Security Risks and Solutions in Medical Information Science for Protecting Patient Data Integrity

Jamuna K.v, Zuleika Homavazir, Asish Malla, Kasturi Pohini, Madhur Grover, Tarang Bhatnagar and Ajit Kumar Lenka

Seminars in Medical Writing and Education, 2024, vol. 3, 519

Abstract: The rapid advancement of medical computer technology has made it much simpler to offer healthcare and maintain track of patients. However, this increase raises significant security concerns, putting patient data at danger. This abstract examines the major security issues associated with medical information systems and proposes comprehensive solutions to keep private patient data secure. If the security protocols are insufficient, someone else may be able to get access without authorisation. This might result in data breaches and put sensitive health information at risk. Another significant issue is data interception while in transit. This often occurs when communication paths are not private. Furthermore, depending more and more on third-party organisations for data storage and analytics opens up security vulnerabilities that hackers may exploit. To address these concerns, this article proposes a variety of approaches for improving security in medical information systems. First, it emphasises the need of robust security measures, such as physical verification and two-factor authentication, to ensure that admission is strictly controlled and monitored. Second, it allows encrypting data both during transmission and storage, employing modern encryption standards to prevent unauthorised users from seeing or changing data. Setting up tight data privacy standards and conducting frequent inspections may help increase security by ensuring that regulations are followed and identifying security flaws. Using blockchain technology is a novel concept since it enables a decentralised and open approach to manage patient data, reducing the likelihood of it being modified or tampered with without authorisation. Machine learning methods may also be used to detect and respond in real time to unusual access patterns and potential threats. This improves the system's ability to detect threats and prevent data harm.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:medicw:v:3:y:2024:i::p:519:id:519

DOI: 10.56294/mw2024519

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