PharmaChain: Blockchain-based drug supply chain provenance verification system

Gomasta, Sarmistha Sarna; Dhali, Aditi; Tahlil, Tahlil; Anwar, Musfique; Ali, A. B. M. Shawkat

doi:10.1016/j.heliyon.2023.e17957

Cited by 10 publications

(2 citation statements)

References 30 publications

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“…Besides, a blockchain-based drug supply chain initiative, PharmaChain, utilizes AI for approaches against drug counterfeit and ensures the drug supply chain is more traceable, visible, and secure. For online pharmacies, this means a more reliable supply chain and assurance of drug authenticity, crucial for maintaining trust and safety [ 153 ].…”

Section: Technological Innovations and Future Trends In Global Pharmacymentioning

confidence: 99%

The digital transformation in pharmacy: embracing online platforms and the cosmeceutical paradigm shift

Almeman

2024

J Health Popul Nutr

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In the face of rapid technological advancement, the pharmacy sector is undergoing a significant digital transformation. This review explores the transformative impact of digitalization in the global pharmacy sector. We illustrated how advancements in technologies like artificial intelligence, blockchain, and online platforms are reshaping pharmacy services and education. The paper provides a comprehensive overview of the growth of online pharmacy platforms and the pivotal role of telepharmacy and telehealth during the COVID-19 pandemic. Additionally, it discusses the burgeoning cosmeceutical market within online pharmacies, the regulatory challenges faced globally, and the private sector’s influence on healthcare technology. Conclusively, the paper highlights future trends and technological innovations, underscoring the dynamic evolution of the pharmacy landscape in response to digital transformation.

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Section: Technological Innovations and Future Trends In Global Pharmacymentioning

confidence: 99%

The digital transformation in pharmacy: embracing online platforms and the cosmeceutical paradigm shift

Almeman

2024

J Health Popul Nutr

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“…Building on these developments, additional initiatives are underway to further leverage the potential of blockchain in the pharmaceutical industry. For example, projects like PharmaChain [9], focus on improving drug traceability and authentication. This system uses blockchain to record every step of a medicine's journey from manufacturing to the end user, ensuring authenticity and compliance with regulations.…”

Section: Overview Of Blockchain Technologymentioning

confidence: 99%

Blockchain technology for advanced therapy medicinal products: Applications in tracking, data sharing, and supply chain automation

Aguilar-Gallardo,

Bonora-Centelles

2024

J. Pharm. Biopharm. Res.

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Advanced therapy medicinal products (ATMPs) like cell and gene therapies offer transformative treatment options for many diseases. However, coordinating the decentralized, patient-specific manufacturing of autologous ATMPs across multiple hospitals poses major supply chain challenges. This paper provides a comprehensive analysis of how blockchain technology can enhance decentralized ATMP manufacturing networks. First, background on ATMPs and complexities of decentralized production is reviewed. An overview of blockchain architecture, key attributes, and existing use cases then follows. The major opportunities for blockchain integration in ATMP manufacturing are discussed in depth, including tracking autologous products across locations, enabling data sharing between hospitals to power AI-based optimization, automating supply chain processes, and maintaining provenance records. Critical limitations around scalability, privacy, regulation, and adoption barriers are examined. Design considerations for developing blockchain ecosystems tailored to the unique ATMP environment are also explored. Blockchain shows immense promise for transforming visibility, coordination, automation, and data unification in decentralized ATMP manufacturing networks. Despite current challenges, blockchain is prepared to profoundly impact the advancement of personalized cell and gene therapies through enhanced supply chain instrumentation. This paper provides a comprehensive analysis of this emerging technological innovation and its applications to address critical needs in ATMP translation and manufacturing.

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Intelligent privacy‐preserving data management framework for medicine supply chain system

Hathaliya,

Tanwar

2024

Security and Privacy

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In today's era, the pharmaceutical industry has integrated blockchain to secure the sensitive information of medicines, wherein public and private blockchains are used to preserve the security and privacy of the medicine supply chain data. However, conventional blockchains often limit scalability due to limited storage. Moreover, blockchain has loopholes; for example, it is not able to prove the validity of the data prior to being stored in the blockchain, which leads to fake data being added to the blockchain. As a result, it causes an issue of data provenance. Motivated by this, the proposed framework incorporated artificial intelligence (AI) algorithms to enhance the efficiency of the medicine supply chain data. The proposed framework integrated machine learning (ML) and blockchain, where ML classifies the valid and invalid data of the medicine supply chain, whereas blockchain stores only valid data and maintains its security and privacy. This identification helps the blockchain to verify medicine supply chain data before adding it to the blockchain. Additionally, we employed an InterPlanetary file system (IPFS) that saves medicine supply chain data and computes its hash to offer decentralized storage. Further, this hash data is stored on a private Hyperledger Fabric blockchain, which requires minimal storage instead of storing an entire large file. This minimal storage optimizes the process of data storage and retrieval in the Hyperledger Fabric blockchain, which enhances the scalability of the proposed framework. Finally, the result of the proposed framework is assessed in two phases: ML and blockchain, wherein the ML model's performance is measured by statistical measures and the blockchain‐based result is assessed using several performance parameters such as throughput is around (618 transactions per second), latency (0.12 s), response time (11 s) and data rate (282 Mbps).

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PharmaChain: Blockchain-based drug supply chain provenance verification system

Cited by 10 publications

References 30 publications

The digital transformation in pharmacy: embracing online platforms and the cosmeceutical paradigm shift

The digital transformation in pharmacy: embracing online platforms and the cosmeceutical paradigm shift

Blockchain technology for advanced therapy medicinal products: Applications in tracking, data sharing, and supply chain automation

Intelligent privacy‐preserving data management framework for medicine supply chain system

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