Implement Pharmaceutical Serialisation

Implement Pharmaceutical Serialisation

Set up pharmaceutical serialisation systems for regulatory compliance with global track-and-trace mandates.

When to Use

• Implementing serialisation for a new product launch in the EU or US market
• Integrating with the European Medicines Verification System (EMVS/NMVS)
• Designing DSCSA-compliant transaction information exchange
• Building or integrating an EPCIS event repository for supply chain visibility
• Extending serialisation to additional markets (China NMPA, Brazil ANVISA, etc.)

Inputs

• Required: Product information (GTIN, product code, dosage form, pack sizes)
• Required: Target market regulations (EU FMD, DSCSA, or both)
• Required: Packaging hierarchy (unit, bundle, case, pallet)
• Optional: Existing ERP/MES system details for integration
• Optional: Contract manufacturer serialisation capabilities
• Optional: Verification endpoint specifications

Procedure

Step 1: Understand the Regulatory Landscape

Regulation	Region	Key Requirements	Deadline
EU FMD (2011/62/EU)	EU/EEA	Unique identifier + tamper-evident feature on each unit	Live since Feb 2019
DSCSA	USA	Electronic, interoperable tracing at package level	Full enforcement Nov 2024+
China NMPA	China	Unique drug traceability code per minimum saleable unit	Rolling
Brazil ANVISA (SNCM)	Brazil	Serialisation of pharmaceuticals with IUM	Rolling
Russia MDLP	Russia	Crypto-code per unit, mandatory scanning	Live

Key data elements per regulation:

EU FMD unique identifier (per Delegated Regulation 2016/161):

• Product code (GTIN-14 from GS1)
• Serial number (up to 20 alphanumeric characters, randomised)
• Batch/lot number
• Expiry date

DSCSA transaction information:

• Product identifier (NDC/GTIN, serial number, lot, expiry)
• Transaction information (date, entities, shipment details)
• Transaction history and transaction statement
• Verification at package level

Expected: Clear understanding of which regulations apply to each product-market combination. On failure: Engage regulatory affairs to confirm market requirements before proceeding.

Step 2: Design the Serialisation Data Model

-- Core serialisation data model
CREATE TABLE serial_numbers (
    id BIGSERIAL PRIMARY KEY,
    gtin VARCHAR(14) NOT NULL,          -- GS1 GTIN-14
    serial_number VARCHAR(20) NOT NULL,  -- Unique per GTIN
    batch_lot VARCHAR(20) NOT NULL,
    expiry_date DATE NOT NULL,
    status VARCHAR(20) DEFAULT 'ACTIVE', -- ACTIVE, DECOMMISSIONED, DISPENSED, etc.
    created_at TIMESTAMPTZ DEFAULT NOW(),
    UNIQUE(gtin, serial_number)
);

-- Aggregation hierarchy
CREATE TABLE aggregation (
    id BIGSERIAL PRIMARY KEY,
    parent_code VARCHAR(50) NOT NULL,     -- SSCC or higher-level code
    parent_level VARCHAR(10) NOT NULL,    -- CASE, PALLET, BUNDLE
    child_code VARCHAR(50) NOT NULL,      -- GTIN+serial or child SSCC
    child_level VARCHAR(10) NOT NULL,     -- UNIT, BUNDLE, CASE
    aggregation_event_id UUID NOT NULL,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

-- EPCIS events
CREATE TABLE epcis_events (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    event_type VARCHAR(30) NOT NULL,      -- ObjectEvent, AggregationEvent, TransactionEvent
    action VARCHAR(10) NOT NULL,          -- ADD, OBSERVE, DELETE
    biz_step VARCHAR(100),               -- urn:epcglobal:cbv:bizstep:commissioning
    disposition VARCHAR(100),             -- urn:epcglobal:cbv:disp:active
    read_point VARCHAR(100),             -- urn:epc:id:sgln:location
    event_time TIMESTAMPTZ NOT NULL,
    event_timezone VARCHAR(6) NOT NULL,
    payload JSONB NOT NULL,
    created_at TIMESTAMPTZ DEFAULT NOW()
);

Aggregation hierarchy:

Pallet (SSCC)
  └── Case (SSCC)
       └── Bundle (GTIN + serial) [optional level]
            └── Unit (GTIN + serial)

Expected: Data model supports full pack hierarchy with EPCIS event tracking. On failure: If existing ERP schema conflicts, design an integration layer rather than modifying ERP directly.

Step 3: Implement Serial Number Generation

import secrets
import string

def generate_serial_number(length: int = 20, charset: str = None) -> str:
    """Generate a random serial number compliant with GS1 standards.

    EU FMD requires randomised serial numbers to prevent prediction.
    Max 20 characters, alphanumeric (GS1 Application Identifier 21).
    """
    if charset is None:
        # GS1 AI(21) allows: digits, uppercase, lowercase, and some special chars
        # Most implementations use alphanumeric only for interoperability
        charset = string.ascii_uppercase + string.digits
    return ''.join(secrets.choice(charset) for _ in range(length))


def generate_serial_batch(gtin: str, batch_lot: str, expiry: str, count: int) -> list:
    """Generate a batch of unique serial numbers for a production run."""
    serials = set()
    while len(serials) < count:
        serials.add(generate_serial_number())
    return [
        {
            "gtin": gtin,
            "serial_number": sn,
            "batch_lot": batch_lot,
            "expiry_date": expiry,
            "status": "COMMISSIONED"
        }
        for sn in serials
    ]

Expected: Serial numbers are cryptographically random, unique per GTIN, and stored before printing. On failure: If a uniqueness collision occurs, regenerate the conflicting serial and log the event.

