International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 07 | Jul 2022
p-ISSN: 2395-0072
www.irjet.net
Blockchain-Based AI-Assisted Hospital Management System Aneesh Sarjit S Musuvathi1, Yuthirshta Prasad T2, Jofin F Archbald3 1, 2, 3Student,
School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Healthcare has become one of the top priorities
Analyser for individuals. Along with all these features what makes it stand out from conventional systems is that its backend architecture is completely built based on Blockchain technology. One of the main important factors which concern any person/organization is the privacy and security protocols incorporated in the application. With systems becoming more computationally powerful day by day, complex time-consuming programs are executed and cracked at a faster rate. The use of Blockchain especially in medical-related fields increases more security towards data tampering. As a result, the system provides an insight into an organization's health condition/situation along with advanced features and strong security protocols to benefit the patients and organizations.
for most countries of the world. The development of healthcare institutions has prevailed and healthcare access has been increasing by an inspiring 2% per annum. Even major countries are too slow to prevent an outbreak because the necessary data is accessed only after the outbreak is noticeable. Vaccination and medicine development takes so many years to understand its effects. But this time duration can be reduced if data is not only continuously collected, but also constantly analysed using data of a huge region. Another major issue is that people’s health data, in particular, is not trustable, not centralized, and not transparent causing questioning of the difference between visible health data and the actual stored health data. This shows that there is a major caveat in healthcare development in many regions. But they all share the same problem and we’d like to call it lack of Data Care and Refurbishment. Data in health care institutions must be as transparent as possible using decentralization. And the same data must also be used as the ready-to-use source of information for governments to take immediate action if there is a chance of an outbreak, lack of medication supply and equipment, vaccination and clinic drives and many other plausible problems faced by certain locality surrounding the health institutes. What was really missing was a sturdy median that connects the network of healthcare starting from the citizens, the median, and the nation. For this, we introduce this system.
1.1 Literature Review Healthcare data is increasingly digitized and like in most other industries, in healthcare too, data is increasing in velocity, volume, and value. Proper data management techniques are required to extract sensible information, derive sensible insights to deliver better medical outcomes. According to a survey, most healthcare organizations collect EMR abstracts, claims data, and data about enrolment and medical programs. Only leading organizations additionally use electronic EMR feeds and disease management program data. Whatever might be the case, under no circumstance these management systems can be considered valuable outside the respective hospital management. The reason is, these management systems are designed to respond and store data of only their respective organization. It lacks the ability to serve the purpose of an institution-independent solution system that provides valuable medical information to any person or organization or the government - one nation, one system.
Key Words: Data Care and Refurbishment
1. INTRODUCTION The system is a fully functional hospital data management system that incorporates state-of-the-art technologies like Machine Learning and Blockchain. It is a platform where authorized hospital professionals can load the medical records of a patient and can be accessed by the patient anywhere anytime. In this way, a simplex communication is established between hospitals and patients. The data of all patients can be used for analytics purposes without compromising the personal information of a patient effectively by using this platform. In this way, government organizations can pinpoint the adverse effects of diseases, allocate funds efficiently to the need, find the origin of any outbreaks, predict any upcoming phenomena, properly plan and organize themselves and create awareness.
Very few cases of PaaS exist that have aimed at establishing a system that can be used by any group of people or organizations. IBM has developed an app, a digital health pass, to hold the medical information of its users. The app maintains information about each of its users chronologically. Digital Health Pass is designed to enable businesses to verify health credentials for employees, customers, fans, and travellers entering their site based on their own criteria. The foundation of this app is built on the concept of decentralization (to minimize the amount of personal data collected), blockchain (to secure data and store it efficiently), and cryptography (to secure data).
It comes with advanced features like Data Analytics for Data Care, Medicine purchasing redirection, Medical Reports
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