Python, Django, PostgreSQL
The client, ARTiFACTS, provides platform solutions designed to validate evidence for science and commerce, aiming to enhance the research ecosystem and increase drug safety in low- and middle-income countries (LMICs).
The client came up with the idea to create a full-fledged platform to track and monitor the quality and safety of pharmaceutical products entering the market and inform mitigation action for stakeholders, including pharma manufacturers and distributors, regulatory agencies, and healthcare providers. The concept grew out of the need to reduce the number of substandard and falsified (SF) drugs in LMICs, which currently stands at about 10% and significantly undermines public health.
We had previously collaborated with ARTiFACTS, so they turned to us right away as a vendor with well-established expertise in software development.
Our goal was to create a platform, ARTiFACTS Verify, which has no analogs in the pharmaceutical domain, designed to track chain-of-custody throughout the entire drug supply chain all in one spot.
Build extensive business logic for data processing and synchronize, merge, and unify fragmented data from numerous sources to work as a single unit, such as laboratories, universities, and government agencies from different continents.
Implement blockchain technology into the system, a breakthrough solution for the niche that ensures the immutability of records and the chain of custody.
Perform third-party integrations with mobile in-field drug testing devices.
The NIX team created a web application hosted on AWS, in which the process for identifying and reporting on SF prescription products was the following:
The functionality of the platform comprised the following:
The ARTiFACTS Verify system had to collect and consolidate tons of data into a single database. This is conditioned by the fact the client engages analytical testing labs in the USA, Ethiopia, Kenya, and Malawi into drug testing processes and continues to expand its geographic reach. Data tracking and monitoring are accomplished by connecting central, collection, and college labs with regulatory authorities like the Ethiopian Food and Drug Administration (EFDA).
We developed extensive business logic, binding and synchronizing all the stacked records from different sources. Flexible and consistent processes ensured stable and timely release of data processing status and accuracy in the display of final results.
The NIX team deployed a blockchain node with developed smart contracts connected to the Bloxberg blockchain network. Smart contracts govern transactions for validating and verifying before appending them to a ledger. Leveraging a distributed ledger provides an irrefutable chain of custody in real-time for data such as records about samples, delivery packages, actors, tasks, locations, etc.
We created two independent services with their own databases and Redis as an event bus:
Staff works on the distributed responsibility principle. For this, the platform envisaged certain roles for participants with different access rights—admin, site manager, inventory manager, and laboratory assistant.
Our experts enabled data processed by the newest laboratory equipment to run through the platform and be stored in the cloud. Testing via PAD, an effective screening tool for drug testing in-field, supports upwards of 40% of WHO Essential Medicines. We made integration with the client’s PAD-reader iOS application, in which user authentication is executed through QR-code scanning without signing in via login and password.
Shortly, it is planned to integrate temperature sensor tracking devices needed for temperature control during the shipment of temperature-sensitive medicines, such as chemotherapy drugs, and integration with an Android version of the PAD-reader.
The NIX team helped the client to create a full-fledged platform for monitoring the pharmaceutical supply chain and controlling the quality of medical drugs coming onto the market. ARTiFACTS Verify decreases the amount of SF products influencing the situation on the state level and increases the overall public health in LMICs for now and in the near term worldwide.
The pilot product rapidly attracted the attention of different pharmaceutical representatives. At the moment, ARTiFACTS Verify has already partnered with 15+ organizations, including laboratories, universities and public health regulatory authorities.
We continue to work on the project to expand the functionality of the platform. In the near future an AI-based neural network, already invoked for generic medicines, will be enhanced to provide real-time and actionable analytics for many other active pharmaceutical ingredients.
12 people (1 Project Manager, 1 Business Analyst/Product Owner, 1 Architect, 1 Lead Engineer, 3 Full-stack Engineers (Python + Frontend), 1 UI/UX Designer, 1 Markup Engineer, 1 DevOps, 2 QA Engineer)
redux, Python, PostgreSQL, React.js, Django, Rancher
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