fhir-generator

name	fhir-generator
description	FHIR R4 resource generation and validation for healthcare interoperability. Converts medical data into FHIR-compliant JSON resources (Patient, Observation, MedicationRequest, Condition, etc.). Use when creating FHIR resources, validating healthcare data structures, or preparing data for EHR integration.
license	MIT
allowed-tools	["python","bash"]
metadata	{"version":"1.0.0","category":"healthcare","fhir-version":"R4","standard":"HL7 FHIR"}

FHIR R4 Resource Generator Skill

Overview

This skill enables Claude to generate valid FHIR R4 (Fast Healthcare Interoperability Resources) resources from extracted medical data. FHIR is the industry standard for healthcare data exchange.

When to Use This Skill

Use this skill when you need to:

• Convert OCR-extracted medical data to FHIR resources
• Create Patient, Observation, MedicationRequest resources
• Validate FHIR resource structure
• Prepare data for EHR (Electronic Health Record) integration
• Generate HL7 FHIR bundles for data exchange

Core FHIR Resources

1. Patient Resource

def create_fhir_patient(patient_data):
    """Generate FHIR R4 Patient resource"""
    return {
        "resourceType": "Patient",
        "id": patient_data.get('id', 'example-patient'),
        "identifier": [{
            "use": "official",
            "system": "http://hospital.example.org",
            "value": patient_data.get('mrn', 'MRN12345')
        }],
        "active": True,
        "name": [{
            "use": "official",
            "family": patient_data.get('last_name', ''),
            "given": [patient_data.get('first_name', '')]
        }],
        "gender": patient_data.get('gender', 'unknown'),
        "birthDate": patient_data.get('birth_date', ''),
        "address": [{
            "use": "home",
            "line": [patient_data.get('address_line', '')],
            "city": patient_data.get('city', ''),
            "state": patient_data.get('state', ''),
            "postalCode": patient_data.get('zip', ''),
            "country": patient_data.get('country', 'US')
        }],
        "telecom": [{
            "system": "phone",
            "value": patient_data.get('phone', ''),
            "use": "mobile"
        }]
    }

2. MedicationRequest Resource

def create_medication_request(medication_data, patient_reference):
    """Generate FHIR R4 MedicationRequest"""
    return {
        "resourceType": "MedicationRequest",
        "id": medication_data.get('id', 'med-request-1'),
        "status": "active",
        "intent": "order",
        "medicationCodeableConcept": {
            "coding": [{
                "system": "http://www.nlm.nih.gov/research/umls/rxnorm",
                "code": medication_data.get('rxnorm_code', ''),
                "display": medication_data.get('name', '')
            }],
            "text": medication_data.get('name', '')
        },
        "subject": {
            "reference": patient_reference,
            "display": "Patient"
        },
        "authoredOn": medication_data.get('date', ''),
        "dosageInstruction": [{
            "text": medication_data.get('sig', ''),
            "timing": {
                "repeat": {
                    "frequency": medication_data.get('frequency', 1),
                    "period": 1,
                    : ,
                    : [medication_data.get(, )]
                }
            },
            : {
                : [{
                    : ,
                    : medication_data.get(, ),
                    : medication_data.get(, )
                }]
            },
            : [{
                : {
                    : medication_data.get(, ),
                    : medication_data.get(, ),
                    : ,
                    : medication_data.get(, )
                }
            }]
        }],
        : {
            : {
                : medication_data.get(, ),
                : 
            },
            : {
                : medication_data.get(, ),
                : 
            }
        }
    }

3. Observation Resource (Lab Results, Vitals)

def create_observation(obs_data, patient_reference):
    """Generate FHIR R4 Observation for lab results or vitals"""
    return {
        "resourceType": "Observation",
        "id": obs_data.get('id', 'obs-1'),
        "status": "final",
        "category": [{
            "coding": [{
                "system": "http://terminology.hl7.org/CodeSystem/observation-category",
                "code": obs_data.get('category', 'laboratory'),
                "display": obs_data.get('category_display', 'Laboratory')
            }]
        }],
        "code": {
            "coding": [{
                "system": "http://loinc.org",
                "code": obs_data.get('loinc_code', ''),
                "display": obs_data.get('test_name', '')
            }],
            "text": obs_data.get('test_name', '')
        },
        "subject": {
            "reference": patient_reference
        },
        "effectiveDateTime": obs_data.get('date', ''),
        "valueQuantity": {
            "value": obs_data.get('value', 0),
            "unit": obs_data.get(, ),
            : ,
            : obs_data.get(, )
        },
        : [{
            : {
                : obs_data.get(, ),
                : obs_data.get(, )
            },
            : {
                : obs_data.get(, ),
                : obs_data.get(, )
            }
        }]
    }

