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Segment

Original-style query filter

Was used alongside QRD to further refine original-mode queries, carrying filters such as department or subsystem identifiers, date and time ranges, and user-defined qualifiers. Like QRD, it is retained for backward compatibility and found in legacy query interfaces, but has been replaced by the QPD segment in modern query-by-parameter implementations.

0fields
0required
v2.9HL7 version
qrf.py
from zato.hl7v2.v2_9 import QRF

# Withdrawn segment, retained for legacy parsing
qrf = QRF()
print(qrf.to_er7())

Build QRF segments in Python

How to construct and work with real-world QRF segments.

1

Legacy filter placeholder

Withdrawn segment retained for old fitness data query chains

from zato.hl7v2.v2_9 import QRF

# Legacy fitness filter stub
qrf = QRF()
2

Compatibility-only row

Minimal form when partners still send the segment id

from zato.hl7v2.v2_9 import QRF

# Parser-safe empty segment
qrf = QRF()
3

Nutrition timeline note

Comment-only block for documentation in migrated feeds

from zato.hl7v2.v2_9 import QRF

# Nutrition coaching history export note
qrf = QRF()

Learn by building

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

Frequently asked questions

The original QRF row was withdrawn alongside the legacy query framework. The segment class exists for parsing older traffic, not for new data elements.

Not through this withdrawn stub. Express filters with the message structures and segments your current guide defines instead of relying on QRF.

Historically QRF followed QRD in the same query group. If you must support both, treat them as empty placeholders unless a legacy contract lists obsolete fields.

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.

QRF field reference

Complete list of fields in the QRF segment, HL7 v2.9.

#Python nameDatatypeUsageRepeatableTable

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Open source In Python