noa.triumphsystems.tech

{
  "name": "client_get_active_session",
  "kind": "answer",
  "impl": "imperative",
  "description": "Returns the current active consultation session state from browser memory.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  },
  "page": "/"
}

{
  "name": "client_start_recording",
  "kind": "act",
  "impl": "imperative",
  "description": "Starts audio recording on the client session store.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  },
  "page": "/"
}

{
  "name": "client_stop_recording",
  "kind": "act",
  "impl": "imperative",
  "description": "Stops audio recording on the client session store.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  },
  "page": "/"
}

{
  "name": "client_append_transcript",
  "kind": "act",
  "impl": "imperative",
  "description": "Appends or replaces transcript text in the active client consultation session.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "text": {
        "type": "string",
        "description": "Transcript text chunk to append."
      }
    },
    "required": [
      "text"
    ]
  },
  "page": "/"
}

{
  "name": "generate_soap_note",
  "kind": "act",
  "impl": "imperative",
  "description": "Converts a medical consultation transcript into a structured clinical SOAP note (Subjective, Objective, Assessment, Plan) using AWS Nova.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "transcript": {
        "type": "string",
        "description": "The raw doctor-patient consultation transcript or conversation history."
      },
      "patientContext": {
        "type": "string",
        "description": "Optional clinical context, known past medical history, or patient demographics."
      }
    },
    "required": [
      "transcript"
    ]
  },
  "page": "/"
}

{
  "name": "generate_clinical_insights",
  "kind": "act",
  "impl": "imperative",
  "description": "Analyzes patient medical history and current presentation to generate clinical considerations, differential diagnoses, and diagnostic recommendations.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "patientHistory": {
        "type": "string",
        "description": "Relevant past medical, surgical, family, and medication history."
      },
      "currentPresentation": {
        "type": "string",
        "description": "Current symptoms, chief complaint, and physical exam findings."
      },
      "previousFindings": {
        "type": "string",
        "description": "Optional previous lab results, imaging reports, or consultation notes."
      }
    },
    "required": [
      "patientHistory",
      "currentPresentation"
    ]
  },
  "page": "/"
}

{
  "name": "generate_patient_summary",
  "kind": "act",
  "impl": "imperative",
  "description": "Converts complex clinical SOAP notes into an empathetic, easy-to-understand plain language patient summary.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "soapNote": {
        "type": "string",
        "description": "The complete clinical SOAP note text."
      },
      "clinicalTerms": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Optional specific medical terms to explain clearly in parentheses."
      }
    },
    "required": [
      "soapNote"
    ]
  },
  "page": "/"
}

{
  "name": "generate_triage_priority",
  "kind": "act",
  "impl": "imperative",
  "description": "Evaluates patient chief complaint and acute symptoms to assign an emergency triage priority (emergent, urgent, routine).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "chiefComplaint": {
        "type": "string",
        "description": "The primary symptom or reason the patient is seeking care."
      },
      "symptoms": {
        "type": "string",
        "description": "Associated symptoms, onset, duration, and severity."
      },
      "vitalSigns": {
        "type": "string",
        "description": "Optional recorded vital signs (BP, HR, RR, Temp, SpO2)."
      }
    },
    "required": [
      "chiefComplaint",
      "symptoms"
    ]
  },
  "page": "/"
}

{
  "name": "generate_care_plan",
  "kind": "act",
  "impl": "imperative",
  "description": "Generates a comprehensive clinical follow-up care plan including appointment cadence, monitoring parameters, and red-flag escalation instructions.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "assessment": {
        "type": "string",
        "description": "Clinical diagnosis or assessment summary."
      },
      "medications": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "List of prescribed or active medications."
      },
      "procedures": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Optional procedures performed or planned."
      }
    },
    "required": [
      "assessment",
      "medications"
    ]
  },
  "page": "/"
}

{
  "name": "get_clinical_suggestions",
  "kind": "answer",
  "impl": "imperative",
  "description": "Provides real-time clinical decision support suggestions and inquiry prompts for the attending doctor during an active consultation.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "transcript": {
        "type": "string",
        "description": "The recent consultation dialogue transcript."
      },
      "patientHistory": {
        "type": "string",
        "description": "Patient medical background."
      },
      "currentSymptoms": {
        "type": "string",
        "description": "Observed or reported symptoms."
      }
    },
    "required": [
      "transcript",
      "patientHistory",
      "currentSymptoms"
    ]
  },
  "page": "/"
}

{
  "name": "analyze_sentiment",
  "kind": "act",
  "impl": "imperative",
  "description": "Analyzes consultation dialogue for patient sentiment, distress levels, clinical urgency, and red-flag conversational markers.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "transcript": {
        "type": "string",
        "description": "The dialogue transcript to analyze."
      }
    },
    "required": [
      "transcript"
    ]
  },
  "page": "/"
}

