scholarly journals Critical Dimensions of Blockchain Technology Implementation in the Healthcare Industry: An Integrated Systems Management Approach

2021 ◽  
Vol 13 (9) ◽  
pp. 5269
Author(s):  
Satyabrata Aich ◽  
Sushanta Tripathy ◽  
Moon-Il Joo ◽  
Hee-Cheol Kim
Keyword(s):  
Technology Implementation ◽  
Healthcare Sector ◽  
Management Approach ◽  
Successful Implementation ◽  
Healthcare Industry ◽  
Critical Factors ◽  
Privacy And Security ◽  
Interpretive Structural Modeling ◽  
Critical Dimensions ◽  
Blockchain Technology

In the digital era, almost every system is connected to a digital platform to enhance efficiency. Although life is thus improved, security issues remain important, especially in the healthcare sector. The privacy and security of healthcare records is paramount; data leakage is socially unacceptable. Therefore, technology that protects data but does not compromise efficiency is essential. Blockchain technology has gained increasing attention as it ensures transparency, trust, privacy, and security. However, the critical factors affecting efficiency require further study. Here, we define the critical factors that affect blockchain implementation in the healthcare industry. We extracted such factors from the literature and from experts, then used interpretive structural modeling to define the interrelationships among these factors and classify them according to driving and dependence forces. This identified key drivers of the desired objectives. Regulatory clarity and governance (F2), immature technology (F3), high investment cost (F6), blockchain developers (F9), and trust among stakeholders (F12) are key factors to consider when seeking to implement blockchain technology in healthcare. Our analysis will allow managers to understand the requirements for successful implementation.

scholarly journals Success factors for deploying cloud computing in eHealth

2019 ◽  
Vol 292 ◽  
pp. 03013
Author(s):  
Nermeen Mekawie ◽  
Kesmat Yehia
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Critical Success Factors ◽  
Success Factors ◽  
Healthcare Sector ◽  
Successful Implementation ◽  
Healthcare Industry ◽  
Critical Factors ◽  
Critical Success ◽  
Lack Of Information

Developing countries different sectors especially healthcare suffers from redundancy, lack of communication, lack of information, lack of resources, lack of sharing and lack of supervision as well as diagnosis errors. Cloud computing may offer great opportunities for the developing countries to modernize the healthcare sector and hence overcome the problems it suffers. Adoption of the cloud computing poses different challenges and obstacles which may complicate the actual implementation. This study aims at investigating the success factors for deploying cloud computing within the eHealth sector in developing countries and consequently the study employed the case of Egypt as a developing country. This research tested the critical factors quantitatively which was embedded within critical success factors models adopted from the literature within the context of cloud computing implementation. The model includes all the critical success factors and the effect of demographics on the factors for a successful implementation of cloud computing in the healthcare industry.

Evaluation of factors affecting the decision to adopt blockchain technology: A logistics company case study using Fuzzy DEMATEL

2020 ◽  
Vol 39 (5) ◽  
pp. 6279-6291
Author(s):  
Ayça Maden ◽  
Emre Alptekin
Keyword(s):  
Financial Services ◽  
Technology Implementation ◽  
Fuzzy Decision Making ◽  
Critical Factors ◽  
Fuzzy Dematel ◽  
Real Time Processing ◽  
Factors Affecting ◽  
Blockchain Technology ◽  
Logistics Company ◽  
Reducing Costs

Blockchain practices have been attracting attention in industries other than financial services, since blockchain is not only an information technology, but also an institutional technology owing to its new currency economics and distributed structures. Today, supply chains, power, and food/agriculture have emerged as promising areas in terms of their potential to incorporate blockchain technology for improving processes and reducing costs. Logistics corporations, especially, have been concentrating on developing efficiency in integrated data, fleet management, and communication issues, to achieve cost advantages. Experts from a well-known logistics company in Turkey contributed to our study by helping to assess critical factors for successful blockchain technology implementation. Our research topic included determining whether blockchain technology is suitable for this company. Fuzzy decision-making trial and evaluation laboratory (DEMATEL) was used to determine and evaluate the critical factors to encourage blockchain technology adoption, based on the company’s requirements. For the company experts, the factors affecting the decision to adopt blockchain technology were, in order of priority: cryptocurrency, instant money transfer, privacy, real time processing, smart contract, security, authentication, transparency, immutability, traceability, distributed ledger, reduced delays, and peer-to-peer networks.

