hl7types 0.1.3

Typed, Pydantic-powered HL7 v2 models with built-in ER7 and XML serialisation

hl7types

HL7 v2 (Health Level Seven Version 2) is the most widely deployed healthcare messaging standard in the world, used to exchange clinical and administrative data between hospital systems, laboratories, pharmacies, and other healthcare applications. It defines a pipe-delimited wire format (ER7) for encoding messages such as patient admissions, lab results, and order requests, and is the backbone of interoperability in the majority of existing healthcare infrastructure globally.

hl7types provides typed, Pydantic-powered Python models for HL7 v2 messages, segments, and datatypes, with built-in ER7 and XML serialisation. Models are generated directly from the HL7 specification, giving you full type safety, IDE autocompletion, and validation out of the box.

With thanks to the fhir.resources project for demonstrating what modern, Pydantic-powered healthcare data tooling can look like.

All HL7 v2 model classes are generated using hl7-parser.

HL7® is a registered trademark owned by Health Level Seven International.

Version info

Each HL7 version is available as a sub-package under hl7types.hl7.<version>, where the version string uses underscores in place of dots , so v2.5.1 is at hl7types.hl7.v2_5_1 and v2.1 is at hl7types.hl7.v2_1.

Available versions:

• v2.1 (hl7types.hl7.v2_1)
• v2.2 (hl7types.hl7.v2_2)
• v2.3 (hl7types.hl7.v2_3)
• v2.3.1 (hl7types.hl7.v2_3_1)
• v2.4 (hl7types.hl7.v2_4)
• v2.5 (hl7types.hl7.v2_5)
• v2.5.1 (hl7types.hl7.v2_5_1)
• v2.6 (hl7types.hl7.v2_6)
• v2.7 (hl7types.hl7.v2_7)
• v2.7.1 (hl7types.hl7.v2_7_1)
• v2.8 (hl7types.hl7.v2_8)
• v2.8.1 (hl7types.hl7.v2_8_1)
• v2.8.2 (hl7types.hl7.v2_8_2)

Installation

pip install hl7types

Usage

Example 1: Construct an ADT^A01 message from typed models and access fields directly:

>>> from hl7types.hl7.v2_5_1.datatypes import CE, CX, FN, HD, MSG, PT, SAD, TS, VID, XAD, XPN, XTN
>>> from hl7types.hl7.v2_5_1.messages import ADT_A01
>>> from hl7types.hl7.v2_5_1.segments import EVN, MSH, PID, PV1
>>> msh = MSH(
...     msh_3=HD(hd_1="HL7TYPES"),
...     msh_4=HD(hd_1="YSBYTY PONTYPANDY"),
...     msh_5=HD(hd_1="WPAS"),
...     msh_6=HD(hd_1="YSBYTY CWM YSWYTH"),
...     msh_7=TS(ts_1="20240101090000"),
...     msh_9=MSG(msg_1="ADT", msg_2="A01"),
...     msh_10="MSG000001",
...     msh_11=PT(pt_1="P"),
...     msh_12=VID(vid_1="2.5.1"),
...     msh_17="CYM",
... )
>>> evn = EVN(evn_2=TS(ts_1="20260101000000"), evn_3=TS(ts_1="20240101090000"))
>>> pid = PID(
...     pid_3=[CX(cx_1="M12345", cx_4=HD(hd_1="WPAS"), cx_5="PI")],
...     pid_5=[XPN(xpn_1=FN(fn_1="Jones"), xpn_2="Brynn", xpn_5="Mr")],
...     pid_7=TS(ts_1="19930707"),
...     pid_8="M",
...     pid_11=[XAD(xad_1=SAD(sad_1="18 Stryd Mill"), xad_3="Pontypandy", xad_5="CF41 7ZQ", xad_6="CYM", xad_7="H")],
...     pid_13=[XTN(xtn_1="0118 999 881 999 119 725 3", xtn_2="PRN", xtn_3="PH")],
...     pid_15=CE(ce_1="cy", ce_2="Cymraeg"),
... )
>>> msg = ADT_A01(MSH=msh, EVN=evn, PID=pid, PV1=PV1(pv1_2="I"))
>>> isinstance(msg.PID.pid_5[0], XPN)
True
>>> msg.PID.pid_5[0].xpn_1.fn_1
'Jones'
>>> msg.PID.pid_8
'M'

---

Example 2: Encode to ER7 (pipe-delimited):

>>> er7 = msg.model_dump_er7()
>>> for segment in er7.split("\r"):
...     print(segment)
MSH|^~\&|HL7TYPES|YSBYTY PONTYPANDY|WPAS|YSBYTY CWM YSWYTH|20240101090000||ADT^A01|MSG000001|P|2.5.1|||||CYM
EVN||20260101000000|20240101090000
PID|||M12345^^^WPAS^PI||Jones^Brynn^^^Mr||19930707|M|||18 Stryd Mill^^Pontypandy^Rhondda Cynon Taf^CF41 7ZQ^CYM^H||0118 999 881 999 119 725 3^PRN^PH||cy^Cymraeg
PV1||I

---

Example 3: Decode an ER7 string back into typed models:

>>> decoded = ADT_A01.model_validate_er7(er7)
>>> isinstance(decoded.PID.pid_5[0], XPN)
True
>>> decoded.PID.pid_5[0].xpn_1.fn_1
'Jones'
>>> decoded.PID.pid_8
'M'

---

Example 4: Standard Pydantic serialisation is available on all models:

>>> import json
>>> data = json.loads(msg.PID.model_dump_json())
>>> data["PID.8"]
'M'

---

Example 5: Type validation is enforced , passing the wrong type raises a ValidationError:

>>> from pydantic import ValidationError
>>> try:
...     PID(pid_3="not-a-list")
... except ValidationError as e:
...     print(e)
2 validation errors for PID
pid_3
  Input should be a valid list [type=list_type, input_value='not-a-list', input_type=str]
    For further information visit https://errors.pydantic.dev/2.13/v/list_type
pid_5
  Field required [type=missing, input_value={'pid_3': 'not-a-list'}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.13/v/missing

---

Example 6: Fields accept human-readable aliases as well as the positional names , all three forms are equivalent:

>>> from hl7types.hl7.v2_5_1.segments import MSH
>>> from hl7types.hl7.v2_5_1.datatypes import HD
>>> # these are all the same field
>>> MSH(msh_3=HD(hd_1="HL7TYPES")).msh_3.hd_1
'HL7TYPES'
>>> MSH(sending_application=HD(hd_1="HL7TYPES")).msh_3.hd_1
'HL7TYPES'
>>> MSH(**{"MSH.3": HD(hd_1="HL7TYPES")}).msh_3.hd_1
'HL7TYPES'

---

Example 7: Encode to XML:

>>> print(msg.model_dump_xml())

<?xml version="1.0" encoding="UTF-8"?><ADT_A01 xmlns="urn:hl7-org:v2xml">
    <MSH>
        <MSH.1>|</MSH.1>
        <MSH.2>^~\&amp;</MSH.2>
        <MSH.3>
            ...

License

Proudly licensed under the MIT License. See LICENSE for details.