Update app.py

app.py

@@ -139,3 +139,131 @@ if query:
     fhir_client.create(exercise_questionnaire_response)
                                                                                                                         
 """)
+
+
+st.markdown("""
+from hl7apy.parser import parse_message
+from fhirpy import SyncFHIRClient
+from fhirpy.base.exceptions import OperationOutcome
+from fhir.resources import Bundle, Patient, Observation
+from fhirclient.models.fhirreference import FHIRReference
+from fhirclient.models.codeableconcept import CodeableConcept
+from fhirclient.models.fhirsearch import FHIRSearch
+from fhirclient.models.observation import Observation as FhirObservation
+from fhirclient.models.questionnaire import QuestionnaireResponse as FhirQuestionnaireResponse
+from fhirclient.models.fhirabstractbase import FHIRValidationError
+import webbrowser
+
+# Set up the FHIR server base URL
+fhir_server_url = "https://fhirtest.uhn.ca/baseDstu3"
+
+# Set up the SMART on FHIR launch URL
+smart_launch_url = "https://launch.smarthealthit.org/v/r4/sim/eyJhIjoiMSIsImYiOiI5LjUuMTQwMDkiLCJlIjoiMi4wLjAiLCJzIjoibmV3LXNzbCIsInQiOiJkYXRhc2V0In0/fhir"
+
+# Define the LOINC code for the test observation
+test_observation_loinc = "29463-7"
+
+# Define the Exercise Assessment questionnaire ID
+exercise_questionnaire_id = "exercise-questionnaire"
+
+# Define the Exercise Assessment questionnaire response ID prefix
+exercise_response_prefix = "exercise-response"
+
+# Define the Exercise Assessment observation code
+exercise_observation_code = "8867-4"
+
+# Define the SMART on FHIR launch parameters
+smart_launch_params = {
+    "iss": fhir_server_url,
+    "launch": "12345",
+    "patient": "Patient/123",
+    "scope": "patient/*.read",
+    "aud": "https://example.com/fhir"
+}
+
+# Create a FHIR client
+client = SyncFHIRClient(fhir_server_url)
+
+# Receive an HL7 v2.x message
+hl7_message = b"MSH|^~\&|HIS|FHIRCLIENT|HIS|FHIRCLIENT|20230101010101||ORU^R01|123|P|2.5.1||||||||\nPID|||1234^^^^MR||DOE^JOHN|||||||||||||||\nOBR|1|1234||^^^29463-7^GLU^L|||20230101010101|||||||||||||||||||||||||||||\nOBX|1|ST|29463-7^GLU^L|1|100|mg/dL|||||F\n"
+message = parse_message(hl7_message)
+
+# Convert the HL7 v2.x message to FHIR resources
+patient = Patient(
+    id=message.pid.pid_3.value,
+    name=[{"given": [message.pid.pid_5.value.split("^")[1]], "family": message.pid.pid_5.value.split("^")[0]}],
+    birthDate=message.pid.pid_7.value
+)
+observation = Observation(
+    code=CodeableConcept(
+        coding=[{"system": "http://loinc.org", "code": test_observation_loinc, "display": "GLUCOSE"}],
+        text="Glucose"
+    ),
+    valueQuantity={
+        "value": float(message.obx[0].obx_5.value),
+        "unit": message.obx[0].obx_6.value
+),
+subject=FHIRReference({"reference": f"Patient/{patient.id}"})
+)
+
+Create a bundle with the Patient and Observation resources
+bundle = Bundle(type="collection", entry=[{"resource": patient}, {"resource": observation}])
+
+Save the bundle to the FHIR server
+try:
+response = client.create(bundle)
+st.write("Observation saved to FHIR server:")
+st.json(response.as_json())
+except OperationOutcome as error:
+st.write("Error saving observation to FHIR server:")
+st.json(error.as_json())
+
+Render the Exercise Assessment using the FHIR resources
+exercise_questionnaire_response_id = f"{exercise_response_prefix}-{observation.code.coding[0].code}"
+exercise_questionnaire_response = FhirQuestionnaireResponse(
+questionnaire=FHIRReference(f"Questionnaire/{exercise_questionnaire_id}"),
+status="in-progress",
+subject=FHIRReference({"reference": f"Patient/{patient.id}"})
+)
+exercise_questionnaire_response.identifier = [{"value": exercise_questionnaire_response_id}]
+exercise_questionnaire_response.item = [
+{
+"linkId": "1",
+"text": "How many minutes of aerobic exercise did you do today?",
+"type": "integer"
+},
+{
+"linkId": "2",
+"text": "How many minutes of strength training did you do today?",
+"type": "integer"
+}
+]
+
+Save the Exercise Assessment to the FHIR server
+try:
+response = client.create(exercise_questionnaire_response)
+st.write("Exercise Assessment saved to FHIR server:")
+st.json(response.as_json())
+except (OperationOutcome, FHIRValidationError) as error:
+st.write("Error saving Exercise Assessment to FHIR server:")
+st.json(error.as_json())
+
+Generate the SMART on FHIR launch URL with launch parameters
+smart_launch_url_with_params = f"{smart_launch_url}?{'&'.join([f'{key}={value}' for key, value in smart_launch_params.items()])}"
+
+Display the SMART on FHIR launch URL
+st.write("SMART on FHIR launch URL:")
+st.write(smart_launch_url_with_params)
+
+Open the SMART on FHIR UI in a web browser
+webbrowser.open(smart_launch_url_with_params)
+
+This program receives an HL7 v2.x message, converts it to FHIR resources (a Patient and an Observation), saves the resources to the FHIR server, and then renders the Exercise Assessment questionnaire using the saved resources. The program then saves the Exercise Assessment to the FHIR server and generates a SMART on FHIR launch URL with launch parameters. Finally, the program displays the launch URL and opens the SMART on FHIR UI in a web browser.
+
+Note that in order to run this program, you'll need to have the `hl7apy`, `fhirpy`, `fhir.resources`, `fhirclient`, and `webbrowser` packages installed, and you'll need to update the `fhir_server_url`, `smart_launch_url`, `test_observation_loinc`, `exercise_questionnaire_id`, and `exercise_response_prefix` variables to match your environment.
+
+
+
+
+""")
+