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Message type

Collaborative care fetch

Supports collaborative care coordination between providers. Key segments include MSH, PID. Care coordination platforms and clinical systems exchange this to share patient care information across organizational boundaries.

5segments
2required
0groups
v2.9HL7 version
ccf-i22.py
# Zato
from zato.hl7v2 import HL7Message

# An incoming message ..
raw = 'MSH|^~\&|SENDER|FAC|RCV|DEST|20260701||' \
      'CCF^I22^CCF_I22|MSG001|P|2.9\r' \
      'PID|1||MRN-10045||SMITH^JOHN||19850315|M'

# .. 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

Build and parse CCF^I22 messages in Python

How to construct, send, receive, and extract fields from real-world CCF^I22 messages.

1

Parse an incoming CCF^I22 message

Demonstrates receiving and extracting key fields from a collaborative care fetch transaction

# Zato
from zato.hl7v2 import HL7Message

# An incoming message ..
raw = 'MSH|^~\&|SENDER|FAC|RCV|DEST|20260701||' \
      'CCF^I22^CCF_I22|MSG001|P|2.9\r' \
      'PID|1||MRN-10045||SMITH^JOHN||19850315|M'

# .. 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

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||CCF^I22^CCF_I22|MSG00001|P|2.9\rPID|1||MRN-10045||JOHNSON^SARAH^M||19880612|F|||100 Oak Lane^^Portland^OR^97201'
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: PID. 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.

CCF^I22 segment composition

Segments that make up the CCF^I22 message, in order. Groups are shown with their child segments.

#SegmentUsageRepeatsDescriptionGroup
1MSHRequiredNoMessage header-
2ARVOptionalYesAccess restriction-
3SFTOptionalYesSoftware segment-
4UACOptionalNoUser authentication credential-
5PIDRequiredNoPatient identification-

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Open source In Python