Step 4: Implement GS1 DataMatrix Encoding

The 2D DataMatrix barcode encodes the GS1 element string:

(01)GTIN(21)Serial(10)Batch(17)Expiry

Example:

(01)05012345678901(21)A1B2C3D4E5(10)LOT123(17)261231

Where:

• AI(01) = GTIN-14
• AI(21) = Serial number
• AI(10) = Batch/lot number
• AI(17) = Expiry date (YYMMDD)

The GS1 DataMatrix uses FNC1 as a separator (GS character, ASCII 29) between variable-length fields.

def encode_gs1_element_string(gtin: str, serial: str, batch: str, expiry: str) -> str:
    """Encode GS1 element string for DataMatrix printing.

    FNC1 (GS character \\x1d) separates variable-length fields.
    AI(01) and AI(17) are fixed length, so no separator needed after them.
    AI(21) and AI(10) are variable length and need FNC1 terminator.
    """
    GS = '\x1d'  # GS1 FNC1 / Group Separator
    return f"01{gtin}21{serial}{GS}10{batch}{GS}17{expiry}"

Expected: Encoded strings verified by scanning test prints with a GS1-certified verifier (ISO 15415 grade C or above). On failure: If scan verification fails, check print quality, quiet zones, and encoding order.

Step 5: Integrate with National Verification Systems

EU FMD — EMVS/NMVS Integration

MAH → Upload serial data → EU Hub → Distribute to National Systems (NMVS)
                                      ├── Germany (securPharm)
                                      ├── France (CTS)
                                      ├── Italy (AIFA)
                                      └── ... 31 markets

API operations:

1. Upload (MAH → EU Hub): Batch upload of commissioned serial numbers
2. Verify (Pharmacy → NMVS): Check serial status before dispensing
3. Decommission (Pharmacy → NMVS): Mark as dispensed at point of sale
4. Reactivate (MAH → NMVS): Reverse accidental decommission

DSCSA — Verification Router Service

Trading Partner A → VRS Request → Verification Router → MAH's VRS → Response

Implement a VRS responder endpoint:

# Simplified VRS endpoint (DSCSA verification)
from fastapi import FastAPI, HTTPException

app = FastAPI()

@app.get("/verify/{gtin}/{serial}/{lot}/{expiry}")
async def verify_product(gtin: str, serial: str, lot: str, expiry: str):
    """DSCSA product verification endpoint."""
    record = await lookup_serial(gtin, serial)
    if record is None:
        return {"verified": False, "reason": "SERIAL_NOT_FOUND"}
    if record.batch_lot != lot or str(record.expiry_date) != expiry:
        return {"verified": False, "reason": "DATA_MISMATCH"}
    if record.status != "ACTIVE":
        return {"verified": False, "reason": f"STATUS_{record.status}"}
    return {"verified": True, "status": record.status}

Expected: Verification endpoints respond within 1 second with correct status. On failure: If national system upload fails, retry with exponential backoff and alert operations.

Step 6: Implement EPCIS Event Capture

Record supply chain events in EPCIS 2.0 format:

{
  "@context": "https://ref.gs1.org/standards/epcis/2.0.0/epcis-context.jsonld",
  "type": "ObjectEvent",
  "eventTime": "2025-03-15T10:30:00.000+01:00",
  "eventTimeZoneOffset": "+01:00",
  "epcList": ["urn:epc:id:sgtin:5012345.067890.A1B2C3D4E5"],
  "action": "ADD",
  "bizStep": "urn:epcglobal:cbv:bizstep:commissioning",
  "disposition": "urn:epcglobal:cbv:disp:active",
  "readPoint": {"id": "urn:epc:id:sgln:5012345.00001.0"},
  "bizLocation": {"id": "urn:epc:id:sgln:5012345.00001.0"}
}

Key business steps in the pharma supply chain:

• commissioning — serial number assigned to physical unit
• packing — aggregation into cases/pallets
• shipping — departure from a location
• receiving — arrival at a location
• dispensing — supplied to patient (decommission trigger)

Expected: Every status change generates an EPCIS event with correct timestamps and locations. On failure: Failed event capture must be queued and retried; never silently dropped.

Validation

• Serial numbers are randomised and unique per GTIN
• GS1 DataMatrix encoding verified by barcode scanner (ISO 15415 grade C+)
• Aggregation hierarchy correctly links units → bundles → cases → pallets
• National verification system integration tested (upload, verify, decommission)
• EPCIS events captured for all business steps
• Verification endpoint responds within 1 second
• Exception handling covers upload failures, scan failures, and network errors

Common Pitfalls

• Sequential serial numbers: EU FMD explicitly requires randomisation to prevent counterfeiting. Never use sequential numbering.
• Aggregation errors: Disaggregation (breaking a case) must update the hierarchy. Shipping a case with wrong child associations causes verification failures downstream.
• Timezone handling: EPCIS events must include timezone offset. Using local time without offset causes event ordering ambiguity across sites.
• Late uploads: Serial data must be uploaded to national systems before product enters the supply chain. Late upload = product flagged as suspicious at pharmacy.
• Ignoring exceptions: Legitimate products get flagged (false alerts) regularly. A process for investigating and resolving alerts is essential.

Related Skills

• perform-csv-assessment — validate serialisation system as a computerised system
• conduct-gxp-audit — audit serialisation processes
• implement-audit-trail — audit trail for serialisation events
• serialize-data-formats — general data serialisation (different domain, complementary concepts)
• design-serialization-schema — schema design for data exchange formats