{
  "name": "process_intake_turn",
  "kind": "act",
  "impl": "imperative",
  "description": "Processes a conversational medical intake turn: parses user response, extracts demographic/clinical fields, detects language, and determines next question or completion.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "transcript": {
        "type": "string",
        "description": "The user speech transcript from the latest intake turn."
      },
      "language": {
        "type": "string",
        "description": "The preferred language code or name (e.g. English, Spanish, French). Default: English."
      },
      "history": {
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "role": {
              "type": "string",
              "enum": [
                "assistant",
                "patient",
                "system"
              ]
            },
            "content": {
              "type": "string"
            },
            "timestamp": {
              "type": "number"
            }
          },
          "required": [
            "role",
            "content"
          ]
        },
        "description": "Previous messages exchanged in the intake conversation."
      },
      "draft": {
        "type": "object",
        "description": "Current accumulated intake draft (demographics, medications, allergies, conditions)."
      }
    },
    "required": [
      "transcript"
    ]
  },
  "page": "/"
}

{
  "name": "get_patient_by_id",
  "kind": "answer",
  "impl": "imperative",
  "description": "Retrieves patient record including demographics, conditions, medications, and allergies by patient ID.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "patientId": {
        "type": "string",
        "description": "Unique identifier of the patient."
      }
    },
    "required": [
      "patientId"
    ]
  },
  "page": "/"
}

{
  "name": "list_doctor_patients",
  "kind": "answer",
  "impl": "imperative",
  "description": "Retrieves all registered patients associated with a specific doctor.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "doctorId": {
        "type": "string",
        "description": "Unique identifier of the doctor."
      }
    },
    "required": [
      "doctorId"
    ]
  },
  "page": "/"
}

{
  "name": "get_doctor_by_id",
  "kind": "answer",
  "impl": "imperative",
  "description": "Retrieves a doctor profile by doctor ID.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "doctorId": {
        "type": "string",
        "description": "Unique identifier of the doctor."
      }
    },
    "required": [
      "doctorId"
    ]
  },
  "page": "/"
}

{
  "name": "get_session_by_id",
  "kind": "answer",
  "impl": "imperative",
  "description": "Retrieves consultation session record by session ID.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "sessionId": {
        "type": "string",
        "description": "Unique identifier of the consultation session."
      }
    },
    "required": [
      "sessionId"
    ]
  },
  "page": "/"
}

{
  "name": "list_doctor_sessions",
  "kind": "answer",
  "impl": "imperative",
  "description": "Lists all consultation sessions conducted by a specific doctor.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "doctorId": {
        "type": "string",
        "description": "Doctor ID."
      },
      "limit": {
        "type": "number",
        "description": "Maximum sessions to return (default 20)."
      }
    },
    "required": [
      "doctorId"
    ]
  },
  "page": "/"
}

{
  "name": "list_patient_sessions",
  "kind": "answer",
  "impl": "imperative",
  "description": "Lists all consultation sessions associated with a specific patient.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "patientId": {
        "type": "string",
        "description": "Patient ID."
      }
    },
    "required": [
      "patientId"
    ]
  },
  "page": "/"
}

{
  "name": "get_patient_intake",
  "kind": "answer",
  "impl": "imperative",
  "description": "Retrieves completed intake questionnaire data for a patient.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "patientId": {
        "type": "string",
        "description": "Patient ID."
      }
    },
    "required": [
      "patientId"
    ]
  },
  "page": "/"
}

{
  "name": "generate_follow_up_plan",
  "kind": "act",
  "impl": "imperative",
  "description": "Builds a comprehensive clinical follow-up care plan, patient instructions, red flag warnings, and scheduled check-ins.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "assessment": {
        "type": "string",
        "description": "Clinical assessment or diagnosis."
      },
      "medications": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Prescribed or active medications."
      },
      "procedures": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Procedures, labs, or diagnostic tests ordered."
      }
    },
    "required": [
      "assessment",
      "medications"
    ]
  },
  "page": "/intake"
}

{
  "name": "analyze_session_sentiment",
  "kind": "act",
  "impl": "imperative",
  "description": "Analyzes consultation conversation for patient emotional sentiment, clinical urgency, and red flags.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "transcript": {
        "type": "string",
        "description": "Transcript text to evaluate for clinical urgency and sentiment."
      }
    },
    "required": [
      "transcript"
    ]
  },
  "page": "/intake"
}

{
  "name": "transcribe_consultation_audio",
  "kind": "act",
  "impl": "imperative",
  "description": "Transcribes consultation audio data for a given session ID (AWS Transcribe Medical integration).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "sessionId": {
        "type": "string",
        "description": "The consultation session ID associated with this recording."
      },
      "audioBase64": {
        "type": "string",
        "description": "Base64-encoded audio data (WAV/PCM/MP3)."
      }
    },
    "required": [
      "sessionId",
      "audioBase64"
    ]
  },
  "page": "/intake"
}