Sree Siddaganga Education Society®

SIDDAGANGA INSTITUTE OF TECHNOLOGY, Tumkur

Department of Computer Science and Engineering
Oct 2024 - Jan 2025, 5th semester

Report on
Activity Based Learning (ABL-1)

Subject
Research Methodology and IPR – SHS04

Faculty

Submitted By

NAME USN SIGNATURE

OM AKSHAY 1SI22CS119

MANOJ SINGH 1SI22CS102

 DETAILS OF THE PAPER
 Title: Blockchain-Based Processing of Health Insurance Claims for
Prescription Drugs

 Authors: Aysha Alnuaimi, Amna Alshehhi, Khaled Salah, Raja

Jayaraman, Ilhaam A. Omar, Ammar Battah

 Affiliations: Department of Industrial & Systems Engineering,

Khalifa University of Science and Technology, Abu Dhabi, United
Arab Emirates; Department of Electrical Engineering and Computer
Science, Khalifa University of Science and Technology, Abu Dhabi,
United Arab Emirates

 Journal: IEEE Access

 Volume and Issue: Volume 10, 2022

 DOI: 10.1109/ACCESS.2022.3140198
 JOURNAL AIM & SCOPE
The IEEE Access journal emphasizes publishing multidisciplinary,
open-access articles across diverse IEEE fields. It caters to
practitioners, researchers, and developers, aiming to share high-
quality, application-oriented research. The journal's focus on
innovative and interdisciplinary approaches makes it a suitable
platform for blockchain-based health applications.

IEEE Access is a multidisciplinary, open-access journal of the

IEEE, which publishes articles that are of high interest to readers
original research or development as well as tutorials. The scope
encompasses all IEEE fields of interest, emphasizing applications-
oriented and interdisciplinary articles.
 IDENTIFYING RESEARCH PROBLEM &
KEYWORDS

The paper addresses the inefficiencies and vulnerabilities in current

health insurance claim processing systems, which are susceptible to

fraud, data breaches, and delays. Traditional methods lack

transparency, often leading to disputes among stakeholders. The

keywords include Blockchain, Ethereum, Smart Contracts,

Prescription Drugs, and Insurance Claims, reflecting the core

areas of research.

 Research Problem: The traditional health insurance claim

processing systems are prone to fraud, privacy breaches, and

inefficiencies, particularly concerning prescription drugs.

 Keywords: Blockchain, Ethereum, Insurance Claims,

Prescription Drug, Smart Contracts

 OBJECTIVES

 To develop a blockchain-based system for processing health

insurance claims related to prescription drugs that ensures

privacy, security, trustworthiness, and decentralization.

The primary goal of the study is to design a blockchain-based

system for prescription drug claim processing that ensures security,

privacy, and automation. The secondary objectives include

reducing administrative costs, accelerating reimbursement times,

and fostering trust among stakeholders through transparency.

 MOTIVATION

 The motivation stems from the shortcomings of legacy

systems, such as high susceptibility to fraudulent claims and

inefficiencies in communication between medical care

providers and pharmacies. By incorporating blockchain, the

authors aim to create a robust system that mitigates these

challenges and provides secure, real-time claim tracking.

 The current legacy systems in health insurance claim

processing lead to significant financial losses due to fraudulent

claims and are susceptible to privacy and security threats.

There is also a lack of linkage between medical care providers

and pharmacies, leading to miscommunication and false

prescriptions.
RESEARCH PROCESS FLOW CHART
IDENTIFYING DATA COLLECTION PLAN

 The system would collect data from various stakeholders,

including medical care providers, pharmacies, and insurance

companies, ensuring that only authorized parties have access

to relevant information through a gateway that filters data

visibility.

 The data includes sensitive medical records, prescription

details, insurance policy data, and claim statuses. It is

collected from verified entities such as pharmacies, hospitals,

and insurers using permissioned blockchain access.

 DATA CHARACTERISTICS AND
VISUALISATION TOOLS USED

 The data includes patient information, prescription details,

insurance policy information, and claim statuses. It is sensitive

and requires strict privacy and security measures.

 The paper does not specify particular data visualization tools.

However, it mentions the use of decentralized applications

(DApps) for improved accessibility of centralized patient

information by authorized parties.

IDENTYFYING INSIGHTS AND FINDINGS

 The proposed blockchain-based system enhances traceability

and trustworthiness in processing health insurance claims for

prescription drugs. It integrates off-chain storage and utilizes

smart contracts to automate processes, thereby reducing fraud

and improving efficiency.

 The blockchain-based system addresses the challenges of

fraud, inefficiencies, and data breaches in health insurance

claims. The findings highlight that the use of smart contracts

reduces processing time, ensures data privacy, and improves

overall system trustworthiness.

 SUMMARY

The article proposes a novel blockchain-driven solution to manage

health insurance claims for prescription drugs. By integrating smart

contracts on a private Ethereum network, it ensures secure,

efficient, and decentralized claim handling. The system also

incorporates off-chain storage for scalability and accessibility. This

approach mitigates fraud, enhances transparency, and streamlines

administrative tasks, making it a promising advancement in

healthcare technology.
 ABSTRACTING AND INDEXING

IEEE Access is abstracted and indexed in major databases such as:

 Scopus (Elsevier)

 Web of Science (Clarivate Analytics)

 Google Scholar

 ProQuest IET (The Institution of Engineering and

Technology)

 NLM (US National Library of Medicine)

 CrossRef
 H-INDEX OF AUTHORS

 Aysha Alnuaimi: h-index of 14. She is affiliated with the

Solar Innovation Centre at Dubai Electricity and Water

Authority and focuses on photovoltaic nanotechnology, 2D

materials, and graphene.

 Aamna Alshehhi: h-index of 10. She is an Assistant Professor

at Khalifa University, specializing in artificial intelligence,

machine learning, and biomedical engineering.

 IMPACT FACTOR OF JOURNAL, NO OF
CITATIONS & JOURNAL CITE SCORE

The impact factor of IEEE Access from 2020 to 2024 is 3.4

Aysha Alnuaimi: Approximately 14 citations.

Aamna Alshehhi: Approximately 321 citations.

The CiteScore of IEEE Access is 9.8 for the period 2020-2023

 LIST OF REFERENCES AND
BIBLIOGRAPHY

 Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic

Cash System.

 Wood, G. (2014). Ethereum: A secure decentralized

generalized transaction ledger.

 Christidis, K., & Devetsikiotis, M. (2016). Blockchains and

Smart Contracts for the Internet of Things. IEEE Access, 4,

2292-2303.

 Kaaniche, N., & Laurent, M. (2017). Data security and

privacy preservation in cloud storage environments based on

cryptographic mechanisms. Computer Communications, 111,

120-141.

 Omar, I. A., Jayaraman, R., Salah, K., Yaqoob, I., &

Chang, V. (2020). Blockchain for the Internet of Things: A

Survey on Blockchain IoT. IEEE Access, 8, 200497-200525.