
💊 Pharma & Life Sciences · Deployment · Pro
An IoT deployment that watches vaccine temperatures from warehouse to clinic, with alerts when the cold chain breaks.
Deployment diagrams are part of Pro. Anyone can view this one; generating and editing it needs Pro.
Drawing diagram…
Vaccine cold chain monitoring deployment: temperature loggers in freezers, reefer trucks and clinic fridges send readings over LTE and MQTT to AWS IoT Core. AWS Lambda checks for excursions and sends alerts via Amazon SNS (SMS and email). Readings are stored in Amazon Timestream, shipment records in Amazon DynamoDB, and dashboards run on Grafana.
flowchart TD
subgraph FIELD["Field Devices"]
L1[Freezer Loggers]
L2[Reefer Truck Loggers]
L3[Clinic Fridge Loggers]
end
subgraph CLOUD["AWS"]
IOT["AWS IoT Core"]
RULE["AWS Lambda Excursion Check"]
TS[("Amazon Timestream")]
DDB[("Amazon DynamoDB Shipments")]
SNS["Amazon SNS Alerts"]
end
DASH["Grafana Dashboards"]
MGR[Depot Manager]
L1 -->|"MQTT over LTE"| IOT
L2 -->|"MQTT over LTE"| IOT
L3 -->|"MQTT over LTE"| IOT
IOT --> TS
IOT --> RULE
RULE --> DDB
RULE -->|"excursion"| SNS --> MGR
TS --> DASHThe states of a laboratory sample in a LIMS, from collection to reporting and disposal, with rejection and re-testing.
How a suspected side effect reported by a doctor or patient is captured, assessed and reported to the regulator on time (pharmacovigilance).
The systems that run a clinical trial: trial management, electronic data capture, randomisation, drug supply and safety reporting.
How medicine packs are serialised and traced from factory to pharmacy to stop counterfeits: unique codes, aggregation and verification.
How a pharmaceutical company prepares and files a marketing application (dossier) with regulators and handles their queries.
A schema for electronic batch records in pharmaceutical manufacturing: products, master recipes, batches, steps, materials used and deviations.