Nexustria provides a voice‑first AI intake assistant for emergency departments and urgent‑care clinics that conducts multilingual, real‑time patient interviews, transcribes and extracts clinical data, and delivers structured summaries to existing EHRs via FHIR APIs. The solution eliminates manual form entry, reduces triage time, and integrates securely with HIPAA‑compliant standards.
Funding
Funding not disclosed
Founders
Product
Problem
Emergency departments and urgent‑care clinics often rely on manual, paper‑based or fragmented digital forms for patient intake, leading to incomplete histories, language‑related misunderstandings, and prolonged triage times. Staff must split attention between questioning patients and documenting answers, which creates bottlenecks during peak volumes.
Solution
Nexustria delivers a voice‑first AI intake assistant that engages patients in a natural conversation, captures their responses in real time, and converts the dialogue into a structured, machine‑readable summary. The system supports multiple languages and uses automatic speech recognition combined with clinical‑grade natural‑language processing to extract key symptoms, medical history, and demographic data. Summaries are transmitted securely to the provider’s existing electronic health record (EHR) via standard APIs, eliminating the need for new user interfaces or manual data entry. By front‑loading accurate information before the clinician enters the room, Nexustria reduces repetitive questioning, shortens triage cycles, and improves overall operational flow without altering clinical decision‑making processes.
Target Audience
Primary customers are emergency departments, urgent‑care centers, and hospital systems that need faster, more reliable patient intake at scale.
Features
- Real‑time speech‑to‑text engine optimized for medical terminology and ambient clinic noise
- Multilingual NLP models that automatically detect language and switch prompts accordingly
- Clinical entity extraction that maps spoken answers to standardized codes (e.g., SNOMED‑CT, LOINC) for seamless EHR ingestion
- FHIR‑compatible API layer for bidirectional integration with major EHR platforms (Epic, Cerner, etc.)
- End‑to‑end encryption and HIPAA‑compliant data storage with role‑based access controls
- No‑touch UI: patients interact solely via voice, removing the need for keyboards or touchscreen forms
- Adaptive dialogue flow that skips irrelevant questions based on prior answers, minimizing interview length