Implement pharmaceutical serialisation and track-and-trace systems compliant with EU FMD, US DSCSA, and other global regulations. Covers unique identifier generation, aggregation hierarchy, EPCIS data exchange, and verification endpoint integration. Use when implementing serialisation for a new product launch, integrating with the EMVS/NMVS, designing DSCSA-compliant transaction exchange, building an EPCIS event repository, or extending serialisation to additional markets (China, Brazil, Russia).
Set up pharmaceutical serialisation systems for regulatory compliance with global track-and-trace mandates.
| 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):
DSCSA transaction information:
Expected: Clear understanding of which regulations apply to each product-market combination. On failure: Engage regulatory affairs to confirm market requirements before proceeding.
-- 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.
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.
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:
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.
MAH → Upload serial data → EU Hub → Distribute to National Systems (NMVS)
├── Germany (securPharm)
├── France (CTS)
├── Italy (AIFA)
└── ... 31 markets
API operations:
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.
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 unitpacking — aggregation into cases/palletsshipping — departure from a locationreceiving — arrival at a locationdispensing — 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.
perform-csv-assessment — validate serialisation system as a computerised systemconduct-gxp-audit — audit serialisation processesimplement-audit-trail — audit trail for serialisation eventsserialize-data-formats — general data serialisation (different domain, complementary concepts)design-serialization-schema — schema design for data exchange formatsnpx skills add pjt222/implement-pharma-serialisation下载完整 Skill 目录,包含 SKILL.md 及所有相关文件
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