Ambience Healthcare

Listens to patient-provider conversations in real time and generates structured, specialty-specific clinical notes across 30+ medical disciplines without requiring templates, keywords, or dictation commands. The system uses natural language understanding tuned for medical terminology to produce notes in standard formats including HPI, physical exam, assessment, and plan sections — adapting documentation style to each specialty's conventions and the health system's preferred templates.

Integrates the patient's full EHR history — prior encounters, lab results, imaging reports, medication lists, problem lists, and active care plans — into the documentation generation process. Rather than treating each visit as an isolated transcription event, Chart Awareness enables the AI to reference previous findings, track trends across visits, and generate notes that reflect clinical continuity, supporting both quality of care and accurate coding.

Analyzes clinical documentation in real time to suggest appropriate ICD-10 and CPT codes, flag documentation gaps that could lead to coding downgrades, and generate clinical documentation improvement queries. This reduces manual coding workload, improves billing accuracy, and helps capture revenue that would otherwise be lost to undercoding or claim denials caused by insufficient documentation.

Goes beyond passive note insertion to create two-way communication with Epic, Cerner, and athenahealth systems. The integration enables AI-driven features like automated order entry suggestions based on documented findings, medication reconciliation triggers, and clinical decision support alerts — embedding Ambience directly into existing clinical workflows rather than operating as a standalone tool that requires manual data transfer.

Automatically generates patient-facing after-visit summaries in plain language and drafts specialty referral letters immediately following the clinical encounter. AutoAVS translates clinical findings into patient-understandable instructions covering diagnoses, medications, follow-up steps, and warning signs, while AutoRefer produces structured referral communications that include relevant history, clinical rationale, and requested services — eliminating two of the most time-consuming post-visit administrative tasks.