Ambience Healthcare launches chart-aware inpatient AI suite to resolve 91% of documentation gaps. What you should know. * Clinical AI leader Ambience Healthcare has announced a major expansion of its chart-aware intelligence across its enterprise inpatient platform, embedding deep chart reasoning into every phase of a hospital stay. * Inpatient documentation relies heavily on non-conversational metrics; Ambience's internal data shows that 70% of clinically important inpatient diagnoses have no signal in a traditional audio transcript. * The platform addresses severe provider cognitive load by automatically parsing longitudinal histories, daily labs, imaging updates, medications, and vitals to construct source-backed Progress Notes, H&P Notes, and Handoff Summaries. * In multi-center evaluations across four health systems, Ambience's chart-aware discharge summaries resolved 91% of information gaps that traditional, standard documentation pipelines had missed. * Deployed at organizations like Saint Luke's Health System, the solution has driven an active utilization rate exceeding 70% across core inpatient charting workflows while elevating provider Net Promoter Scores (NPS) by 31 points. Beyond the transcript: Ambience Healthcare unveils inpatient AI that reasons outside the bedside recording. The modern inpatient hospital ward operates under an immense, structural data squeeze. Unlike outpatient clinics - where patient interactions are typically episodic, isolated, and highly conversational - inpatient medicine is inherently continuous, fluid, and profoundly complex. Hospitalists routinely manage 15 to 20 highly acute patients simultaneously. Each individual's clinical trajectory is dictated by a massive, fluctuating stream of day-over-day changes: shifting laboratory values, real-time vital tracking, new diagnostic imaging results, complex medication updates, and continuous clinical orders. The cognitive load required to manually process and synthesize this unceasing data burden is staggering. Faced with severe time constraints and fragmented shift handoffs, clinical teams frequently default to the dangerous practice of "carrying yesterday's note forward." This manual duplication saves immediate time but strips away critical medical context as a patient moves between departments and care teams. When documentation is incomplete or decoupled from the real-world trajectory of the patient, critical care gaps emerge. Most critically for the hospital enterprise, this data fragmentation means diagnoses are under-captured, preventing health systems from translating complex care into accurate billable codes and severely limiting revenue integrity. To eliminate this documentation crisis and transition hospital medicine into an automated system of action, clinical AI pioneer Ambience Healthcare has announced a major expansion of its chart-aware intelligence across its inpatient platform. By moving past standard ambient technologies that rely strictly on audio recordings, Ambience embeds deep chart reasoning into the entire inpatient arc - ensuring that documentation accurately reflects patient complexity and health systems capture the exact revenue they have earned. Eradicating the outpatient bias in acute care environments. The fundamental limitation of first-generation ambient medical AI is that it was engineered almost exclusively for outpatient care models. In a typical clinic setting, the software operates under a simple framework: a provider enters an exam room, records a conversation with a patient, and an algorithm translates that transcript into a standard clinical summary. In acute inpatient medicine, this model breaks down completely. In roughly half of all inpatient encounters, there is no active conversation to record. Even when a bedside dialogue does occur, the critical clinical variables that actually drive documentation and treatment - such as an overnight drop in hemoglobin or a targeted change in an IV medication dose - are executed entirely outside the speech transcript. Ambience's analysis confirms the severe shortfall of audio-only approaches, revealing that 70% of clinically important inpatient diagnoses have no signal in the spoken transcript. For high-stakes conditions that dictate corporate coding and financial reimbursement, that blind spot is even wider. Ambience solves this structural limitation by engineering its AI to read, reason, and continuously monitor the patient's complete electronic health record (EHR). Dr. Michael Han, Chief Medical Officer at Ambience Healthcare, noted that hospitalists have historically lacked tools built for their true day-to-day workflows. Because the overwhelming majority of what drives inpatient charting never enters an audible conversation, bringing chart-aware intelligence across the entire hospital stay ensures clinicians possess a holistic view of their patients - whether or not an audio recording is ever captured. The platform embeds this comprehensive chart awareness across five core technical pillars: * Patient Summary: Instantly compiles a patient's longitudinal medical history, allowing hospitalists to rapidly orient themselves before stepping into a room. * History and Physical (H&P) Notes: Dynamically synthesizes bedside interactions with months of background chart data to build compliant, comprehensive intake documentation. * Real-Time Triage & Diagnoses: Surfaces missed clinical conditions and provides precise ICD-10 coding recommendations backed by objective, verifiable chart evidence. * Progress Notes: Replaces the legacy copy-forward trap by automatically building each day's note from the previous day's record combined with real-time laboratory, medication, and vital updates. * Handoff & Discharge Summaries: Maintains a continuous synthesis of the hospital stay to enable clean clinical transitions, generating a complete, auditable discharge summary with a single click. Validated performance and widespread clinician trust. The operational metrics surrounding Ambience's inpatient deployment demonstrate a massive leap in data fidelity and provider satisfaction. In evaluations conducted across 66 distinct encounters at four major health systems, the platform's chart-aware discharge summaries successfully resolved 91% of information gaps that standard documentation workflows had completely missed. This high level of accuracy has driven rapid enterprise adoption. At Saint Luke's Health System, provider utilization across H&P notes, daily progress notes, and discharge summaries has soared past 70%, while the organization's Net Promoter Score (NPS) surged by 31 points. To maintain this clinical trust, nearly 20% of Ambience's internal workforce is composed of active or trained medical clinicians who are directly embedded within model training, product development, and validation pipelines. This continuous co-design ensures the software functions as a safe, intuitive asset that clinicians trust and rely on daily.

Ambience Healthcare, a clinical documentation and revenue integrity AI platform, has appointed Michael Han, MD, MBA as Chief Medical Officer. Dr Han will lead the company's clinical strategy as it expands beyond ambient documentation into broader AI applications for clinical workflow, revenue integrity and operational performance. Dr Han brings over 20 years of experience, most recently serving as Enterprise Chief Medical Information Officer at MultiCare Health System. He is board certified in urology and clinical informatics, and holds degrees from Brown University, University of Michigan and Wharton School. The appointment follows Ambience's unveiling of its multi-year platform roadmap at the Apex Summit. Founded in 2020, the San Francisco-based company is backed by Oak HC/FT, Andreessen Horowitz, OpenAI Startup Fund and Kleiner Perkins.

Ambience launches AI nursing assistant to reduce documentation burden and improve clinical decision support. Published. April 16, 2026 Ambience has launched Chart Chat for Nursing, a new AI assistant designed to help nurses quickly access and interpret patient information within the electronic health record (EHR). Developed with input from frontline nurses, nursing informatics teams, and executives through the Ambience Nursing Council, the tool is already live at the Cleveland Clinic and is expanding to additional health systems. The company said the product addresses one of nursing's biggest operational challenges, which is the mental strain caused by fragmented patient data, constant task-switching, and the need to make rapid decisions across multiple patients. By allowing nurses to ask questions in plain language, Chart Chat retrieves and synthesizes notes, medications, diagnostics, and hospital policies in seconds, helping staff identify changes in patient status and prioritize care more efficiently. Ambience said the platform goes beyond search by offering contextual clinical guidance, such as interpreting abnormal results, identifying possible medication interactions, and clarifying diagnoses or care pathways. To support patient safety, Chart Chat uses a three-part oversight framework that includes pre-deployment testing, live response validation, and continuous nurse feedback. It also limits responses to clinical topics, flags uncertainty when information is incomplete, and attaches source citations to every answer so nurses can verify the underlying records.