This scenario follows a patient through three visits where lipid panels are drawn and interpreted as part of preventive cardiovascular care. Total cholesterol moves from 210 mg/dL toward 182 mg/dL, HDL rises from 45 to 55 mg/dL, LDL declines from 140 to 110 mg/dL, and triglycerides improve from 180 to 140 mg/dL. The narrative reinforces lifestyle and follow-up care without any acute events or urgent interventions.
from zato_fhir.test.r4.v1 import Scenarios, TestData
for instance in Scenarios.lipid_profiles:
patient = instance.patient
for name in patient.name:
print(name.text)
practitioner = instance.practitioner
for name in practitioner.name:
print(name.text)
for enc in instance.encounters:
print(enc.status)
for obs in instance.observations:
for coding in obs.code.coding:
print(coding.display)This scenario follows a patient through three visits where lipid panels are drawn and interpreted as part of preventive cardiovascular care. Total cholesterol moves from 210 mg/dL toward 182 mg/dL, HDL rises from 45 to 55 mg/dL, LDL declines from 140 to 110 mg/dL, and triglycerides improve from 180 to 140 mg/dL. The narrative reinforces lifestyle and follow-up care without any acute events or urgent interventions.
Encounters anchor each lab collection episode, and observations carry the panel components in a way that dashboards and decision support can consume. The data supports testing of trending displays, goal tracking, and reporting where improving numbers are the expected outcome.
17 resources per instance, 170 total across 10 instances.
| FHIR resource type | Role in this scenario |
|---|---|
Patient | Person whose lipids are monitored over time |
Practitioner | Ordering clinician or interpreting provider |
Encounter | Visit context for each lipid panel |
Observation | Lipid components and related results trending positively |
FHIR resources per instance | 17 |
Total resources (10 instances) | 170 |
Distinct resource types | 4 |
Scenario identifier | `Scenarios.lipid_profiles` |
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