Project Overview
Pharmaceutical supply chains involve complex characteristics and intricate data flow processes, including multiple stakeholders. These complexities give rise to numerous challenges concerning data integration and flow. This research proposes to address these challenges by combining two emerging technologies to suggest unique solutions.
Based on the findings of our recent survey, it has been determined that an integration of Blockchain (BC) and Semantic (ST) Technologies would be an ideal match to supply chains. The implementation of BC offers a secure and transparent means of storing and verifying data, eliminating central authorities. On the other hand, the incorporation of ST provides interpretation to data, thus enhancing the understanding and processing of information by automated systems.
This research aims to propose an up-to-date solution for resolving data flow and integration challenges, particularly those arising from data heterogeneity. Combining Blockchain (BC) and Semantic Technologies (ST) offers a straightforward approach to address these issues effectively.
Project Aims
The aim of this research is to propose a unique approach by combining Blockchain and Semantic technologies, offering a distinct solution to address existing challenges within data in pharmaceutical supply chains. Unlike many other papers and research that primarily focus on theoretical aspects of this combination.
The research aims to gain a comprehensive understanding of the challenges posed by data heterogeneity and propose suitable technical solutions to effectively tackle the identified issues.
Period: Oct 2021 – Oct 2025
Objectives:
- Understanding the complexity of PSC to advance improvements in patient safety.
- Presenting an in-depth analysis of complex systems like PSC.
- Preventing counterfeit drugs, monitoring a full PSC operation in an accurate way.
- Providing accurate statistics of targeted medication for counterfeit drugs and their sales.
- Monitoring drug availability with achieving high standard level of drug safety.
- Finding technical challenges related to data and systems in the current used systems.
- Looking at the problem of data heterogeneity and data integration in supply chains industry in detail.
Impact: This research project is sponsored by Princess Nourah Bint Abdulrahman University in Riyadh, Saudi Arabia, in relation with Swansea University. The research work will be conducted in close collaboration with various government organizations in Saudi Arabia as a case study, aiming to address specific challenges related to data flow and integration within the PSC.
The project will involve a number of stakeholders within the PSC in Saudi Arabia. The first organization is the National Unified Procurement Company (NUBCO) which is the leading company in Saudi Arabia in procurement, logistics and supply chain management for pharmaceutical, medical devices and supplies for governmental hospitals in Saudi Arabia. The second one is RSD which is Drug Track and Trace enhances Saudi Food & Drug Authority’s role in protecting society and guaranteeing the safety of all drugs by knowing their origin starting from manufacturing phase until consumption. The last one is KAAUH which is a government hospital that belongs to Princess Nourah University.
NUPCO and RSD are in charge for the movement, tracking, tracing and exchange of data and information among various stakeholders. This data flow encompasses multiple processes, such as procurement, manufacturing, distribution, and patient care. It includes the collection, storage, transmission, and analysis of data related to drug production, inventory management, regulatory compliance, patient information, and more. KAAUH is the hospital example of the stakeholders.
By applying the combination of BC and ST Technologies, we will ensure a seamless and secure data flow which is essential for optimizing efficiency, transparency, and collaboration throughout the pharmaceutical supply chain.
Project Team
Mrs Anwar Alsamani, PhD student
Prof. Arnold Beckmann, Department of Computer Science
Dr Anton Setzer, Department of Computer Science