Overview#
During a cardiac arrest on a busy urban roadside, a paramedic cannot pause compressions to tap fields into a tablet. The Hands-Free Clinical Co-Pilot listens continuously to the clinical environment, transcribes spoken narratives in real time, and responds to natural language voice commands, allowing the responder to document care and retrieve protocol guidance without touching a screen.
The module integrates directly with pre-hospital electronic patient care records, populating structured clinical fields as the responder speaks. This reduces documentation lag, lowers the risk of omission, and ensures timestamped intervention records are available to the receiving emergency department before the patient arrives.
Key Features#
- Continuous Ambient Transcription: Listens to clinical speech throughout a scene and produces a running narrative log without requiring a wake word for each utterance.
- Medical Entity Extraction: Identifies drugs, dosages, routes, procedures, and vital signs within free-form speech and maps them to structured fields using clinical NLP aligned with standard medical terminologies.
- Voice-Activated Protocol Queries: Responders can ask treatment or dosage questions in natural language and receive audible answers drawn from locally cached clinical guidelines.
- Real-Time Translation: Detects spoken foreign languages and provides instant translation to the responder as text or audio, supporting patient assessment without a remote interpreter.
- Advanced Noise Cancellation: Filters ambient noise including sirens, traffic, and crowd sounds to maintain transcription accuracy in hostile pre-hospital environments.
- Automatic ePCR Population: Extracted clinical events are inserted into the appropriate electronic patient care record fields with accurate timestamps, reducing post-incident data entry.
- Offline-Capable Operation: Core speech recognition and protocol lookup function without a live network connection, ensuring capability in areas with poor mobile coverage.
- Audit Trail: Every voice command and auto-populated entry is logged with the responder's identity and timestamp to support clinical governance and incident review.
Use Cases#
- Active Resuscitation: A medic verbalises each intervention during CPR and the co-pilot logs drugs, shocks, and rhythm observations with precise timestamps, producing a complete resuscitation record.
- Multi-lingual Patient Assessment: A responder assesses a patient who speaks a different language; the co-pilot translates the patient's responses in real time and relays the responder's questions back in the patient's language.
- Major Incident Triage: At a mass casualty event, multiple responders document independently by voice while the system aggregates triage data for command situational awareness.
- Medication Safety Check: Before administering a drug, a responder queries the co-pilot for contraindications or maximum dosage thresholds and receives an immediate audible confirmation.
- Handover Documentation: At hospital handover, the responder reviews and confirms the auto-populated ePCR rather than composing the record from memory, reducing handover time and error.
Integration#
The Hands-Free Clinical Co-Pilot is built natively into the mobile responder application and shares the same secure transport layer used for real-time incident dispatch and telemetry. Clinical entities extracted from voice are written directly into the pre-hospital electronic patient care record and, where the receiving facility supports it, are transmitted via HL7 FHIR messaging ahead of patient arrival. Protocol and dosage knowledge bases are maintained centrally by clinical governance teams and distributed to devices as versioned offline bundles, ensuring all responders operate from the same approved guidelines.
Open Standards#
- HL7 FHIR R4: Structured clinical observations, medication administration records, and patient demographics extracted by the co-pilot are serialised as FHIR resources for interoperability with hospital and national health information systems.
- SNOMED CT: Clinical NLP entity extraction maps drug names, procedures, and findings to SNOMED CT concept identifiers, ensuring semantic consistency across organisations.
- ICD-11 (WHO): Diagnostic impressions recorded by voice are linked to ICD-11 codes to support epidemiological reporting and clinical coding workflows.
- NENA i3 (NENA-STA-010): Pre-hospital data records are structured to align with next-generation emergency services data models for integration with NG9-1-1 and NG1-1-2 call-handling infrastructure.
- ETSI TS 103 479 (eCall / ERA-GLONASS): Location and incident telemetry accompanying voice-captured records conform to European automatic emergency call data standards.
- W3C Web Speech API: The voice input layer builds on the W3C Web Speech specification, enabling standards-based speech recognition on supported mobile platforms.
- OAuth 2.0 / OpenID Connect (RFC 6749 / RFC 8414): Responder authentication and device authorisation use industry-standard federated identity protocols, supporting single sign-on with national health identity schemes.
Availability#
- Enterprise Plan: Included
- Professional Plan: Available as an add-on module; contact your account team for clinical governance and onboarding requirements.
Last Reviewed: 2026-05-26