BLOCKCHAIN AND INTERNET OF THINGS (IOTS) BASED SYSTEM FOR INTELLIGENT HOSPITAL MANAGEMENT

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Abstract

This study presents the development of a Blockchain and Internet of Things (IoT)-based system for intelligent hospital management, aimed at addressing persistent challenges in data security, accessibility, and operational efficiency in healthcare institutions. The primary objective is to design, implement, and evaluate a technologically advanced hospital management system leveraging the decentralized and secure features of blockchain, the real-time data collection capabilities of IoT, and the predictive power of machine learning. The system is developed using the Object Oriented Analysis and Design (OOAD) methodology, which facilitates efficient modeling of system components and their interactions. Key modules of the existing system, such as patient management, doctor and pharmacist interfaces, are enhanced through the integration of advanced technologies. The system is implemented using JavaScript and supported by Ethereum for blockchain operations, ensuring transparency, immutability, and secure access control via smart contracts. IoT devices integrated into the system enable real-time monitoring of patient vitals, medication adherence, and environmental conditions within the hospital. These data streams are securely recorded on the blockchain, where machine learning algorithms analyze them to detect health anomalies, predict patient needs, and personalize care. This holistic integration significantly improves healthcare service delivery by ensuring accurate, timely, and secure access to patient data. The system architecture includes high-performance servers, secure storage solutions, and robust networking equipment to support real-time data processing and blockchain operations. Software requirements include blockchain platforms, database systems, and web/mobile applications for seamless interaction among patients, doctors, and administrative staff. Performance evaluation demonstrates the system's effectiveness in enhancing data security, operational efficiency, and decision-making processes. By granting patients full control over their health data and enabling healthcare providers to deliver personalized care through data-driven insights, the proposed system addresses critical limitations of traditional hospital management systems. In conclusion, this blockchain and IoT-based intelligent hospital management system represents a transformative approach to healthcare administration. It not only strengthens data integrity and access control but also empowers healthcare providers with advanced analytical tools, ultimately improving patient outcomes. The study recommends investing in staff training and ensuring regulatory compliance to fully realize the benefits of this innovative solution.

Keywords: Blockchain, Internet of Things (IoT), Hospital Management System, Smart Healthcare, Data Security

 

 

 

 

 

TABLE OF CONTENTS

Front Page                                                                                                                      1

Abstract                                                                                                                         2

Table of Contents                                                                                                          3

 

CHAPTER 1

INTRODUCTION

1.1       Background to the Study                                                                                      5

1.2    Security and Privacy                                                                                             8

1.3       Statement of the Problem                                                                                     10

1.4       Aim and Objectives of the Study                                                                         10

1.5       Significance of the Study                                                                                     11

1.6       Definition of Technical Terms                                                                             11

 

CHAPTER 2

LITERATURE REVIEW

2.1     Overview of Intelligent Hospital Management System                                       13

2.2       IOT  based health Care                                                                                        14

2.3     IoT Application in the Field of Health Care                                                        16

2.4     Blockchain Technology                                                                                       18

2.5     Blockchain Frameworks                                                                                      25

2.6     Hyperledger Fabric                                                                                              25

2.7     Ethereum                                                                                                              26

2.8     Health Sector                                                                                                        28

2.9     Security Analysis                                                                                                 30

2.10  Smart Health Care                                                                                                32

2.11   Automated Hospital System                                                                                35

2.12  Data Issue in IoT                                                                                                  38

 2.13 Health Records Portal Service                                                                             40

2.14  Mobile Base Health Care                                                                                     40

2.14   Review of Related Works                                                                                    44

2.15  Research Gap                                                                                                       46

 

CHAPTER 3

MATERIAL AND METHODS

3.1     Research Methodology                                                                                        48

3.2     Object Oriented Analysis and Design (OOAD)                                                   48

3.3     Analysis of Existing System                                                                                50

3.3.1 Component of the Existing System                                                                     51

3.3.2 Advantages of the Existing System                                                                     51

3.3.3  Limitations of the Existing System.                                                                     52

3.4     Analysis of the Proposed System                                                                         52

3.4.1  Advantages of the Proposed System                                                                    54

3.4.2 Architectural Design of the Proposed System                                                     57

3.4.3  Component of the Proposed System                                                                    60

3.4.4  Algorithm of the Proposed System                                                                      63

3.5     Use Case Design                                                                                                  69

3.5.1 Sequence Diagram                                                                                               70

3.5.2 Activity Diagram                                                                                                 72

3.5.3  Flowchart of the Proposed System                                                                      74

3.5.3 Data Collection                                                                                                    75

References                                                                                                                     77

 

CHAPTER 4

RESULT AND IMPLEMENTATION

4.0     Introduction                                                                                                          69

4.1     System Architecture                                                                                            69

4.2     Physical Design                                                                                                    70

