Das Modul synthdiet.education enthält 15 fertige klinische
Szenarien: metabolisches Syndrom, betagte*r Patient*in mit COPD,
Gestationsdiabetes, chronische Niereninsuffizienz, Zöliakie, Anorexie,
Dyspepsie, Tumor-Kachexie usw.
from synthdiet.education import list_cases
print(list_cases())from synthdiet.education import get_case
case = get_case("t2dm_ht_dyslipidemia")
print(case.as_markdown())Markdown-Ausgabe enthält:
- Beratungsanlass und Anamnese,
- Patient*innenprofil (Demografie, BMI, Diagnosen, Medikation),
- Laborwerte,
- Lernziele.
print(case.reference_solution.summary)
print(case.reference_solution.prescribed_diet.summary())
for outcome in case.reference_solution.expected_outcomes:
print("erwartet:", outcome)from synthdiet.education import OSCEStation
from synthdiet.diets import mediterranean_diet
station = OSCEStation(case=case)
student_diet = mediterranean_diet(daily_energy_kcal=1700)
score = station.grade(student_diet)
print(score.pretty())Die Standardrubrik vergibt je 4 Punkte für 5 Kriterien (insgesamt 20): Energieadäquanz, keine verbotenen Lebensmittel, Proteinausreichung, Natrium innerhalb des krankheitsspezifischen Limits, zugesetzter Zucker ≤ 10 %.
from synthdiet.education import OSCERubric
extra = OSCERubric(
code="R6",
description="Ballaststoffe >= 30 g/Tag",
points=4.0,
check=lambda plan, case: (plan.fiber_g_per_day or 0) >= 30,
)
station = OSCEStation(case=case, rubric=station._default_rubric() + [extra])from synthdiet.education import built_in_cases
with open("arbeitsblatt.html", "w", encoding="utf-8") as fh:
for c in built_in_cases():
fh.write(c.as_html())
fh.write("<hr/>")