Domain ontologies

domain:
  id: healthcare
  name: Healthcare
  description: Patient care, clinical encounters, diagnoses, treatments, and provider networks
  tagline: "AI-powered Clinical Intelligence"
  emoji: "🏥"

entity_types:
  - label: Patient
    pole_type: PERSON
    subtype: PATIENT
    color: "#06b6d4"
    icon: user
    properties:
      - name: patient_id
        type: string
        required: true
        unique: true
      - name: name
        type: string
        required: true
      - name: date_of_birth
        type: date
      - name: blood_type
        type: string
        enum: ["A+", "A-", "B+", "B-", "AB+", "AB-", "O+", "O-"]

relationships:
  - type: DIAGNOSED_WITH
    source: Patient
    target: Diagnosis
  - type: TREATED_BY
    source: Patient
    target: Provider
  - type: OCCURRED_AT
    source: Encounter
    target: Facility

agent_tools:
  - name: get_patient_history
    description: Get comprehensive history for a patient
    cypher: |
      MATCH (p:Patient {patient_id: $patient_id})
      OPTIONAL MATCH (p)-[:HAD_ENCOUNTER]->(e:Encounter)-[:OCCURRED_AT]->(f:Facility)
      OPTIONAL MATCH (p)-[:DIAGNOSED_WITH]->(d:Diagnosis)
      OPTIONAL MATCH (e)-[:INCLUDES]->(t:Treatment)
      RETURN p, collect(DISTINCT e) AS encounters,
             collect(DISTINCT d) AS diagnoses,
             collect(DISTINCT t) AS treatments,
             collect(DISTINCT f) AS facilities
    parameters:
      - name: patient_id
        type: string
        description: Patient ID

system_prompt: |
  You are an AI clinical intelligence assistant with access to a comprehensive
  knowledge graph of healthcare data. You help clinicians, care coordinators,
  and medical staff analyze patient records, diagnoses, treatments, and
  provider networks.

  Always prioritize patient safety. Flag potential contraindications immediately.
  Provide evidence-based insights grounded in the clinical data available.

document_templates:
  - id: discharge_summary
    name: Discharge Summary
    description: Patient discharge summaries after hospital stays
    count: 8
    prompt_template: |
      Write a discharge summary for patient {{patient.name}} (ID: {{patient.patient_id}})
      discharged from {{facility.name}} on {{date}}.
    required_entities: [Patient, Provider, Facility, Diagnosis, Treatment]

decision_traces:
  - id: treatment_selection
    task: "Select appropriate treatment plan for {{patient.name}} diagnosed with {{diagnosis.name}}"
    steps:
      - thought: "Review patient history and current diagnoses"
        action: "Query patient entity graph including past encounters, diagnoses, and medications"
      - thought: "Check for medication contraindications and allergies"
        action: "Cross-reference proposed medications with patient allergies and current prescriptions"
    outcome_template: "Treatment plan: {{plan}}. Rationale: {{rationale}}"

demo_scenarios:
  - name: Patient Lookup
    prompts:
      - "Show me all patients with a chronic diagnosis"
      - "What medications are currently prescribed to patients in the cardiology department?"

visualization:
  node_colors:
    Patient: "#06b6d4"
    Provider: "#14b8a6"
    Diagnosis: "#ef4444"
  node_sizes:
    Patient: 25
    Provider: 25
    Facility: 30
  default_cypher: "MATCH (p:Patient)-[r]-(n) RETURN p, r, n LIMIT 100"