4.2.1 Network Infrastructure                                                                                         70

4.2.2 Hardware Requirements                                                                                      70

4.2.3 Software Requirements                                                                                        70

4.3     Setting Up the Environment                                                                                71

4.3.1 Development Environment                                                                                  71

4.3.2 Testing Environment                                                                                           71

4.3.3 Production Environment                                                                                      71

4.4     Implementation of the Blockchain                                                                      71

4.4.1 Blockchain Network Setup                                                                                  71

4.4.2 Smart Contract Deployment                                                                                71

4.4.3 System Integration                                                                                               71

4.5     Main Page                                                                                                            71

4.5.1  Admin Page                                                                                                          72

4.5.2 Doctor Page                                                                                                          74

4.5.3 Patient Page                                                                                                          74

4.5.4 Staff Page                                                                                                                      75

4.6     System Testing and Integration                                                                           77

4.6.1 Unit Testing                                                                                                         77

4.6.2 Integration Testing                                                                                               77

4.6.3 System Testing                                                                                                     77

4.6.4 User Acceptance Testing                                                                                     77

4.7     Test Plan                                                                                                               77

4.7.1 Objectives                                                                                                            78

4.8     Test Data                                                                                                              78

4.8.1 Synthetic Data                                                                                                      78

4.9     Security and Interoperability                                                                               78

4.9.1  Benefits of Blockchain in Hospital Management                                                78

4.9.2 Implementation Challenges                                                                                 79

 

CHAPTER 5

SUMMARY, CONCLUSION, AND RECOMMENDATION

5.1 Summary                                                                                                                 80

5.2 Conclusion                                                                                                               80

5.3 Recommendations                                                                                                   80

References                                                                                                                     81

Appendix                                                                                                                       83

 

 

 

 

 

 

 

CHAPTER 1

INTRODUCTION


1.1        Background to the Study

Healthcare systems worldwide face challenges related to data security, interoperability and operational efficiency.  Majority of operations in our hospital today are 85% manual  and patients must visit the hospital for diagnosis and consultation, patients medical history are not distributed over the internet.  This has reduced access to quality healthcare by patients.

This research is aimed at developing an intelligent hospital management system (IHMS) using Artificial intelligence, Blockchain and internet of things (IOT) to provide smart Healthcare.

Intelligent system is an artificial system that

i.            operates as an agent ie  the system perceives it environment, acts in the environment and interacts with other agents, and

ii.            Exhibits rational behavior, ie the system acts rationally (to maximize the success of its tasks) an shows rational thinking (Justified belief through reasoning) with the emergence of artificial intelligence, machine learning, blockchain and internet of things (IOTS) the world has becomes a smart ecosystem.

(BokiKoyunue et al., 2015) define an intelligent hospital management system as a comprehensive, integrated information system designed to manage the administrative, financial and clinical aspects of a hospital.  The IHMS can be utilized to perform the tasks in a more efficient and cost effective manner.  It is always preferable to prevent ````than cure.

As the area of medical informatics, patients medical records are centralized and lack of real time situation management all these  causes delay in response time and treatment by health practitioners. Susan G. Bornstein, MD, MPH points out that, without a national healthcare database in place .,”medical provider in one office  or healthcare system are precluded from seeing a patient’s information in another  system, to the detriment of  the patient. Cyberattacks are carried out by using various malware like Trojans, Rootkits, Virus, etc. and are known as Distributed Denial of Service (DDoS) attack, Man in the Middle (MITM) attack, phishing, Ransomware attack, and Structured Language Query (SQL) injection. Blockchain has emerge das a promising mitigation technology for cyber security

In smart healthcare hospitals support. Smart healthcare components comprises of the main items clinic, geographical, and community.  To optimize practices of current patient care and implementation of new features, smart healthcare focuses on environment driven by information and communication technology. (ICT).Concentrating primary on effective and efficient IOT Technology and process automation.(Papa, et al 2020).Intelligent hospital system use in hospital management. It is paramount that these healthcare challenges be adequately addressed.

(Jan. Q et al2020). In securing patient data blockhain technology is incorporated. Data security has become a significant issues globally .(Omoyiola, 2018) These security risks do exist to the form of vulnerabilities, hacks, data breaches, insider threats human employee errors, etc and they must be mitigated to avoid danger (Omoyiola, 2019). Blockchain has a wide range of applications and uses in healthcare as well as it helps secure the transfer of patients medical records, manage drug chains, and unlock genetic code for health researchers.

Blockchain is a sequence of blocks which holds a complete list of transaction record like conventional public ledger. (Wang et al., 2018), for accurate diagnosis “Reliable data assure consumers of the safety of their personal information, the confidentiality of their data, integrity of their data, and the use of their data for adequate planning and decision making goals” (Whyte, 2021).The blockchain technology was first mentioned by Stuart Haber and W. Scott Stornetta in 1991. However, Satoshi Nakamoto, a person who goes by the alias, popularized it in 2008 to operate as the public transaction ledger of Bitcoin. Over the past one decade and a half, there have been innovations around blockchain consensus mechanisms, constitutional design, programmable smart contracts, and tokens. Blockchain 1.0 applications were mainly limited to digital currencies, which were used in commercial transactions, foreign exchange, gambling, and money laundering. The expansion of Blockchain 2.0 applications enabled smart contracts, decentralized applications (dApps), and Decentralized Autonomous Organizations (DAO). Blockchain 3.0 was able to register its presence in areas, such as education, health, science, transportation, and logistics in addition to currency and finance, and now Blockchain 4.0 is evolving as a business-friendly ecosystem for the world of commons.

