疾病X疫苗生产和供应链:风险评估与人工智能和工业4.0操作的医疗保健系统。

IF 3.1 Q2 MEDICAL INFORMATICS Health and Technology Pub Date : 2023-01-01 DOI:10.1007/s12553-022-00722-2

Petar Radanliev, David De Roure

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引用次数: 8

摘要

目的:这篇理论论文的目的是确定概念性解决方案，以确保、预测和改善疫苗生产和供应链。方法:案例研究，行动研究和回顾方法与辅助数据-公开可用的开放获取数据一起使用。结果:提出了一套解决疫苗生产和供应链瓶颈的六种算法解决方案。提出了一套不同的算法解决方案，用于预测X疾病事件期间的风险。设计了一个新的概念框架，以整合疫苗生产和供应链中出现的解决方案。该框架的构建是为了通过交叉以前孤立的边缘计算学科来提高最先进的水平;cyber-risk分析;医疗系统和人工智能算法。结论:为了使医疗系统在X疾病事件期间比在Covid-19期间更好地应对，我们需要多种高度特定的人工智能算法，针对解决特定问题。拟议的框架将减少X疾病事件中生产和供应链的风险和复杂性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0.

Objective: The objective of this theoretical paper is to identify conceptual solutions for securing, predicting, and improving vaccine production and supply chains.

Method: The case study, action research, and review method is used with secondary data - publicly available open access data.

Results: A set of six algorithmic solutions is presented for resolving vaccine production and supply chain bottlenecks. A different set of algorithmic solutions is presented for forecasting risks during a Disease X event. A new conceptual framework is designed to integrate the emerging solutions in vaccine production and supply chains. The framework is constructed to improve the state-of-the-art by intersecting the previously isolated disciplines of edge computing; cyber-risk analytics; healthcare systems, and AI algorithms.

Conclusion: For healthcare systems to cope better during a disease X event than during Covid-19, we need multiple highly specific AI algorithms, targeted for solving specific problems. The proposed framework would reduce production and supply chain risk and complexity in a Disease X event.

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来源期刊

Health and Technology MEDICAL INFORMATICS-

CiteScore

7.10

自引率

0.00%

发文量

期刊介绍： Health and Technology is the first truly cross-disciplinary journal on issues related to health technologies addressing all professions relating to health, care and health technology.The journal constitutes an information platform connecting medical technology and informatics with the needs of care, health care professionals and patients. Thus, medical physicists and biomedical/clinical engineers are encouraged to write articles not only for their colleagues, but directed to all other groups of readers as well, and vice versa.By its nature, the journal presents and discusses hot subjects including but not limited to patient safety, patient empowerment, disease surveillance and management, e-health and issues concerning data security, privacy, reliability and management, data mining and knowledge exchange as well as health prevention. The journal also addresses the medical, financial, social, educational and safety aspects of health technologies as well as health technology assessment and management, including issues such security, efficacy, cost in comparison to the benefit, as well as social, legal and ethical implications.This journal is a communicative source for the health work force (physicians, nurses, medical physicists, clinical engineers, biomedical engineers, hospital engineers, etc.), the ministries of health, hospital management, self-employed doctors, health care providers and regulatory agencies, the medical technology industry, patients'' associations, universities (biomedical and clinical engineering, medical physics, medical informatics, biology, medicine and public health as well as health economics programs), research institutes and professional, scientific and technical organizations.Health and Technology is jointly published by Springer and the IUPESM (International Union for Physical and Engineering Sciences in Medicine) in cooperation with the World Health Organization.