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1. A Blockchain-based approach for
Drug Traceability in Healthcare
Supply Chain
Presented By:
Kiran Bhagwat

2. CONTENTS
 Introduction
 Literature Review
 Problem Statement
 Methodology
 Advantages
 Application
 Algorithm
 Motivation
 Objectives
 Block Diagram
 System Requirements
 Module Split Up
 Conclusion
 Reference

3. INTRODUCTION
 A blockchain system can be considered as a virtually incorruptible cryptographic database
where critical medical information and health supply chain could be recorded. The system
is maintained by a network of computers, that is accessible to anyone running the software.
Blockchain operates as a pseudo-anonymous system that has still privacy issue since all
transactions are exposed to the public, even though it is tamper-proof in the sense of data-
integrity.
 The access control of heterogeneous patients’ healthcare records across multiple health
institutions and devices needed to be carefully designed. Blockchain itself is not designed
as the large-scale storage system. In the context healthcare, a decentralized storage
solution would greatly complement the weakness of blockchain in the perspective.

4. EXISTING SYSTEM
 In traditional storage where all data is store in only one place called
centralized storage, the chances of data security are less as
compared to decentralized storage due to the owner of centralized
storage could monitor the data and it can be altered or theft. With
the quick requirement to access data, each individual wants to
retrieve their data instantly and more securely for this reason
decentralized storage is developed. In decentralized storage data is
stored in more than one data block; this itself reduces the chances
of data reaching the data stealers. Because data stealers unaware
of where the rest of the data is stored, due to this reason
decentralized storage is popular and used widely.
 As shown in fig. all data user who wants to access their data is
dependent on only one server. Due to this bottleneck can arises and
results in a longer time needed to access data because of high load
on single point server.

5. LITERATURE REVIEW
Sr.
No.
Authors Algorithm Advantage Limitation
01 Gupta A, Patel J, Gupta
M, Gupta H.
Map
Reduce
The technology is more scalable,
tamper proof and time stamped,
making health data more secure.
Large amount of Dataset
Required.
02 Ariel Ekblaw, Asaph
Azaria, John D.
Halamka, Andrew
Lippman
Map
Reduce
This system gives patients a
comprehensive, immutable log
and easy access to their medical
information across providers and
treatment sites.
face a critical need for
Electronic Health
Records (EHRs).
03 Jie Zhang Nian Xue and
Xin Huang
Association
Protocol
Propose a secure system for
PSN-based healthcare.
Problem with a PSN
node can securely share
health data with other
nodes in the network
04 Saad Khan, Simon
Parkinson and Yongrui
Qin
Advanced
Encryption
Standard
Fog systems are capable of
processing large amounts of data
locally, operate on-premise, are
fully portable
Consuming limited
amount of
resources.

6. PROBLEM STATEMENT
 In the proposed research work to design and implement a system for
health care data with supply chain, where user can store all information in
single blockchain without any trusted third party (TTP) in data computing
environment.
 The system also carried out data integrity, confidentiality as well as
eliminate the inconsistency for end user.

7. METHODOLOGY
 Blockchain offers the opportunity to enable access to longitudinal,
complete, and tamper-aware medical records that are stored in fragmented
systems in a secure and pseudo-anonymous fashion.
 The proposed work carried out blockchain implementation in fog computing
environment and it also provide the automatic recovery of invalid chain.
 This also determines the impact of those security issues and possible
solutions, providing future security-relevant directions to those responsible
for designing, developing, and maintaining the systems.

8. ADVANTAGES
 Large data storage at the required of decentralized data storage as well as information
system.
 The different attack issues in centralized database architectures.
 There are no automatic attack recovery in central data architectures.
 The decentralized architecture provides the automatic data recovery from different
attacks.
 No dummy transaction has accepted by system on same documentary.
 Peer-to-peer global transactions.
 Quality assurance during the transaction
 Immediate show all historical transaction is single click, without any third party interface.

9. APPLICATION
 Healthcare Department
 Research and Development of Healthcare Department
 Healthcare Security System
 Supply Chain System

10. ALGORITHMS
 Algorithms used for Custom Blockchain Technology is as follows:
 Algorithm 1: SHA256 Hash Generation
 Algorithm 2: Mining Algorithm
 Algorithm 3: Consensus Algorithm

11. MOTIVATION
 The world is changing incredibly fast, and we are not all aware of it. Block chain
technology and crypto currencies are an irreversible advancement that is
disrupting established industries and the ways in which we interact financially.
 Big data storage of decentralized data storage as well as information system.
 In this system we can provide drug traceability system using supply chain
module.
 The different attack issues in centralized database architectures.
 There is no automatic attack recovery in central data architectures.
 The decentralized architecture provides the automatic data recovery from
different attacks.

