diff --git a/backend/app/main.py b/backend/app/main.py
index a3f111a..f5ed355 100644
--- a/backend/app/main.py
+++ b/backend/app/main.py
@@ -68,7 +68,27 @@ def load_questions(language: str) -> QuestionsResponse:
     return QuestionsResponse(**raw)
 
 
-app = FastAPI(title="Triage-Fragen API", version="0.2.0")
+def load_flowcharts_config() -> List[Dict[str, Any]]:
+    """Load flowchart mapping configuration.
+
+    This maps chief-complaint codes (e.g. "chest_pain") to MTS
+    presenting flowchart codes (e.g. "CHEST_PAIN").
+    """
+
+    file_path = MTS_CONFIG_DIR / "flowcharts.json"
+    if not file_path.exists():
+        return []
+
+    with file_path.open("r", encoding="utf-8") as f:
+        raw: Dict[str, Any] = json.load(f)
+
+    flowcharts = raw.get("flowcharts", [])
+    if not isinstance(flowcharts, list):
+        return []
+    return flowcharts
+
+
+app = FastAPI(title="Triage-Fragen API", version="0.3.0")
 
 app.add_middleware(
     CORSMiddleware,
@@ -95,30 +115,76 @@ async def get_questions(language: str) -> QuestionsResponse:
 async def create_session(payload: SessionCreate) -> MtsPreparation:
     """Create a triage preparation proposal from the given answers.
 
-    For now this implements a very small ruleset as a walking skeleton
-    that we can refine step by step.
+    Aktuell wird bewusst nur ein kleiner, aber sinnvoller Ausschnitt
+    der Manchester-Triage-Logik abgebildet:
+
+    - Zuordnung von "chief_complaint" zu einem der konfigurierten
+      MTS-Präsentations-Flowcharts (10 Pfade in mts-config/flowcharts.json).
+    - Ableitung einfacher Red-Flag-Indikatoren wie "severe_pain" aus
+      der Schmerzskala.
+    - Grobe Prioritätsstufe, insbesondere für Hochrisiko-Flowcharts
+      wie Brustschmerz, Atemnot, Kollaps und Intoxikation.
     """
 
     session_id = "dummy-session-id"
 
+    # Antworten bequem zugreifbar machen
+    answers_by_code: Dict[str, Any] = {a.question_code: a.value for a in payload.answers}
+
+    # 1) Flowchart aus chief_complaint bestimmen (Daten-getrieben aus mts-config)
     flowchart: Optional[str] = None
+    flowcharts = load_flowcharts_config()
+
+    complaint_to_flowchart: Dict[str, str] = {}
+    for fc in flowcharts:
+        linked = fc.get("linked_chief_complaints") or []
+        if not isinstance(linked, list):
+            continue
+        for cc in linked:
+            # Erstes Mapping gewinnt; spätere Einträge überschreiben nicht
+            complaint_to_flowchart.setdefault(cc, fc.get("code"))
+
+    chief = answers_by_code.get("chief_complaint")
+    if isinstance(chief, str):
+        mapped = complaint_to_flowchart.get(chief)
+        if isinstance(mapped, str):
+            flowchart = mapped
+
+    # 2) Red-Flag-Indikatoren aus vorhandenen Antworten ableiten
     red_flags: List[str] = []
+    severe_pain = False
+
+    # Atemnot: vorgesehen für spätere UI-Erweiterung
+    if answers_by_code.get("breathlessness") is True:
+        red_flags.append("breathlessness")
+
+    pain_value = answers_by_code.get("pain_intensity")
+    if isinstance(pain_value, int):
+        if pain_value >= 8:
+            red_flags.append("severe_pain")
+            severe_pain = True
+        elif pain_value >= 5:
+            red_flags.append("moderate_pain")
+
+    # 3) Grobe Priorität abhängig vom Flowchart und den Red Flags
     priority: Optional[str] = None
 
-    for ans in payload.answers:
-        if ans.question_code == "chief_complaint" and ans.value == "chest_pain":
-            flowchart = "CHEST_PAIN"
-        if ans.question_code == "breathlessness" and ans.value is True:
-            red_flags.append("breathlessness")
-        if (
-            ans.question_code == "pain_intensity"
-            and isinstance(ans.value, int)
-            and ans.value >= 8
-        ):
-            red_flags.append("severe_pain")
+    high_risk_flowcharts = {
+        "CHEST_PAIN",
+        "SHORTNESS_OF_BREATH",
+        "COLLAPSED_ADULT",
+        "OVERDOSE_POISONING",
+    }
 
     if "breathlessness" in red_flags:
+        # Starke Atemnot ist immer hoch dringlich
         priority = "RED_OR_ORANGE"
+    elif severe_pain and flowchart in high_risk_flowcharts:
+        # Starke Schmerzen bei Hochrisiko-Präsentation → hohe Dringlichkeit
+        priority = "RED_OR_ORANGE"
+    elif severe_pain:
+        # Starke Schmerzen bei anderen Flowcharts → mindestens erhöhte Dringlichkeit
+        priority = "YELLOW_OR_ORANGE"
 
     return MtsPreparation(
         session_id=session_id,