 The integration of blockchain with emerging technologies like Internet of Things, cloud, artificial intelligence, and robotics is one of the biggest promises of the times to come. Blockchain is typically classified into public, private, and consortium blockchain. A public blockchain is a permission less blockchain in which any user, whosoever wishes to transact with the network, can participate and write on the blockchain. A private blockchain only allows nodes coming from a specific organization to participate in the consensus process. That’s why it is also called permissioned blockchain. A consortium blockchain is a semi-private system in which a group of like-minded companies leverage cross-company solutions to improve workflow, accountability, and transparency. Blockchain, irrespective of its type, uses an asymmetric cryptography mechanism to validate the authenticity of transactions. It is basically a network of participants that share nodes for common business purpose and process. All these blocks join in a sequence, and to do this, each block gets a unique hash that exactly matches the string of data in that block. If anything inside a block changes, even to a little extent, the block gets a new hash. In a blockchain, this hash is created by a cryptographic hash function. A cryptographic hash function is a complex algorithm that takes any string of input and turns it into a 64-digit string of output. A hash is not always qualified. A block on the blockchain will only be accepted if its hash starts with at least ten consecutive zeros. A small, specific piece of data is added to each block called a nonce. The introduction process of repeatedly altering and hashing a block’s data to find a suitable hash is called mining, and this is what miners do. Miners spend a lot of electricity in the form of computational power by constantly changing the block structure (nonce) and hashing it until a qualified signature (output) is found. The more computational power they have, the faster they can hash different block compositions to find a qualified hash. Blockchain also helps to manage drug supply chains and unlock biological codes for health researchers.(Hitesh K S et al 2022)  Internet of people was inverted in 1983 and used to share information such as pictures, texts and audio files between human beings.  Internet of things (IOTs) is the same only the difference being that, in this case, things have specific sensors which can interact with other things and human beings.  Times like covid-19 pandemic, have forced us to find alternative way to visit doctors and get necessary consultation.  IOT provides an excellent method to solve this problem for both patients and doctors for patients, everything they use or wear such as smart-watches, weighing machines can be embedded with necessary sensors, which provides constant feedback of the person and upload analyze it over the cloud.

Internet of things (IOTs) stands out as the core technology and solution to address hospitals administration issues, through digitization and building intelligence in the hospital management system, to address the issues of delay in medical diagnosis and doctor consultation by patients.  These data captured by IOT devices will be analyzed by the AI-enabled digital interfaces system for prediction.

 

1.2        Statement of the Problem

Traditional hospital management faces challenges related to data security ,transparency  and operational efficiency .As most of the existing system lack robust  mechanism to ensure data  integrity, decetralisation and privacy of patient medical information, which lead to concern regarding to data breaches ,remote monitoring of patients vitals in real time  and unauthorized  access. This technologies, blockchain and internet of things promises to treat patients  medical records, infringement prevention,  improvement, medication and prescription control, effective real time information for quick consultation and diagnosis easy prediction ,access to medical care ,enforcing  data security.. This study combined blockchain, IoTs  and machine learning technologies to build  an Intelligent hospital management (IHMS)  which will address the issue of ;

i.                 Data privacy

ii.                Access control

iii.               authenticity,

 

1.3        Aim and Objectives of the Study

The aim of this study is to develop a blockchain and internet of things (IoTs) based system for intelligent hospital management. The aim of the study will be achieved with the following objectives.

      i.            To design an intelligent hospital management system using blockchain and internet of things based technologies.

     ii.            To implement the system using Javascript programming language.

   iii.            Evaluate the system effectiveness and performance.

 

1.4        Significance of the Study

This study will contribute to

  i.         The quality of healthcare available in the healthcare sector.

 ii.          The security of patients medical record.

iii.         The accuracy of medical diagnosis.

iv.         The generation of patients real time health information by reducing medical consultation time.

 v.         Avoid repetition of medical laboratory test

vi.         To  quick delivery of healthcare services 

 

1.5        Definition of Technical Terms

Data security. Means protecting digital data, such as those in a database, from destructive forces and from unwanted actions of unauthorized user.

Blockchain- Is a type of distributed ledger technology where transaction records are saved, in the ledger, as a chain of blocks.

Internet of Things – Is the network of physical objects - “Things” that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet .IoT refers to a network of physical objects, which can gather and share electronic information. The IoT includes a variety of smart devices, ranging from industrial machines to sensor that tracks the human body.

Interoperability –is the ability of different devices and services to work together

Distributed Ledger Technology (DLT) is a technical infrastructure and protocol that allows simultaneous access, verification and updating of records in an irreversible manner over a network spanning multiple entities or locations.

Block is the smallest unit of data that is linked with one another .

Timestamp: When the block is verified and mined.

Nonce: A random number used to create the hash.

 

 

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