A fuzzy interpretive structural modeling approach for evaluating the factors affecting lean implementation in Indian healthcare industry

2019 ◽  
Vol 11 (2) ◽  
pp. 376-397 ◽  
Author(s):  
Puneeta Ajmera ◽  
Vineet Jain
Keyword(s):  
Healthcare Professionals ◽  
Structural Modeling ◽  
Healthcare Sector ◽  
Equation Modeling ◽  
Healthcare Industry ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Lean Principles ◽  
Factors Influencing

Purpose Lean concept is implemented in healthcare organizations, as it deals with improvement processes so that best services may be provided to the patients and competitive advantage may be achieved. The purpose of this paper is to evaluate the important factors which influence implementation of lean principles in the healthcare industry. Design/methodology/approach The factors influencing lean implementation in the healthcare industry have been determined through literature review and results of a survey where questionnaires were distributed among 325 healthcare professionals. Fuzzy Interpretive Structural Modeling (FISM) approach has been used to analyze the interrelationships among these factors. A FISM model has been developed to extract the key factors influencing lean implementation. Findings Results of the survey and model show that lean leadership, professional organizational culture and teamwork and interdepartmental cooperation are the top level factors. Clarity of organizational vision, communication of goals and results, follow up and evaluations are the factors with strong driving as well as strong dependence power. Even a slight action taken on these factors will have a significant impact on other factors. Practical implications The healthcare professionals and managers can acquire information from the drive power dependence matrix so that they can thoroughly understand the relative importance, interdependencies and relationships among these factors. The model will help in determining the hierarchy of various actions and activities which may be taken by the management for managing the factors that remarkably affect the lean management in hospitals. Social implications In this paper, only 15 variables appropriate for the Indian healthcare industry have been identified. The model developed in the present research has not been validated statistically which can be done by structural equation modeling (SEM). Originality/value Though there are various studies which depict that lean principles have been implemented successfully in various industries, there are few studies specifying the application of lean principles in healthcare sector in India. This paper is an attempt to identify various factors which are important for application of Lean concept in the healthcare sector.

scholarly journals Advanced Cryptography & Block Chain Based Cloud Environment for Secured E-Health Record

2021 ◽  
Author(s):  
Sonya A ◽  
Kavitha G
Keyword(s):  
Patient Information ◽  
Data Communication ◽  
Healthcare Services ◽  
Third Party ◽  
Healthcare Sector ◽  
Key Generation ◽  
Privacy And Security ◽  
Blockchain Technology ◽  
Medical Histories ◽  
Time Accuracy

Abstract There has been noteworthy issues that must be tackled by the healthcare sector along with handling the security concerns that are intensely linked with offering of healthcare services, inculcating novel electronic healthcare systems, and secure data communication with different healthcare and government institutions. These security related concerns project several privacy preserving methodologies pertaining to the privacy and security of EHRs (electronic health records) in the cloud. The EHRs comprises of information related to demographics, medical histories, digital images, medications, lab reports, billing details and other sensitive patient information. All this sensitive patient information is kept highly secured and resides in third party servers with definite access controlling mechanism. The conventional system employs various cryptography algorithm for authorization, encryption, decryption, key generation and validation algorithms. There is proposal of a new cryptography algorithm for combating the limitations of AES, RSA and ABS. For securing the healthcare data residing in the cloud, the research presents effective utilization of new hybrid cryptography algorithm and Blockchain technology with smart contract. Unlike the prevailing three cryptographic algorithms, the proposed algorithm offers enhanced time, accuracy, efficiency and key generation and performance. Overall, there is a drastic transformation in securing the healthcare records using the proposed approach.

