The adaptiveness of the healthcare system to the fourth industrial revolution: A preliminary analysis

Ćwiklicki, Marek; Klich, Jacek; Chen, Jun Song

doi:10.1016/j.futures.2020.102602

Cited by 41 publications

(24 citation statements)

References 50 publications

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“…We are truly living a technological revolution in the manufacturing of finished goods, in view of the historic gateway of the fourth industrial revolution. In this concept, the major impact of the fourth industrial revolution, also known as Industry 4.0, is based on overriding the fundamental limitations in the interface between humans and machines [ 1 ]. In a continuation of current manufacturing strategies, automation-promoting digital technologies, e.g., artificial intelligence (AI) and the Internet of Things (IoT), will be utilized in an array of public and private domains to reveal personalized approaches for any given individual [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

The Advent of a New Era in Digital Healthcare: A Role for 3D Printing Technologies in Drug Manufacturing?

et al. 2022

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The technological revolution has physically affected all manufacturing domains, at the gateway of the fourth industrial revolution. Three-dimensional (3D) printing has already shown its potential in this new reality, exhibiting remarkable applications in the production of drug delivery systems. As part of this concept, personalization of the dosage form by means of individualized drug dose or improved formulation functionalities has concentrated global research efforts. Beyond the manufacturing level, significant parameters must be considered to promote the real-time manufacturing of pharmaceutical products in distributed areas. The majority of current research activities is focused on formulating 3D-printed drug delivery systems while showcasing different scenarios of installing 3D printers in patients’ houses, hospitals, and community pharmacies, as well as in pharmaceutical industries. Such research presents an array of parameters that must be considered to integrate 3D printing in a future healthcare system, with special focus on regulatory issues, drug shortages, quality assurance of the product, and acceptability of these scenarios by healthcare professionals and public parties. The objective of this review is to critically present the spectrum of possible scenarios of 3D printing implementation in future healthcare and to discuss the inevitable issues that must be addressed.

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Section: Introductionmentioning

confidence: 99%

The Advent of a New Era in Digital Healthcare: A Role for 3D Printing Technologies in Drug Manufacturing?

et al. 2022

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“…Since antiquity, human beings have learned to create tools, the act of creating is what makes possible a process that determines a product (BI et al, 2017). Over time came the need to evolve, and with that Industrial Revolution emerged, which allowed the involvement of numerous experiments and case studies that enabled researchers to new methods of optimization in manufacturing processes (Ćwiklicki et al, 2020;Takezawa et al, 2020).…”

Section: Contextualization Of Manufacturing Processesmentioning

confidence: 99%

Digital technologies review for manufacturing processes

Parente

Silva

Siqueira

et al. 2022

Ind. Jour. Manag. & Prod.

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It is apparent the industrial processes transformations caused by industry 4.0 are in advance in some countries like China, Japan, Germany and United States. But, in return, the developing countries, as the emergent Brazil, seem like to have a long way to achieve digital era. Considering manufacturing processes as the starting point the rise of industry 4.0, this research aims to show a review about the most important technologies used in smart manufacturing, including the main challenges to implement it at Brazil. The papers were collected from Web of Science (WoS), comprising 114 articles and 2 books to underpin this study. This exploratory research resulted in the presentation of some challenges faced by Brazilian industry to join the new industrial era, such as poor technological infrastructure, besides lack of investment in technologies and training of qualified people. Even though the primary motivation of this research was to present a panorama of smart manufacturing for Brazil, this study results contributes to the most of emergent countries, bringing together general concepts and addressing practical applications developed by several researchers from the international academic community.

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“…[43,44]. This non-parametric statistic ranges in value between 0 and 1, such that 1 indicates more substantial agreement [45]. We assessed the concordance of opinions regarding six key dimensions of the SCS.…”

Section: Interviewsmentioning

confidence: 99%

Controlling Safety of Artificial Intelligence-Based Systems in Healthcare

Davahli¹,

Karwowski²,

Fiok³

et al. 2021

Preprint

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In response to the need to address the safety challenges in the use of artificial intelligence (AI), this research aimed to develop a framework for a safety controlling system (SCS) to address the AI black-box mystery in the healthcare industry. The main objective was to propose safety guidelines for implementing AI black-box models to reduce the risk of potential healthcare-related incidents and accidents. The system was developed by adopting the multi-attribute value model approach (MAVT), which comprises four symmetrical parts: extracting attributes, generating weights for the attributes, developing a rating scale, and finalizing the system. On the basis of the MAVT approach, three layers of attributes were created. The first level contained 6 key dimensions, the second level included 14 attributes, and the third level comprised 78 attributes. The key first level dimensions of the SCS included safety policies, incentives for clinicians, clinician and patient training, communication and interaction, planning of actions, and control of such actions. The proposed system may provide a basis for detecting AI utilization risks, preventing incidents from occurring, and developing emergency plans for AI-related risks. This approach could also guide and control the implementation of AI systems in the healthcare industry.

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The adaptiveness of the healthcare system to the fourth industrial revolution: A preliminary analysis

Cited by 41 publications

References 50 publications

The Advent of a New Era in Digital Healthcare: A Role for 3D Printing Technologies in Drug Manufacturing?

The Advent of a New Era in Digital Healthcare: A Role for 3D Printing Technologies in Drug Manufacturing?

Digital technologies review for manufacturing processes

Controlling Safety of Artificial Intelligence-Based Systems in Healthcare

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