Healthcare Expert

Expert guidance for healthcare systems, medical informatics, regulatory compliance (HIPAA), and health data standards (HL7, FHIR).

Core Concepts

Healthcare IT

• Electronic Health Records (EHR)
• Health Information Exchange (HIE)
• Clinical Decision Support Systems
• Telemedicine platforms
• Medical imaging systems (PACS)
• Laboratory information systems

Standards and Protocols

• HL7 (Health Level 7)
• FHIR (Fast Healthcare Interoperability Resources)
• DICOM (Digital Imaging and Communications in Medicine)
• ICD-10 (diagnostic codes)
• CPT (procedure codes)
• SNOMED CT (clinical terminology)

Regulatory Compliance

• HIPAA (Health Insurance Portability and Accountability Act)
• HITECH Act
• GDPR for health data
• FDA regulations for medical devices
• 21 CFR Part 11 for electronic records

FHIR Resource Handling

from fhirclient import client
from fhirclient.models import patient, observation, medication
from datetime import datetime

# FHIR Client setup
settings = {
    'app_id': 'my_healthcare_app',
    'api_base': 'https://fhir.example.com/r4'
}
smart = client.FHIRClient(settings=settings)

# Patient resource
def create_patient(first_name, last_name, gender, birth_date):
    """Create FHIR Patient resource"""
    p = patient.Patient()
    p.name = [{
        'use': 'official',
        'family': last_name,
        'given': [first_name]
    }]
    p.gender = gender  # 'male', 'female', 'other', 'unknown'
    p.birthDate = birth_date.isoformat()

    return p.create(smart.server)

# Observation resource (vital signs)
def create_vital_signs_observation(patient_id, code, value, unit):
    """Create vital signs observation"""
    obs = observation.Observation()
    obs.status = 'final'
    obs.category = [{
        'coding': [{
            'system': 'http://terminology.hl7.org/CodeSystem/observation-category',
            'code': 'vital-signs',
            'display': 'Vital Signs'
        }]
    }]

    obs.code = {
        'coding': [{
            'system': 'http://loinc.org',
            'code': code,  # e.g., '8867-4' for heart rate
            'display': 'Heart rate'
        }]
    }

    obs.subject = {'reference': f'Patient/{patient_id}'}
    obs.effectiveDateTime = datetime.now().isoformat()

    obs.valueQuantity = {
        'value': value,
        'unit': unit,
        'system': 'http://unitsofmeasure.org',
        'code': unit
    }

    return obs.create(smart.server)

# Search patients
def search_patients(family_name=None, given_name=None):
    """Search for patients by name"""
    search = patient.Patient.where(struct={})

    if family_name:
        search = search.where(struct={'family': family_name})
    if given_name:
        search = search.where(struct={'given': given_name})

    return search.perform(smart.server)

# Get patient observations
def get_patient_observations(patient_id, category=None):
    """Retrieve patient observations"""
    search = observation.Observation.where(struct={
        'patient': patient_id
    })

    if category:
        search = search.where(struct={'category': category})

    return search.perform(smart.server)

HL7 v2 Message Processing

import hl7

# Parse HL7 message
def parse_hl7_message(message_text):
    """Parse HL7 v2 message"""
    h = hl7.parse(message_text)

    # Extract message type
    message_type = str(h.segment('MSH')[9])

    # Extract patient information from PID segment
    pid = h.segment('PID')
    patient_info = {
        'patient_id': str(pid[3]),
        'name': str(pid[5]),
        'dob': str(pid[7]),
        'gender': str(pid[8])
    }

    return {
        'message_type': message_type,
        'patient': patient_info
    }

# Create ADT^A01 message (Patient Admission)
def create_admission_message(patient_id, patient_name, dob, gender):
    """Create HL7 ADT^A01 admission message"""
    message = hl7.Message(
        "MSH",
        [
            "MSH", "|", "^~\\&", "SENDING_APP", "SENDING_FACILITY",
            "RECEIVING_APP", "RECEIVING_FACILITY",
            datetime.now().strftime("%Y%m%d%H%M%S"), "",
            "ADT^A01", "MSG00001", "P", "2.5"
        ]
    )

    # PID segment
    message.append(hl7.Segment(
        "PID",
        [
            "PID", "", "", patient_id, "",
            patient_name, "", dob, gender
        ]
    ))

    # PV1 segment (Patient Visit)
    message
how to use healthcare-expert
CursorClaude CodeClineCodexWindsurfGooseGitHub CopilotVS CodeGemini CLIKiloOpencodeKimi CLIRoo ClineAiderContinueZedBolt.newLovablev0Replit AgentSweepSmol DeveloperDevinCavemanAmpAntigravity
How to use healthcare-expert on Cursor
AI-first code editor with Composer
1
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add healthcare-expert
2
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/personamanagmentlayer/pcl --skill healthcare-expertcopy
The skills CLI fetches healthcare-expert from GitHub repository personamanagmentlayer/pcl and configures it for Cursor.
3
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│   • Amp
│   • Antigravity
│   • Cline
│   • Codex
│ ●Cursor(selected)
│   • Cursor
│   • Windsurf
4
Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/healthcare-expert
Reload or restart Cursor to activate healthcare-expert. Access the skill through slash commands (e.g., /healthcare-expert) or your agent's skill management interface.
⚠
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?