scholarly journals Collaboration of Blockchain and Machine Learning in Healthcare Industry

2019 ◽  
Vol 9 (1) ◽  
pp. 2642-2645
Keyword(s):  
Machine Learning ◽  
Medical Data ◽  
Machine Learning Techniques ◽  
Insurance Companies ◽  
Healthcare Sector ◽  
Healthcare Industry ◽  
Sensitive Data ◽  
Medical Practitioners ◽  
Blockchain Technology ◽  
Learning Techniques

The purpose of this paper is to explore the applications of blockchain in the healthcare industry. Healthcare sector can become an application domain of blockchain as it can be used to securely store health records and maintain an immutable version of truth. Blockchain technology is originally built on Hyperledger, which is a decentralized platform to enable secure, unambiguous and swift transactions and usage of medical records for various purposes. The paper proposes to use blockchain technology to provide a common and secured platform through which medical data can be accessed by doctors, medical practitioners, pharma and insurance companies. In order to provide secured access to such sensitive data, blockchain ensures that any organization or person can only access data with consent of the patient. The Hyperledger Fabric architecture guarantees that the data is safe and private by permitting the patients to grant multi-level access to their data. Apart from blockchain technology, machine learning can be used in the healthcare sector to understand and analyze patterns and gain insights from data. As blockchain can be used to provide secured and authenticated data, machine learning can be used to analyze the provided data and establish new boundaries by applying various machine learning techniques on such real-time medical data.

scholarly journals Proof-of-Familiarity: A Privacy-Preserved Blockchain Scheme for Collaborative Medical Decision-Making

2019 ◽  
Vol 9 (7) ◽  
pp. 1370 ◽  
Author(s):  
Jinhong Yang ◽  
Md Onik ◽  
Nam-Yong Lee ◽  
Mohiuddin Ahmed ◽  
Chul-Soo Kim
Keyword(s):  
Decision Making ◽  
Medical Decision Making ◽  
Personal Data ◽  
Treatment Quality ◽  
Healthcare Sector ◽  
Medical Decision ◽  
Insurance Company ◽  
Privacy And Security ◽  
Blockchain Technology ◽  
Local Reference

The current healthcare sector is facing difficulty in satisfying the growing issues, expenses, and heavy regulation of quality treatment. Surely, electronic medical records (EMRs) and protected health information (PHI) are highly sensitive, personally identifiable information (PII). However, the sharing of EMRs, enhances overall treatment quality. A distributed ledger (blockchain) technology, embedded with privacy and security by architecture, provides a transparent application developing platform. Privacy, security, and lack of confidence among stakeholders are the main downsides of extensive medical collaboration. This study, therefore, utilizes the transparency, security, and efficiency of blockchain technology to establish a collaborative medical decision-making scheme. This study considers the experience, skill, and collaborative success rate of four key stakeholders (patient, cured patient, doctor, and insurance company) in the healthcare domain to propose a local reference-based consortium blockchain scheme, and an associated consensus gathering algorithm, proof-of-familiarity (PoF). Stakeholders create a transparent and tenable medical decision to increase the interoperability among collaborators through PoF. A prototype of PoF is tested with multichain 2.0, a blockchain implementing framework. Moreover, the privacy of identities, EMRs, and decisions are preserved by two-layer storage, encryption, and a timestamp storing mechanism. Finally, superiority over existing schemes is identified to improve personal data (PII) privacy and patient-centric outcomes research (PCOR).

scholarly journals Applications of Blockchain Technology in Clinical Trials: Review and Open Challenges

2020 ◽  
Author(s):  
Ilhaam Omar ◽  
Raja Jayaraman ◽  
Khaled Salah ◽  
Ibrar Yaqoob ◽  
Samer Ellahham
Keyword(s):  
Clinical Trials ◽  
Data Management ◽  
Healthcare Sector ◽  
Data Provenance ◽  
Successful Implementation ◽  
Retention Data ◽  
Regulatory Policies ◽  
Blockchain Technology ◽  
True Value ◽  
Comprehensive Survey

