pyehr - a Python implementation of the openEHR® standard

pyehr (on pypi, pyehr-openehr) is an open source Python implementation of the openEHR® specification from the ground up in pure Python.

⚠️ Warning: pyehr is under active development and no stable release is available. Though some parts of the core are stable enough, both client and server are liable to change substantially.

pyehr is formed of three parts:

• core - implementation of object model of BASE, RM, AM, etc. in Python
• client - used for interacting with OpenEHR REST API servers
• server - basic Flask-based implementation of the server standard

pyehr.core

pyehr provides an implementation of the following parts of the specification which are used by both the client and the server, and many users may wish to use in a standalone manner.

Features:

• Work in the RM natively in Python with validation of invariants

text = DVText(
    value="Hello, world!",
    language=CodePhrase(
        terminology_id=TerminologyID("ISO_639-1"),
        code_string="en-gb",
        preferred_term="English (United Kingdom)"
    )
)

• Serialise all classes to spec-compliant JSON (with '_type' markers)

print(json.dumps(text.as_json(), indent=1))

{
 "_type": "DV_TEXT",
 "value": "Hello, world!",
 "language": {
  "_type": "CODE_PHRASE",
  "terminology_id": {
   "_type": "TERMINOLOGY_ID",
   "value": "ISO_639-1"
  },
  "code_string": "en-gb",
  "preferred_term": "English (United Kingdom)"
 }
}

• Use methods as described in the spec across classes

from pyehr.core.rm.data_types.quantity.date_time import DVDate, DVDuration

start_date = DVDate("2026-05-07")
duration = DVDuration("P1Y2M6D")
new_date = start_date + duration
print(str(new_date)) 

• Convert seamlessly between ADL v1.4 (read only) and XML and JSON versions of Archetypes

from xml.etree import ElementTree as ET
import json

from pyehr.core.its.adl14 import decode_adl14
from pyehr.core.am.aom14.archetype import Archetype

with open("/path/to/file.adl14") as adl_f:
    arch : Archetype = decode_adl14(adl_f.read())

    xml_version = arch.as_xml()
    with open("/path/to/file.xml", "w") as xml_f:
        ET.indent(xml_version)
        xml_f.write(ET.tostring(xml_version, encoding="unicode"))

    json_version = arch.as_json()
    with open("/path/to/file.json", "w") as json_f:
        json_f.write(json.dumps(json_version, indent=1))

Support level

pyehr.client

pyehr provides both a transactional REST API client as well as a more sophisticated client for working more easily with versioned objects.

Features:

• Transactional clients for /ehr and /demographic endpoints.

from pyehr.client.ehr import OpenEHREHRRestClient, OpenEHRRestClientResponse

client = OpenEHREHRRestClient(
    base_url="https://sandbox.ehrbase.org/ehrbase/rest/openehr/v1"
)

response : OpenEHRRestClientResponse = client.ehr.create_ehr()

print(response.pyehr_obj[0].as_json())

• More object-oriented client for working with versioned objects more natively

from pyehr.client.change_control import VersionedStoreClient

store = VersionedStoreClient(
    base_url="http://localhost:5000"
)

p1 = ...

log.info("Create PERSON in store")
object_version_id, contribution, versioned_object = store.create(
    obj=p1,
    owner_id=ObjectRef("local", "EHR", GenericID("null", "null")),
    committer=PartySelf(),
    lifecycle_state=VersionLifecycleState.INCOMPLETE
)

pyehr.server

pyehr provides an under-development Flask-based Clinical Data Repository server with accompanying database and authentication backends.

Disclaimer

openEHR® is the registered trademark of the openEHR Foundation and is used with the permission of openEHR International. Use of the trademark does not constitute endorsement of this product by openEHR International or openEHR Foundation.