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Message type

Population / location-based laboratory order

Submits a population or location-based laboratory order for surveillance or public health testing. The ORC and OBR segments define the order, and SPM identifies the specimen source and collection site.

57segments
22required
10groups
v2.9HL7 version
opl-o37.py
# Zato
from zato.hl7v2 import HL7Message

# An incoming message ..
raw = 'MSH|^~\&|SENDER|FAC|RCV|DEST|20260701||' \
      'OPL^O37^OPL_O37|MSG001|P|2.9\r' \
      'PID|1||MRN-10045||SMITH^JOHN||19850315|M\r' \
      'SPM|1||BLD^Blood|VENOUS'

# .. parsed into a Python object ..
msg = HL7Message.parse(raw)

# .. whose fields we can now access.
name = msg.pid.patient_name
dob = msg.pid.date_time_of_birth
specimen_type = msg.spm.specimen_type
specimen_id = msg.spm.specimen_id

Build and parse OPL^O37 messages in Python

How to construct, send, receive, and extract fields from real-world OPL^O37 messages.

1

Parse an incoming OPL^O37 message

Demonstrates receiving and extracting key fields from a population / location-based laboratory order transaction

# Zato
from zato.hl7v2 import HL7Message

# An incoming message ..
raw = 'MSH|^~\&|SENDER|FAC|RCV|DEST|20260701||' \
      'OPL^O37^OPL_O37|MSG001|P|2.9\r' \
      'PID|1||MRN-10045||SMITH^JOHN||19850315|M\r' \
      'SPM|1||BLD^Blood|VENOUS'

# .. parsed into a Python object ..
msg = HL7Message.parse(raw)

# .. whose fields we can now access.
name = msg.pid.patient_name
dob = msg.pid.date_time_of_birth
specimen_type = msg.spm.specimen_type
specimen_id = msg.spm.specimen_id

Learn by building

Step-by-step guides for working with HL7 v2 in Zato.

Frequently asked questions

Use the HL7v2 message parser to extract the typed structure. The parsed message gives you direct access to every segment and field by name.

from zato.hl7v2 import HL7Message

raw = 'MSH|^~\&|SENDER|FACILITY|RECEIVER|DEST|20260401120000||OPL^O37^OPL_O37|MSG00001|P|2.9\rPRT|1||AT^Attending||1234^CHEN^DAVID^L^^^MD'
msg = HL7Message.parse(raw)

name = msg.pid.patient_name
dob = msg.pid.date_time_of_birth

Beyond the mandatory MSH header, the required segments are: PRT, GT1, NK1, PID, OBX, IN1, SPM, OBX. Optional segments provide additional detail when available.

Zato connects to any system that speaks HL7v2 over MLLP or FHIR over REST. This includes Epic, Cerner, Meditech, Allscripts, and other EHR platforms.

Yes, Zato has built-in MLLP support for sending and receiving HL7v2 messages. MLLP channels handle the framing protocol automatically.

Zato supports HL7 v2.9, which is backward compatible with earlier versions including v2.3, v2.5, and v2.7. Standard segments and datatypes are available as typed Python classes.

Yes. Zato handles both HL7v2 and FHIR natively, so you can parse v2 messages and build FHIR resources with IG-specific extensions in the same service. Typed Python classes are available for both protocols, including extensions from US Core, UK Core, Da Vinci, and other Implementation Guides.

OPL^O37 segment composition

Segments that make up the OPL^O37 message, in order. Groups are shown with their child segments.

#SegmentUsageRepeatsDescriptionGroup
1MSHRequiredNoMessage header-
2ARVOptionalYesAccess restriction-
3SFTOptionalYesSoftware segment-
4UACOptionalNoUser authentication credential-
5NTEOptionalYesNotes and comments-
6PRTRequiredYesParticipation information-
7GT1RequiredNoGuarantorGUARANTOR
8NTEOptionalYesNotes and commentsGUARANTOR
9NK1RequiredYesNext of kin / associated partiesORDER
10PIDRequiredNoPatient identificationORDER
11PD1OptionalNoPatient additional demographicORDER
12PRTOptionalYesParticipation informationORDER
13ARVOptionalYesAccess restrictionORDER
14OBXRequiredNoObservation resultOBSERVATIONS_ON_PATIENT
15PRTOptionalYesParticipation informationOBSERVATIONS_ON_PATIENT
16IN1RequiredNoInsuranceINSURANCE
17IN2OptionalNoInsurance additional infoINSURANCE
18IN3OptionalNoInsurance additional info - certificationINSURANCE
19AL1OptionalYesPatient allergy informationORDER
20SPMRequiredNoSpecimenORDER
21OBXRequiredNoObservation resultSPECIMEN_OBSERVATION
22PRTOptionalYesParticipation informationSPECIMEN_OBSERVATION
23SACRequiredNoSpecimen container detailCONTAINER
24OBXRequiredNoObservation resultCONTAINER
25PRTOptionalYesParticipation informationCONTAINER
26ORCRequiredNoCommon orderOBSERVATION_REQUEST
27PRTOptionalYesParticipation informationOBSERVATION_REQUEST
28OBRRequiredNoObservation requestOBSERVATION_REQUEST
29PRTOptionalYesParticipation informationOBSERVATION_REQUEST
30TQ1RequiredNoTiming / quantityOBSERVATION_REQUEST
31TQ2OptionalYesTiming / quantity relationshipOBSERVATION_REQUEST
32TCDOptionalNoTest code detailOBSERVATION_REQUEST
33DG1OptionalYesDiagnosisOBSERVATION_REQUEST
34OBXRequiredNoObservation resultOBSERVATION_REQUEST
35PRTOptionalYesParticipation informationOBSERVATION_REQUEST
36SGHOptionalNoSegment group headerORDER
37NK1RequiredYesNext of kin / associated partiesORDER
38PIDRequiredNoPatient identificationPATIENT_PRIOR
39PD1OptionalNoPatient additional demographicPATIENT_PRIOR
40PRTOptionalYesParticipation informationPATIENT_PRIOR
41ARVOptionalYesAccess restrictionPATIENT_PRIOR
42PV1RequiredNoPatient visitPATIENT_VISIT_PRIOR
43PV2OptionalNoPatient visit - additional infoPATIENT_VISIT_PRIOR
44PRTOptionalYesParticipation informationPATIENT_VISIT_PRIOR
45AL1OptionalNoPatient allergy informationORDER
46OBRRequiredNoObservation requestORDER_PRIOR
47ORCOptionalNoCommon orderORDER_PRIOR
48PRTRequiredNoParticipation informationORDER_PRIOR
49DEVOptionalYesDeviceORDER_PRIOR
50TQ1RequiredNoTiming / quantityORDER_PRIOR
51TQ2OptionalYesTiming / quantity relationshipORDER_PRIOR
52OBXRequiredNoObservation resultORDER_PRIOR
53PRTOptionalYesParticipation informationORDER_PRIOR
54SGTOptionalNoSegment group trailerORDER
55FT1OptionalYesFinancial transactionORDER
56CTIOptionalYesClinical trial identificationORDER
57BLGOptionalNoBillingORDER

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Open source In Python