Main features
Consultation context
The chat has access to the current consultation context:- Real-time transcription: Information from the ongoing doctor-patient conversation
- Patient data: Information provided through the
patientDataproperty - Current documentation: Notes and findings from the present consultation
Assistant capabilities
Contextualized responses
Provides specific medical information based on the patient’s context and current consultation.
Clinical reasoning
Uses specialized agents to assist in differential diagnosis, coding, and clinical verification.
Consultation integration
Knows the current context: symptoms, examinations, and findings from the ongoing session.
Medical sources
Accesses medical knowledge sources configured in the system.
Basic configuration
Chat enabled by default
Clinical chat is available by default when SofIA SDK is configured with the basic required properties.Chat-only mode
For cases where only the conversational assistant is required without audio transcription, theisonlychat property can be used:
- Purpose: Quick consultations without audio processing
- Simplified interface: Only chat functionality
- Lower resource consumption: No audio processing
Typical use cases
Differential diagnosis queries
The chat can assist when the professional needs to explore possible diagnoses based on symptoms and findings observed during the consultation.Treatment verification
Provides information about therapeutic options considering the patient’s specific context, their background, and current medication.Coding queries
Assists in identifying appropriate medical codes (ICD-10, SNOMED CT, LOINC) based on diagnoses and procedures performed.Interaction information
Helps identify possible drug interactions or contraindications considering the patient’s current medication.Specialized agents
Clinical reasoning agent
Processes medical queries using specialized knowledge in clinical domains to provide relevant and contextualized responses.Coding agent
Specialized in standard medical terminologies, assists in identifying and verifying appropriate medical codes.Review agent
Validates the clinical coherence of responses and reduces the possibility of incorrect or inconsistent information.Best practices for use
Effective query formulation
- Be specific: Include relevant details of the current case
- Contextualize: Mention pertinent patient background
- Focus the question: Formulate concrete and targeted queries
- Consider context: Leverage that the system knows the current consultation
Information verification
- Independent validation: Verify important recommendations with institutional protocols
- Medical criteria: Maintain clinical judgment as the final decision
- Additional sources: Consult other sources when necessary
- Documentation: Record assistant use when appropriate
Privacy management
- Minimum necessary information: Only include data relevant to the consultation
- Confidentiality: Respect patient privacy in interactions
- Contextual data: Use information already available in
patientData
Important limitations
Assistant role
- Does not replace clinical judgment: It is an informational support tool
- Does not make diagnoses: Provides information to support decision-making
- Context dependent: Quality depends on available information
- Requires validation: Suggestions must be evaluated by the professional
Technical considerations
- Source availability: Responses depend on configured knowledge sources
- Context limitations: May not have access to all relevant clinical information
- Specialization: Better performance in areas with more specific sources
- Updates: Information may not reflect the most recent developments
Professional responsibilities
- Final clinical decision: The professional maintains complete responsibility for medical decisions
- Critical validation: Verify important information with institutional sources
- Complete context: Consider factors the system may not know
- Professional ethics: Maintain ethical standards of medical practice
Workflow integration
During consultation
The chat can be used naturally during patient care for quick queries that support real-time decision-making.Post-consultation documentation
Chat responses can inform clinical documentation, but always under professional supervision and validation.Case follow-up
The assistant can help in continuity of care by providing context from previous consultations when available.Quality and safety
Implemented safety measures
- Query filtering: The system identifies and filters inappropriate queries
- Confidence levels: Responses include certainty indicators
- Automatic review: Validation by specialized agents before providing responses
- Limitation alerts: Notification when available information is insufficient
Quality indicators
- Contextual relevance: Responses adapt to the specific context of the case
- Clinical coherence: Verification of medical logic in responses
- Reliable sources: Use of established medical literature and clinical guidelines
- Continuous updating: Constant improvement based on feedback and new sources
Next steps
- Automation: Explore how to integrate chat responses into automatic workflows
- Optional properties: Configure advanced options like
isonlychat