<p>Blockchain technology has disclosed unprecedented opportunities in the healthcare sector by unlocking the true value of interoperability. Specifically, the striking features of blockchain technology, such as data provenance, transparency, decentralized transaction validation, and immutability can help to compensate for stringent data management issues (e.g., patient recruitment, persistent monitoring, data management, and data analytics and accurate reporting) in clinical trials (CTs). Although several research studies show that blockchain solutions help to improve patient retention, data integrity, privacy, and ensure CTs compliance with regulatory policies, a comprehensive survey on this topic is lacking. In this survey, we provide insights into the adoption of blockchain technology in CTs. We categorize and classify the literature by devising a meticulous taxonomy of the decentralized tasks of CT and practices based on indispensable parameters. Furthermore, we provide insights on works in progress towards deploying blockchain solutions in CTs. Finally, we identify and discuss several challenges that hinder the successful implementation of blockchain technologies in CTs.</p>

scholarly journals Applications of Blockchain Technology in Clinical Trials: Review and Open Challenges

2020 ◽  
Author(s):  
Ilhaam Omar ◽  
Raja Jayaraman ◽  
Khaled Salah ◽  
Ibrar Yaqoob ◽  
Samer Ellahham
Keyword(s):  
Clinical Trials ◽  
Data Management ◽  
Healthcare Sector ◽  
Data Provenance ◽  
Successful Implementation ◽  
Retention Data ◽  
Regulatory Policies ◽  
Blockchain Technology ◽  
True Value ◽  
Comprehensive Survey

<p>Blockchain technology has disclosed unprecedented opportunities in the healthcare sector by unlocking the true value of interoperability. Specifically, the striking features of blockchain technology, such as data provenance, transparency, decentralized transaction validation, and immutability can help to compensate for stringent data management issues (e.g., patient recruitment, persistent monitoring, data management, and data analytics and accurate reporting) in clinical trials (CTs). Although several research studies show that blockchain solutions help to improve patient retention, data integrity, privacy, and ensure CTs compliance with regulatory policies, a comprehensive survey on this topic is lacking. In this survey, we provide insights into the adoption of blockchain technology in CTs. We categorize and classify the literature by devising a meticulous taxonomy of the decentralized tasks of CT and practices based on indispensable parameters. Furthermore, we provide insights on works in progress towards deploying blockchain solutions in CTs. Finally, we identify and discuss several challenges that hinder the successful implementation of blockchain technologies in CTs.</p>

Blockchain Reinventing the Healthcare Industry

2021 ◽  
pp. 309-328
Author(s):  
Vijayaraghavan Varadharajan ◽  
Divik Bansal ◽  
Sanal J. Nair ◽  
Rian Leevinson J
Keyword(s):  
Clinical Trials ◽  
Case Studies ◽  
Scientific Research ◽  
Healthcare Sector ◽  
Medical Applications ◽  
Healthcare Industry ◽  
Counterfeit Drugs ◽  
Data Interoperability ◽  
Blockchain Technology ◽  
Conducting Research

The fragmented and disorganized nature of data in healthcare poses a variety of challenges to scientific research and medical applications. This mainly stems from the lack of traceability of transactions, complex disconnected networks, and lack of data interoperability. This complexity leads to difficulties in conducting research and clinical trials, and to the problem of counterfeit drugs in the market. This triggers lack of availability and accessibility of data for researchers and medical experts. Blockchain technology offers comprehensive solutions to these problems, and hence it has been of enormous interest in the healthcare sector. Blockchain technology with its innate transparency, traceability, data security, and distributed nature can help to overcome the data related problems in healthcare. This chapter provides an overview of the use of blockchain in the healthcare industry and explores various use-cases and applications. This chapter also discusses case-studies and various challenges faced while adapting blockchain in the healthcare industry.

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