12. OBJECTIVES :-
 To design approach for distributed computing where system store all historical data into
blockchain manner and work on chain consensus module.
 To create a distributed computing environment hierarchy for parallel data processing for
end user’s applications.
 To design implement own SHA family block for whole blockchain.
 Each transaction has stored on dependent blockchain in cloud environment.
 To design and implement a new mining technique for generate new block for each
transaction.
 To implement a verification algorithm which can validate each peer on every access
request.
 To provide drug traceability system using supply chain module.

13. PROPOSED SYSTEM
 Blockchain technology alleviates the reliance on a centralized authority to certify
information integrity and ownership, as well as mediate transactions and exchange of
digital assets, while enabling secure and pseudo-anonymous transactions along with
agreements directly between interacting parties.
 The proposed work carried out blockchain implementation in distributed computing
environment and it also provides the automatic recovery of invalid chain. This also
determines the impact of those security issues and possible solutions, providing future
security-relevant directions to those responsible for designing, developing, and
maintaining distributed systems.
 Accordingly, existing studies have emphasized the need for a robust, end- to-end track
and detect system for pharmaceutical supply chains. In that matter, an end-to-end
product tracking system across the pharmaceutical supply chain is main to ensuring
product safety and removing counterfeits and drug trafficking issues.

14. BLOCK DIAGRAM

15. SYSTEM REQUIREMENTS
Hardware Requirements:
 System : Intel Core i3 2.40GHz.
 Hard Disk : 256 GB (Min)
 IO Devices : Mouse, Keyboard.
 Device Type : Laptop or Computer
 Ram : 4 GB (Min).
Software Requirements:
 Operating System : Windows XP/7/LINUX.
 Front End : .JSP (.Html, .Css, .Js)
 Back End : Mysql 5.5 If Required
 Tool/IDE : Eclipse Oxygen
 Server : Web Server (Tomcat 8.5)

16. MODULES SPLIT UP
 UI Design
 DB Design and DB Creation
 User Authentication
 User Verification
 Patient
 Hospital/Doctor
 Insurance
 Drug Traceability
 Request Evolution
 Custom Blockchain
 SHA256 Hash Generation
 Consensus Algorithm
 Mining Algorithm
 Result

17. FEASIBILITY STUDY
 Blockchain, the digital ledger technology that can securely maintain continuously growing
lists of data records and transactions, has the power to potentially transform health care,
according to industry experts.
 By simplifying and expediting the way the health care industry processes data in such
areas as revenue cycle management, health data interoperability and supply chain
validation, blockchain has the power to dramatically reduce back-office data input and
maintenance costs and improve data accuracy and security.
 This scope of proposed work in below data-driven areas:
 Longitudinal health care records
 Automated health claims adjudication
 Interoperability
 Online patient access

18. CONCLUSION
 Specifically, our proposed solution holds cryptographic fundamentals of block-chain
technology to achieve protected logs of events within the supply chain and uses smart
contracts within Custom blockchain to achieve automated recording of events that are
accessible to all participating collaborators.
 One of the main advantages of blockchain in comparison with other models of distributed
databases is the integration of data processing, ensuring correctness and security in a
single protocol, implemented algorithmically and minimizing the human factor.
 We will continue our efforts to increase the efficiency of pharmaceutical supply chains and
imagine focusing on extending the proposed system to achieve end-to-end transparency
and provability of medicine use as future work.

19. FUTURE SCOPE
 In the future, we will further improve the blockchain powered parallel healthcare
systems (PHS) and make it available for more disease treatments scenarios.
 In future scope we also include the disease prediction model in our proposed work.

20. REFERENCES :-
 Gupta A, Patel J, Gupta M, Gupta H., Issues and Effectiveness of Blockchain Technology on
Digital Voting. International Journal of Engineering and Manufacturing Science, Vol. 7, No. 1.
 Jie Zhang Nian Xue and Xin Huang, “A Secure System For Pervasive Social Network-based
Healthcare”. IEEE Access .
 Saad Khan, Simon Parkinson and Yongrui Qin, “Fog Computing Security: A Review of Current
Applications and Security Solutions”. Journal of Cloud Computing: Advances, Systems and
Applications.
 Ariel Ekblaw, Asaph Azaria, John D. Halamka, MD, Andrew Lippman, “A Case Study For
Blockchain In Healthcare: “Medrec” Prototype For Electronic Health Records and Medical
Research Data.” Using Blockchain For Medical Data Access and Permission Management
August.