FHIRmodels

Overview

FHIRmodels is a straightforward Python package designed for working with FHIR data as Python objects. It offers a less strict approach compared to similar packages, such as fhir.resources, and does not include validation functionality.

Installation

To install FHIRmodels, use pip:

pip install fhirmodels

Usage

Creating a Patient

You can create a Patient object with the following example:

from fhirmodels.R4 import Patient, HumanName, ContactPoint

patient = Patient(
    id="123",
    birthDate="2020-01-01",
    gender="male",
    active=True,
    name=[HumanName(family="Doe", given=["John"])],
    telecom=[ContactPoint(system="phone", value="1234567890")]
)

print(patient.as_dict())

Creating from dictionary

You can create a FHIR object using a dictionary and the from_dict method:

from fhirmodels.R4 import Condition

sample_condition = {
    "resourceType": "Condition",
    "id": "example",
    "identifier": [{"system": "http://example.org", "value": "12345"}],
    "clinicalStatus": {
        "coding": [
            {
                "system": "http://terminology.hl7.org/CodeSystem/condition-clinical",
                "code": "active",
            }
        ]
    },
    "code": {
        "coding": [
            {
                "system": "http://snomed.info/sct",
                "code": "386661006",
                "display": "Fever",
            }
        ]
    },
}

condition = Condition.from_dict(sample_condition)

print(condition.as_dict())

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

License

This project is licensed under the MIT License. See the LICENSE file for details.