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Introduction
Medical state structures and commercial organizations have daily access to any personal data, including date of birth, first and last name of patients and staff, and marital status. The issue of security is particularly acute in front of medical institutions, where data such as diagnoses, research results, and medical histories are collected and stored. The introduction of new technologies in healthcare increases the likelihood of information leakage and theft. This blog post will discuss how to protect data, prospects for information security, and methods of strengthening it.
Main body
Many data in medical organizations fall into the category of medical secrecy. These include personal information about employees and customers. Scientists state that disclosure of health information can cause consequences (Chen, 2019). Hackers use stolen data for fraudulent purposes, sell it on the black market, or blackmail organizations that leaked it. The number of tools that allow tracking patient status data has increased dramatically over the past few years. According to Hussein et al. (2018), this has become possible due to the development of cloud technologies, mobile devices, and the ability to store data arrays online. Several software components and mechanisms are used to protect patient data. To prevent unauthorized access, authorization tools are being deployed, intrusion detection and prevention systems are being implemented, and information leaks are.
Conclusion
In conclusion, if the security system functions correctly, one can talk about the full implementation of all its functions. Medical institutions act as operators of personal data, ensuring security is their responsibility. The process of transition from paper to electronic media shows that not all organizations can pay due attention to information security, as an increase in costs is required. The funds should be directed to the installation and maintenance of information security systems, training personnel, and hiring qualified specialists.
References
Chen, Y., Ding, S., Xu, Z. & Yang, S. (2019). Blockchain-based medical records secure storage and medical service framework. Journal of Medical Systems, 43, 5. Web.
Hussein, A. F., ArunKumar, N., Ramirez-Gonzalez, G., Abdulhay, E., Tavares, J. M. R., & de Albuquerque, V. H. C. (2018). A medical records managing and securing blockchain based system supported by a genetic algorithm and discrete wavelet transform. Cognitive Systems Research, 52, 1-11. Web.
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