Ambience Healthcare Unveils AI-powered ICD-10 Coding Assistant for Inpatient Care

The system is designed to assist physicians in creating precise, compliant documentation of diagnosis during patient encounters and ensure accurate capture of clinical complexity and audit-ready data from the outset

Ambience Healthcare has introduced an advanced AI-driven ICD-10 Clinical Documentation Integrity (CDI) assistant designed specifically for inpatient care.

The system is built on OpenAI's GPT-5 in conjunction with Ambience's proprietary models. The platform aims to bridge the gap between clinical complexity and documentation accuracy.

The system is designed to assist physicians in creating precise, compliant documentation of diagnoses during patient encounters, which is expected to ensure accurate capture of clinical and audit-ready data from the outset.

Highlighting the current burden of clinical documentation, Mike Ng, president and chairman of Ambience Healthcare, said, "The inpatient setting is where the most complex patients are treated and where documentation is most burdensome.”

“By addressing CDI upstream, at the point of care, we’re helping hospitals create records that are accurate, audit-ready, and reflective of true clinical complexity,” he further added.

Key Features

The platform includes an Explainable Audit Trail, where every suggested diagnosis comes with a clinical rationale and supporting documentation references. Its Compliance-First Design incorporates built-in guardrails to ensure all suggestions adhere to CMS guidelines and audit requirements.

Further, the platform offers Workflow-Native Integration, embedding seamlessly into existing EHR workflows without disrupting clinician routines.

It provides real-time support for diagnostic specificity, Present on Admission (POA) designations, and complication tracking, which is expected to reduce retrospective documentation and enhance the accuracy of clinical records.

“This technology represents a fundamental shift in how clinical documentation supports both care delivery and compliance,” said Ray Chen, MD, Head of Clinical AI at Ambience Healthcare.

“By enabling accurate coding and diagnostic specificity at the point of care, we reduce administrative burden and ensure that the clinical story is faithfully captured — which translates into more informed treatment decisions, better continuity of care, and ultimately improved outcomes for patients.”

Earlier, it was reported that Ambience's platform is already in use across over 40 U.S. health systems, including the Cleveland Clinic, UCSF Health, Houston Methodist, and Memorial Hermann.

Reportedly, the company has recently secured $243 million in Series C funding, bringing its valuation to $1.25 billion.

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