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International Journal of Quality & Reliability Management, vol. 41 no. 8
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 24 May 2022

Shivani Bali, Vikram Bali, Rajendra Prasad Mohanty and Dev Gaur

Recently, blockchain technology (BT) has resolved healthcare data management challenges. It helps healthcare providers automate medical records and mining to aid in data sharing…

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Abstract

Purpose

Recently, blockchain technology (BT) has resolved healthcare data management challenges. It helps healthcare providers automate medical records and mining to aid in data sharing and making more accurate diagnoses. This paper attempts to identify the critical success factors (CSFs) for successfully implementing BT in healthcare.

Design/methodology/approach

The paper is methodologically structured in four phases. The first phase leads to identifying success factors by reviewing the extant literature. In the second phase, expert opinions were solicited to authenticate the critical success factors required to implement BT in the healthcare sector. Decision Making Trial and Evaluation Laboratory (DEMATEL) method was employed to find the cause-and-effect relationship among the third phase’s critical success factors. In phase 4, the authors resort to validating the final results and findings.

Findings

Based on the analysis, 21 CSFs were identified and grouped under six dimensions. After applying the DEMATEL technique, nine factors belong to the causal group, and the remaining 12 factors fall under the effect group. The top three influencing factors of blockchain technology implementation in the healthcare ecosystem are data transparency, track and traceability and government support, whereas; implementation cost was the least influential.

Originality/value

This study provides a roadmap and may facilitate healthcare professionals to overcome contemporary challenges with the help of BT.

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Benchmarking: An International Journal, vol. 30 no. 4
Type: Research Article
ISSN: 1463-5771

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Book part
Publication date: 30 September 2020

Madhulika Bhatia, Shubham Chaudhary, Madhurima Hooda and Bhuvanesh Unhelkar

This chapter discusses about the advancement in the field of telemedicine and how often the general public are using the services that are provide by the telehealth and…

Abstract

This chapter discusses about the advancement in the field of telemedicine and how often the general public are using the services that are provide by the telehealth and telemedicine market. This chapter starts with the introduction of the medicine in the world, which were the earliest medical practice and how all that thing leads to the today’s telehealth market. This chapter also describes the models that are being used in today’s world, and how these models as implemented and how telemedicine services are implemented more efficiently. Telemedicine and telehealth market is growing day by day and a lot people are getting to know about it, but there is still some section of the society, specially the lower middle class and the people in the rural areas that do not have any access or knowledge about the concept of telehealth services.

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Big Data Analytics and Intelligence: A Perspective for Health Care
Type: Book
ISBN: 978-1-83909-099-8

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Article
Publication date: 20 February 2017

Ding-you Lei, Feng Niu and Ying-gui Zhang

This paper aims to propose a systematic approach to facilitate passenger flow in high speed rail (HSR) stations. A case study is conducted to validate the approach.

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Abstract

Purpose

This paper aims to propose a systematic approach to facilitate passenger flow in high speed rail (HSR) stations. A case study is conducted to validate the approach.

Design/methodology/approach

This paper argues that HSR station management consists of train management, station capacity management, waiting room management and passenger flow management, and that two-way and dynamic information exchange exists among the components. Accordingly, the proposed approach integrates the components in HSR station management based on information exchange and heuristic algorithms. A HSR station in China with four regular waiting rooms, one mother-and-infant waiting room and one VIP waiting room located on two floors are chosen for a case study. An arrangement plan for waiting zones and waiting rooms is generated by following the proposed approach.

Findings

The result of the case study indicates that the proposed approach is capable of arranging waiting zones and waiting rooms quickly and effectively to maximize utilization of waiting room capacity and to minimize passenger walking distance from waiting rooms to platforms.

Research limitations/implications

The management problem of railway station waiting room also relates to some other factors such as platforms, tracks adjustment and delay of the trains. As an emerging technology, the Internet of Things (IoT) is expected to offer promising solutions to transform the operation and role of many existing industrial systems such as transportation systems including railway systems. The future study of the authors will focus on IoT intelligent railway management system.

Practical implications

The result indicates that the proposed method is an effective solution to the management of railway station waiting room, which can be applied to railway station management system.

Social implications

China Railway System provides service to billions of passengers. This research has significant social-economic impacts.

Originality/value

This paper fulfills an information integrated approach for improving waiting room management in high speed railway stations and a case study testing the approach.

Details

Information Discovery and Delivery, vol. 45 no. 1
Type: Research Article
ISSN: 2398-6247

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