A Blockchain and Artificial Intelligence-Based, Patient-Centric Healthcare System for Combating the COVID-19 Pandemic: Opportunities and Applications

Jabarulla, Mohamed Yaseen; Lee, Heung-No

doi:10.3390/healthcare9081019

Cited by 74 publications

(34 citation statements)

References 78 publications

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“…Because many of the current data are collected from hospitals, the public, or the media, they are not protected, which may cause COVID-19 data to be modified. The transaction data recorded in the blockchain (such as covid-19 data) cannot be modified or changed by any entity (Pham et al 2020 ; Jabarulla and Lee 2021 ). In addition, the blockchain has distributed characteristics.…”

Section: Direction Of Developmentmentioning

confidence: 99%

Using artificial intelligence technology to fight COVID-19: a review

et al. 2022

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In late December 2019, a new type of coronavirus was discovered, which was later named severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). Since its discovery, the virus has spread globally, with 2,975,875 deaths as of 15 April 2021, and has had a huge impact on our health systems and economy. How to suppress the continued spread of new coronary pneumonia is the main task of many scientists and researchers. The introduction of artificial intelligence technology has provided a huge contribution to the suppression of the new coronavirus. This article discusses the main application of artificial intelligence technology in the suppression of coronavirus from three major aspects of identification, prediction, and development through a large amount of literature research, and puts forward the current main challenges and possible development directions. The results show that it is an effective measure to combine artificial intelligence technology with a variety of new technologies to predict and identify COVID-19 patients.

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Section: Direction Of Developmentmentioning

confidence: 99%

Using artificial intelligence technology to fight COVID-19: a review

et al. 2022

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“…The dirty air filter applied in this study is based on research [30], [31]. After the air filter stops at the navigation point area due to an increase in the value of the AQI (Air Quality Index) in that area, it starts the filter, cleaning the air in that place.…”

Section: Arduino For Purificationmentioning

confidence: 99%

The Impact of Artificial Intelligence in Smart City Air Purifier Systems

Alwiyah

Lazirkha²

2022

att

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Dirty air or air pollution is one of the many natural problems that we face, the problem of harmful air pollution is very representative of a colony. If the air conditioner is not healthy so that it disturbs human health. Referring to the World Most Most Polluted Country Index, Indonesia is one of 10 countries where the air is unhealthy or polluted, requiring solutions to these natural problems. This paper aims to find solutions and minimize the impact of wider air pollution through air purification by utilizing the Artificial Intelligence mobility method, especially for outdoor areas. The problem with this system is that it provides clean air in a large area, for example, land, flats, offices, and so on, the majority of people will go out of the house and stay outside the house for a long time. Providing an intelligent sensor-based automatic drive is an advantage of this research because many air purifiers are related to the same purpose but are only explicitly made in a small room area. There are no mobility methods and no Artificial Intelligence system using the three main function formulation methods. The first formulation using "smart mobility" of the machine will be given high Artificial Intelligence. The second formulation is purification using an Arduino-based microprocessor, and the final formulation a human detector. After that, this system can be installed in residential areas and provides healthier air, referring to the structure of the formula "You Only Look Once" (YOLO). All systems will provide performance in that each function is integrated to explain the ease of this tool moves. If there is a low level of pollution, this tool will go to that place and vice versa. This tool works simultaneously, which filters air pollution & provides healthy air to humans (Artificial Intelligence). With this, the researchers tried to do several methodologies to solve air pollution outside the room and clean the dirty air to be suitable for breathing.

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“…MIoT facilitates the online monitoring and control of patient clinical data, such as medical images, heart rate, blood oxygen level, medication dose and history of health conditions, among others [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…In March 2020. The World Health Organization (WHO) launched MiPasa, which is a platform based on blockchain technology that facilitates the totally private exchange of information between individuals, state authorities and health institutions [ 4 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

User Perception of New E-Health Challenges: Implications for the Care Process

González-Revuelta

Novas

Gázquez

et al. 2022

IJERPH

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Establishing new models of health care and new forms of professional health-patient communication are lines of development in the field of health care. The onset of the COVID-19 pandemic has accelerated the evolution of information systems and communication platforms to guarantee continuity of care and compliance with social distancing measures. Our objective in this article was, firstly, to know the expectations of patients treated in the healthcare processes “cervical cancer” and “pregnancy, childbirth and puerperium” regarding online access to their clinical history and follow-up in the care process. Secondly, we analyzed times involved in the cervical cancer process to find points of improvement in waiting times when digital tools were used for communication with the patient. A descriptive cross-sectional study was carried out on 120 women included in any of the aforementioned processes using a hetero-administered questionnaire. The analysis of times was carried out using the Business Intelligence tool Biwer Analytics®. Patients showed interest in knowing their results before the appointment with the doctor and would avoid appointments with their doctor if the right conditions were met. Most recognized that this action would relieve their restlessness and anxiety. They were highly interested in receiving recommendations to improve their health status. It was estimated that there was room for improvement in the times involved in the care process, which could be shortened by 34.48 days if communication of results were through digital information access technologies. This would favor the optimization of time, resources and user perception.

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A Blockchain and Artificial Intelligence-Based, Patient-Centric Healthcare System for Combating the COVID-19 Pandemic: Opportunities and Applications

Cited by 74 publications

References 78 publications

Using artificial intelligence technology to fight COVID-19: a review

Using artificial intelligence technology to fight COVID-19: a review

The Impact of Artificial Intelligence in Smart City Air Purifier Systems

User Perception of New E-Health Challenges: Implications for the Care Process

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