ABSTRACT
Patients' medical files are electronically preserved and accessible through a network such as Electronic Health Records (EHRs). Numerous opportunities exist for EHRs to enhance patient care, clinical practice performance indicators, and potential future clinical research contributions. The techniques used to preserve EHRs have proved incredibly unsafe in the contemporary era of smart homes and urban areas. Data can be easily accessed by hackers and unauthorized third parties. Furthermore, the data is not accessible to patients or healthcare practitioners. These plans cannot balance the accessibility and security of the data. But with blockchain, these issues can be resolved. Any application created utilizing blockchain technology is secure and inaccessible to unauthorized parties thanks to the three critical characteristics of the technology: Security, Decentralization, and Transparency. In a blockchain network, it is nearly difficult to manipulate data. This research work utilizes blockchain technology to deploy EHRs and improve their security and privacy. With its decentralized structure and cryptographic techniques, blockchain technology will maintain control over who gets access to information. Furthermore, it will maintain a balance between accessing data and privacy. The advanced aspects of the EHR system are handled by this research using smart contracts. The comprehensive healthcare management solution across a network can incorporate several sectors, such as billing and transportation. A website program can be combined with it to increase interactivity. By adding pharmacists to the system as a participant, EHRs can help them track medical sales. © 2023 IEEE.
ABSTRACT
To control and stop possible COVID-19 outbreaks, it is important to keep track of suspected cases and find them quickly. One of the more common ways to keep track of this disease is to use infrared cameras to find people whose body temperatures are too high. But they aren't very useful because they can't be used in public places like parks or even outdoor recreation centres. This makes it more difficult to look for possible COVID-19 patients, since the virus spreads most in open public places like parks, concert halls, and other public venues. There are also other ways to use technology, such as thermal scanners, need a person to test them because they are not stand-alone technologies. This way of testing could make it possible for the person doing the test to get the virus from the person being tested. As you can see, the only way to solve this problem is to find an alternative solution. In this research, we expect to show the system, design, and possible range of a non-invasive system that can diagnose COVID-19 and find possible patients by using thermal and optical images of a person taken by a drone. The proposed Drone system uses multi-modal machine intelligence, computer vision, and real-time monitoring to make monitoring scalable. As part of the system, machine learning algorithms will also be used to help make better and more accurate diagnoses. We think that the development of these technologies could help us find ways to use technology to fight infectious disease threats during future pandemics. Copyright © 2022, Anka Publishers. All rights reserved.