accelerating innovation and interoperability. Health systems, clinicians, and patients experience higher quality, greater efficiency, faster reimbursement, and less friction; on average, Suki drives an 81% increase in practice satisfaction and delivers $1,688 in incremental monthly revenue per user. Suki is backed by Venrock, First Round, Flare Capital Partners, March Capital, and Hedosophia. Learn more at suki.ai, and follow Suki on LinkedIn.

View source version on businesswire.com: https://www.businesswire.com/news/home/20251020037165/en/