cdes-m 1.0.0

Cannabis Data Exchange Standard - Medical (CDES-M) Python SDK for healthcare interoperability

CDES-M Python SDK

Cannabis Data Exchange Standard - Medical Extension

A Python SDK implementing CDES-M, the bridge specification connecting cannabis data (CDES) to established healthcare interoperability standards.

Overview

CDES-M extends the Cannabis Data Exchange Standard (CDES) with medical-specific entities and mappings to healthcare standards:

CDES-M Entity	FHIR R4 Resource	Healthcare Codes
Provider	Practitioner	NPI, State License, DEA
Patient	Patient	MRN, MMJ Card
Condition	Condition	ICD-10-CM, SNOMED CT
Recommendation	MedicationRequest	Custom cannabis profile
EfficacyReport	Observation	LOINC PRO codes

Installation

pip install cdes-m

For FHIR conversion support:

pip install cdes-m[fhir]

Quick Start

from datetime import date, datetime
from cdes_m import (
    Provider, Patient, Condition, Recommendation,
    ProviderLicenseType, ConditionCategory, ConsumptionMethod
)

# Create a provider
provider = Provider(
    npi="1234567890",
    license_number="ME123456",
    license_state="FL",
    license_type=ProviderLicenseType.MD,
    license_expiration=date(2026, 12, 31),
    specialty=["Pulmonology"],
    tos_accepted=datetime.utcnow(),
    baa_signed=datetime.utcnow()
)

# Create a patient condition
copd = Condition(
    icd10_code="J44.9",
    snomed_code="13645005",
    display_name="Chronic obstructive pulmonary disease",
    category=ConditionCategory.RESPIRATORY
)

# Create a recommendation
from cdes_m import TargetProfile, DosingGuidance

recommendation = Recommendation(
    patient_id=patient.id,
    provider_id=provider.id,
    condition_ids=[copd.id],
    target_profile=TargetProfile(
        terpene_profile={"myrcene": 0.8, "caryophyllene": 0.5, "limonene": 0.3},
        consumption_methods=[ConsumptionMethod.VAPORIZER]
    ),
    dosing_guidance=DosingGuidance(
        route=ConsumptionMethod.VAPORIZER,
        frequency="As needed, up to 3x daily",
        dose_low="2.5mg THC",
        dose_high="5mg THC"
    ),
    rationale="High myrcene for anti-inflammatory, caryophyllene for bronchodilation"
)

FHIR Conversion

Convert CDES-M entities to FHIR R4 resources:

from cdes_m.fhir import (
    provider_to_practitioner,
    patient_to_fhir,
    condition_to_fhir,
    recommendation_to_medication_request,
    efficacy_report_to_observation
)

# Convert provider to FHIR Practitioner
practitioner = provider_to_practitioner(provider)
print(practitioner.json(indent=2))

# Convert to FHIR MedicationRequest
med_request = recommendation_to_medication_request(
    recommendation, patient.id, provider.id
)

Core Entities

Provider

Licensed healthcare provider with NPI, state license, optional DEA number, and MMJ certification.

Patient (PHI - HIPAA Protected)

Medical marijuana patient with conditions, cannabis history, terpene fingerprint, and consent preferences.

Condition

Medical condition with ICD-10-CM and SNOMED CT coding.

Recommendation

Provider recommendation including target terpene/cannabinoid profile and dosing guidance.

EfficacyReport

Patient-reported outcome tracking treatment effectiveness.

TreatmentProtocol

Evidence-based mapping of conditions to recommended cannabis profiles.

Standards Mapping

CDES-M bridges to these healthcare standards:

Standard	Purpose	CDES-M Usage
FHIR R4	Healthcare interoperability	Full resource mapping
ICD-10-CM	Diagnosis codes	Condition.icd10_code
SNOMED CT	Clinical terminology	Condition.snomed_code
NPI	Provider identification	Provider.npi
LOINC	Lab observations	EfficacyReport codes

Licensing

Dual Licensed:

• Apache 2.0: Free for non-commercial, research, and educational use
• Commercial License: Required for commercial applications

Contact [e-mail] for commercial licensing.

Resources

• Website: https://cdes.acidni.net/cdes-m
• Specification: https://github.com/Acidni-LLC/cdes-m-spec
• CDES Core: https://cdes.acidni.net

Contributing

See CONTRIBUTING.md for contribution guidelines.

Support

• GitHub Issues: Bug reports and feature requests
• Email: [e-mail]
• Community: Join our working groups (see specification)

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** 2025 Acidni LLC** - Advancing cannabis data interoperability