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Message type

Blood product transfusion / disposition acknowledgment

Supports blood product processing workflows. Key segments include MSH, MSA, PID, ORC. Blood bank and transfusion management systems exchange this to track product status from order through disposition.

17segments
5required
2groups
v2.9HL7 version
brt-o32.py
# Zato
from zato.hl7v2 import HL7Message

# An incoming message ..
raw = 'MSH|^~\&|SENDER|FAC|RCV|DEST|20260701||' \
      'BRT^O32^BRT_O32|MSG001|P|2.9\r' \
      'PID|1||MRN-10045||SMITH^JOHN||19850315|M\r' \
      'BPO|1|O+^O Positive^ABO|3|ML|300'

# .. 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
product = msg.bpo.bp_universal_service_identifier
quantity = msg.bpo.bp_quantity

Build and parse BRT^O32 messages in Python

How to construct, send, receive, and extract fields from real-world BRT^O32 messages.

1

Parse an incoming BRT^O32 message

Demonstrates receiving and extracting key fields from a blood product transfusion / disposition acknowledgment transaction

# Zato
from zato.hl7v2 import HL7Message

# An incoming message ..
raw = 'MSH|^~\&|SENDER|FAC|RCV|DEST|20260701||' \
      'BRT^O32^BRT_O32|MSG001|P|2.9\r' \
      'PID|1||MRN-10045||SMITH^JOHN||19850315|M\r' \
      'BPO|1|O+^O Positive^ABO|3|ML|300'

# .. 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
product = msg.bpo.bp_universal_service_identifier
quantity = msg.bpo.bp_quantity

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||BRT^O32^BRT_O32|MSG00001|P|2.9\rMSA|AA|MSG00001\rERR|||0|I|'
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: MSA, PID, ORC, TQ1. 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.

BRT^O32 segment composition

Segments that make up the BRT^O32 message, in order. Groups are shown with their child segments.

#SegmentUsageRepeatsDescriptionGroup
1MSHRequiredNoMessage header-
2ARVOptionalYesAccess restriction-
3MSARequiredNoMessage acknowledgment-
4ARVOptionalYesAccess restriction-
5ERROptionalYesError-
6SFTOptionalYesSoftware segment-
7UACOptionalNoUser authentication credential-
8NTEOptionalYesNotes and comments-
9PIDRequiredNoPatient identificationRESPONSE
10PRTOptionalYesParticipation informationRESPONSE
11ARVOptionalYesAccess restrictionRESPONSE
12ORCRequiredNoCommon orderRESPONSE
13PRTOptionalYesParticipation informationRESPONSE
14TQ1RequiredNoTiming / quantityTIMING
15TQ2OptionalYesTiming / quantity relationshipTIMING
16BPOOptionalNoBlood product orderRESPONSE
17BTXOptionalYesBlood product transfusion / dispositionRESPONSE

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Open source In Python