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All of FHIR and HL7 v2 supported

Healthcare interoperability
in Python

Parse, validate, and transform FHIR and HL7 v2 messages. Connect EHRs, lab systems, and clinical applications with clean, typed Python APIs.

144
FHIR resources
v2.9
HL7 support
100%
Open Source and in Python
healthcare.py
Trusted by healthcare organizations worldwide

Clean APIs, typed everything

Every HL7 v2 segment, FHIR resource, and datatype is a real Python class with autocompletion and type checking.

Everything you need for healthcare data

Parse, validate, transform, and exchange clinical messages across HL7 v2 and FHIR, all in Python.

Three steps to production

Go from zero to exchanging clinical data with your healthcare partners.

01
1
Configure your channels
Set up MLLP channels for HL7 v2 or REST endpoints for FHIR. Zato handles the protocol layer so you focus on business logic.
02
2
Write your integration
Parse incoming messages, access fields by name, validate against specs, and transform between formats, all in standard Python.
03
3
Connect clinical systems
Send and receive data from EHRs, lab systems, pharmacies, and any healthcare application that speaks HL7 v2 or FHIR.

Learn by building

Step-by-step guides for every healthcare integration pattern.

HL7 v2

The language hospitals speak

Admissions, lab orders, results - carried between every hospital, clinic, and laboratory. Zato parses every segment and field into typed Python objects.

msg = HL7Message.parse(raw)
msg.pid.patient_name.family_name
FHIR

The modern standard

JSON resources over REST. Patient, Observation, Encounter - all 144 R4 resource types as real Python classes with full autocompletion.

patient = Patient.from_json(data)
patient.name.family
Transform

Both standards, one codebase

Map HL7 v2 messages to FHIR bundles and back. Clean code, no middleware configuration, no XML mapping layers, no vendor lock-in.

bundle = adt_to_fhir(msg)
bundle.entry.resource

Frequently asked questions

Zato supports HL7 v2.9, which is backward compatible with earlier versions. All standard segments, datatypes, and message structures are available as typed Python classes.

Zato supports FHIR (4.0.1), the current normative release. All 144 resource types are available with full datatype support.

Use HL7Message.parse(raw_message) to parse ER7 format. Access segments like msg.pid and fields like msg.pid.patient_name.

Use semantic names - msg.pid.patient_name instead of msg.pid.pid_5. Component access works too - msg.pid.patient_name.family_name.

Import the resource class and set attributes - patient = Patient(), then patient.id = "123". Use patient.to_json() to serialize.

Use Patient.from_json(json_string) or Patient.from_dict(data) to create typed resource instances from JSON.

Yes - use validate(resource) to check required fields, cardinality, and types. Use validate_valueset_binding(resource) for terminology validation.

Use get_extension(resource, url) and set_extension(resource, url, value). Nested extensions are supported with get_nested_extension().

Yes - use HL7Batch and HL7File classes to parse and create batch wrappers with BHS/BTS and FHS/FTS segments.

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Open Source In Python All of FHIR and HL7 v2 supported