4. Condition/Diagnosis Resource

def create_condition(diagnosis_data, patient_reference):
    """Generate FHIR R4 Condition resource"""
    return {
        "resourceType": "Condition",
        "id": diagnosis_data.get('id', 'condition-1'),
        "clinicalStatus": {
            "coding": [{
                "system": "http://terminology.hl7.org/CodeSystem/condition-clinical",
                "code": diagnosis_data.get('clinical_status', 'active')
            }]
        },
        "verificationStatus": {
            "coding": [{
                "system": "http://terminology.hl7.org/CodeSystem/condition-ver-status",
                "code": "confirmed"
            }]
        },
        "category": [{
            "coding": [{
                "system": "http://terminology.hl7.org/CodeSystem/condition-category",
                "code": "encounter-diagnosis",
                "display": "Encounter Diagnosis"
            }]
        }],
        "severity": {
            "coding": [{
                "system": "http://snomed.info/sct",
                "code": diagnosis_data.get('severity_code', '24484000'),
                "display": diagnosis_data.get('severity', 'Severe')
            }]
        },
        "code": {
            : [{
                : ,
                : diagnosis_data.get(, ),
                : diagnosis_data.get(, )
            }, {
                : ,
                : diagnosis_data.get(, ),
                : diagnosis_data.get(, )
            }],
            : diagnosis_data.get(, )
        },
        : {
            : patient_reference
        },
        : diagnosis_data.get(, ),
        : diagnosis_data.get(, )
    }

5. DiagnosticReport Resource

def create_diagnostic_report(report_data, patient_reference, observations):
    """Generate FHIR R4 DiagnosticReport"""
    return {
        "resourceType": "DiagnosticReport",
        "id": report_data.get('id', 'report-1'),
        "status": "final",
        "category": [{
            "coding": [{
                "system": "http://terminology.hl7.org/CodeSystem/v2-0074",
                "code": "LAB",
                "display": "Laboratory"
            }]
        }],
        "code": {
            "coding": [{
                "system": "http://loinc.org",
                "code": report_data.get('loinc_code', ''),
                "display": report_data.get('report_name', '')
            }],
            "text": report_data.get('report_name', '')
        },
        "subject": {
            "reference": patient_reference
        },
        "effectiveDateTime": report_data.get('date', ''),
        "issued": report_data.get('issued_date', ''),
        "result": [
            {"reference": f"Observation/{obs_id}"}
             obs_id  observations
        ],
        : report_data.get(, )
    }

FHIR Bundle Creation

def create_fhir_bundle(entries, bundle_type="transaction"):
    """Create FHIR Bundle to group multiple resources"""
    return {
        "resourceType": "Bundle",
        "type": bundle_type,
        "entry": [
            {
                "fullUrl": f"urn:uuid:{entry.get('id', '')}",
                "resource": entry,
                "request": {
                    "method": "POST",
                    "url": entry.get('resourceType', '')
                }
            }
            for entry in entries
        ]
    }

Medical Coding Systems

Common Code Systems

CODE_SYSTEMS = {
    "rxnorm": {
        "system": "http://www.nlm.nih.gov/research/umls/rxnorm",
        "description": "RxNorm - Medication names"
    },
    "snomed": {
        "system": "http://snomed.info/sct",
        "description": "SNOMED CT - Clinical terms"
    },
    "loinc": {
        "system": "http://loinc.org",
        "description": "LOINC - Lab tests and observations"
    },
    "icd10": {
        "system": "http://hl7.org/fhir/sid/icd-10-cm",
        "description": "ICD-10-CM - Diagnoses"
    },
    "cpt": {
        "system": "http://www.ama-assn.org/go/cpt",
        "description": "CPT - Procedures"
    },
    "ucum": {
        "system": "http://unitsofmeasure.org",
        "description": "UCUM - Units of measure"
    }
}

Common LOINC Codes

COMMON_LOINC_CODES = {
    "glucose": "2345-7",  # Glucose [Mass/volume] in Serum or Plasma
    "hba1c": "4548-4",    # Hemoglobin A1c/Hemoglobin.total in Blood
    "cholesterol": "2093-3",  # Cholesterol [Mass/volume] in Serum or Plasma
    "hdl": "2085-9",      # HDL Cholesterol [Mass/volume] in Serum or Plasma
    "ldl": "2089-1",      # LDL Cholesterol [Mass/volume] in Serum or Plasma
    "triglycerides": "2571-8",  # Triglyceride [Mass/volume] in Serum or Plasma
    "creatinine": "2160-0",  # Creatinine [Mass/volume] in Serum or Plasma
    "hemoglobin": "718-7",   # Hemoglobin [Mass/volume] in Blood
    "wbc": "6690-2",      # Leukocytes [#/volume] in Blood
    "platelets": "777-3",  # Platelets [#/volume] in Blood
    "bp_systolic": "8480-6",   # Systolic blood pressure
    "bp_diastolic": "8462-4",  # Diastolic blood pressure
    "heart_rate": "8867-4",    # Heart rate
    "temperature": "8310-5",   # Body temperature
    "weight": "29463-7",   # Body weight
    "height":      
}

