Ambience has announced the launch of its end-to-end AI platform designed for the complexities of inpatient medicine. The system uses comprehensive "chart awareness" to create a complete clinical picture from admission to discharge. This innovation aims to improve documentation quality, enhance patient care, and optimize operational efficiency for health systems.
Addressing Inpatient Documentation Challenges
Hospital medicine presents unique documentation challenges, with clinicians managing numerous patients with evolving conditions. Critical information is often scattered across various sources like lab results, imaging reports, and prior notes. This fragmentation creates a significant cognitive load and increases the risk of errors during care transitions.
The pressure of inpatient care often leads to clinicians copying forward previous notes, a practice that can perpetuate outdated information. Consequently, new lab values or medication changes may be omitted from the patient's current record. These documentation gaps can compromise patient handoffs between shifts and departments, impacting care continuity.
A Differentiated Approach to Clinical AI
Many existing AI tools are tailored for outpatient encounters, which primarily rely on analyzing a single patient conversation. This model is insufficient for inpatient scenarios where patients may be non-communicative or sedated. Ambience notes that non-conversational data from the chart often drives critical documentation and care decisions.
To overcome these limitations, Ambience developed its platform to read and reason over the patient's complete medical record. Instead of focusing on a single interaction, the system synthesizes data from labs, vitals, and prior notes. This approach is designed to provide clinicians with the full context necessary for accurate documentation.
An Integrated System for the Entire Hospital Stay
The enhanced platform offers a suite of tools that follow the patient's entire journey through the hospital. A new Patient Summary feature synthesizes a patient's history to help clinicians quickly orient themselves. This is complemented by tools that generate comprehensive History and Physical (H&P) notes using both conversations and chart data.
The system also surfaces potential missed diagnoses with supporting evidence and precise ICD-10 codes. Its progress notes are built dynamically from prior notes and real-time chart data, avoiding simple copy-paste issues. Finally, it generates Hospital Stay and Discharge Summaries, ensuring seamless and informed handoffs between care teams.
Demonstrating Tangible Impact and Adoption
The platform has shown promising results in clinical settings, indicating strong user adoption and value. At Saint Luke’s Health System, utilization of the tools for key documentation exceeded 70%, while Net Promoter Scores rose by 31 points. These figures suggest clinicians find the system genuinely useful in their daily workflows.
Further evaluations across four health systems highlighted the platform's ability to improve documentation completeness. The chart-aware discharge summaries successfully resolved 91% of information that was previously missing from these critical documents. This demonstrates a direct impact on reducing care gaps and improving the quality of the patient record.
Ambience's launch of its chart-aware inpatient platform marks a significant step toward solving documentation issues in hospitals. By providing a complete, synthesized view of the patient, the technology aims to reduce clinician burden and improve care quality. This connected infrastructure seeks to ensure patient records are trustworthy assets that lead to better outcomes.