Ambience Healthcare has introduced an AI-driven Conditions Advisor designed to expand its support for inpatient care, aiming to assist clinicians in identifying and documenting patient complexity at the point of care.

According to the company, this capability will enhance decision-making and promote comprehensive care.

The Conditions Advisor is engineered to fit within existing inpatient workflows and analyses entire records of the patients, as well as drawing on hospital and external data sources to highlight clinical signals and evidence that may indicate overlooked diagnoses.

By presenting the evidence during care, the tool supports clinicians in delivering thorough treatment while generating documentation that represents patient complexity.

Ambience Healthcare chief medical officer Will Morris said: “Today's clinicians need to capture not just the principal diagnosis for admission, but all conditions impacting the health and well-being of the patient.

"Clinicians are managing complex conditions, but don't always have time to review extensive chart data. Our goal is to help them deliver better care by bringing the most relevant clinical information to their attention.”

The solution is designed to be integrated into hospital admission processes without interrupting clinician workflows.

It preserves clinician autonomy by enabling healthcare professionals in managing, assessing, and treating secondary conditions while retaining full control over decision-making.

The Conditions Advisor has also been developed with a compliance-focused approach, aligning with documentation workflows and adhering to standards set by the Association of Clinical Documentation Integrity Specialists (ACDIS), American Health Information Management Association (AHIMA), and national guidelines.

Ambience Healthcare co-founder and CEO Nikhil Buduma said: "When we help clinicians capture complete diagnoses at the point of care, everyone benefits—patients receive better care, clinicians make more informed decisions, care teams coordinate more effectively, and the clinical record accurately reflects true patient complexity.

“This is how true health outcomes are achieved and measured, and how patient safety and quality are properly attributed."