FHIR Validation

def validate_fhir_resource(resource):
    """Basic FHIR resource validation"""
    errors = []
    
    # Required fields
    if 'resourceType' not in resource:
        errors.append("Missing required field: resourceType")
    
    # Resource-specific validation
    resource_type = resource.get('resourceType')
    
    if resource_type == 'Patient':
        if 'name' not in resource or not resource['name']:
            errors.append("Patient must have at least one name")
    
    elif resource_type == 'MedicationRequest':
        if 'status' not in resource:
            errors.append("MedicationRequest must have status")
        if resource.get('status') not in ['active', 'on-hold', 'cancelled', 'completed']:
            errors.append(f"Invalid status: {resource.get('status')}")
    
    elif resource_type == 'Observation':
        if 'status' not in resource:
            errors.append("Observation must have status")
            resource:
            errors.append()
    
     {
        : (errors) == ,
        : errors
    }

Complete Medical Document → FHIR Pipeline

def medical_data_to_fhir_bundle(medical_data):
    """Convert complete medical document to FHIR Bundle"""
    
    # Create Patient resource
    patient = create_fhir_patient(medical_data.get('patient', {}))
    patient_ref = f"Patient/{patient['id']}"
    
    resources = [patient]
    
    # Add MedicationRequests
    for med in medical_data.get('medications', []):
        med_request = create_medication_request(med, patient_ref)
        resources.append(med_request)
    
    # Add Observations (lab results, vitals)
    for obs in medical_data.get('observations', []):
        observation = create_observation(obs, patient_ref)
        resources.append(observation)
    
    # Add Conditions (diagnoses)
    for dx in medical_data.get('diagnoses', []):
        condition = create_condition(dx, patient_ref)
        resources.append(condition)
    
    # Create Bundle
    bundle = create_fhir_bundle(resources, bundle_type="transaction")
    
    # Validate all resources
    validation_results = [
        validate_fhir_resource(res) for res in resources
    ]
    
    return {
        "bundle": bundle,
        "validation": validation_results,
        "resource_count": len(resources)
    }

Example Workflows

Example 1: Prescription → FHIR

# Input: OCR extracted prescription data
prescription_data = {
    "patient": {
        "id": "pat-001",
        "first_name": "John",
        "last_name": "Doe",
        "mrn": "MRN123456",
        "birth_date": "1980-01-15"
    },
    "medications": [{
        "id": "med-001",
        "name": "Metformin",
        "rxnorm_code": "860975",
        "dose_value": 500,
        "dose_unit": "mg",
        "frequency": 2,
        "route": "Oral",
        "quantity": 60,
        "days_supply": 30,
        "sig": "Take 500mg by mouth twice daily with meals"
    }]
}

# Generate FHIR Bundle
result = medical_data_to_fhir_bundle(prescription_data)
print(f"Created {result['resource_count']} FHIR resources")

Example 2: Lab Results → FHIR

# Input: OCR extracted lab results
lab_data = {
    "patient": {
        "id": "pat-001",
        "mrn": "MRN123456"
    },
    "observations": [
        {
            "id": "obs-glucose",
            "test_name": "Glucose",
            "loinc_code": "2345-7",
            "value": 126,
            "unit": "mg/dL",
            "ucum_code": "mg/dL",
            "ref_low": 70,
            "ref_high": 99,
            "category": "laboratory",
            "date": "2024-11-22T10:30:00Z"
        },
        {
            "id": "obs-hba1c",
            "test_name": "Hemoglobin A1c",
            "loinc_code": "4548-4",
            "value": 7.2,
            "unit": "%",
            "ucum_code": "%",
            "ref_low": 4.0,
            "ref_high": 5.6,
            "category": "laboratory",
            "date": "2024-11-22T10:30:00Z"
        }
    ]
}

# Generate FHIR Bundle
result = medical_data_to_fhir_bundle(lab_data)

Best Practices

1. Always validate FHIR resources before submission
2. Use standard code systems (LOINC, SNOMED, RxNorm, ICD-10)
3. Include meaningful text alongside coded values
4. Provide reference ranges for observations
5. Use appropriate status codes (active, final, entered-in-error, etc.)
6. Include timestamps (effectiveDateTime, authoredOn, etc.)
7. Link resources properly using references
8. Document source of data (OCR extraction, manual entry, etc.)

Integration with Agents

This skill integrates with:

• HEALTHCARELINC: Receives structured medical data
• COMPLIANCELINC: Validates HIPAA compliance
• Medical-OCR: Receives OCR-extracted data

Resources

• FHIR R4 Specification
• LOINC Codes
• SNOMED CT
• RxNorm
• FHIR Validator

---

Version: 1.0.0
Last Updated: 2024-11-22
FHIR Version: R4
Maintainer: Doctors-Linc Development Team