THE ETHICS OF AI IN HEALTHCARE: PRIVACY AND DATA SECURITY

Authors

  • Kshitiz Agarwal Assistant Professor, Electronics and Communication Engineering, Arya Institute of Engineering and Technology Author
  • Jaya Gupta Assistant Professor,Electronics and Communication Engineering, Arya Institute of Engineering, Technology and Management Author
  • Deepesh Shrivastava Science Student, Rani Laxmibai Public School, Datia, M.P Author
  • Bhupendra Dadhich Science Student, Adarsh Vidhya Mandir Bundi, Rajasthan Author

DOI:

https://doi.org/10.61841/72bne026

Keywords:

Rules and regulation, privacy rule, judgments

Abstract

AI has done a major role in human life now. I have become a part of human life. I have done so many roles in various fields to make human life easy. Now AI is playing a role in healthcare. We see that lots of news about cybercrime and hacking of data and online fraud from accounts and other things hackers hack our mobile and keep text data, so some of our medicine data and our health data will be safe by machine learning and AI. We use things like phoneme and other things on the internet, and then we first give priority to our privacy. Then it is a general question of if AI will take a look at our health. It is an important thing, but if it is done, then how will our privacy be safe? How will our data and our cyber be saved from hackers? We know that hackers use lots of things to hack our data. If they hack our medicine and other medical reports, then it will be dangerous, so it is a general question for humans: if AI is used in their health sector, then how will they save your data? 

Downloads

Download data is not yet available.

References

1. F ozair fouzia and do hw, "ethical issues in electronic health records: a general overview," perspectives in clinical

research, 2015.

2. M. Bromwich and R. Bromwich, privacy risks when using mobile devices in health care.

3. T.T. Smith, "examining data privacy breaches in Healthcare," 2016.

4. S.B. wikina, "What caused the breach? An examination of use of information technology and health data

Breaches," Perspect. Health Inf. Manag., 2014.

5. M. Chernyshev, s. Zeadally, and z. Baig, "Healthcare data breaches: implications for digital forensic readiness," j.

Med. Syst., 2019.

6. J.x. jiang and g. Bai, "types of information compromised in breaches of protected health information," ann intern

medicine.

7. J. Miller, "2019 health care data breaches setting records," healio rheumatology, 2019

8. S. Alder, "Healthcare Data Breach Report," HIPAA Journal, 2019.

9. Global analysis, 2015.

10. J. Schoen, "Rise in health data breaches driven by criminal activity," Infectious Disease News.

11. J.K. Cohen, "July-reported healthcare breaches second-highest since tracking began," Modern Healthcare, 2019.

12. J.g ronquillo and hw do, "health it hacking and cybersecurity: national trends in data breaches of protected health

Information," Jamla opened, 2018.

13. R. K. Kaushik Anjali and d. Sharma, "analyzing the effect of partial shading on performance of grid connected

solar pv system," 2018 3rd international conference and workshops on recent advances and innovations in

engineering (icraie), 2018.

14. R. Kaushik, o. P. Mahela, p. K. Bhatt, b. Khan, s. Padmanaban and f. Blaabjerg, "a hybrid algorithm for recognition

of power quality disturbances," in IEEE Access, 2020.

15. Kaushik, r. K. "Pragati Analysis and Case Study of Power Transmission and Distribution." j adv res power electro

power sys (2020)

16. Sharma, R. and Kumar, G. (2017) “Availability improvement for the successive K-out-of-N machining system

using standby with multiple working vacations,” International Journal of Reliability and Safety.

17. Gireesh, K., Manju, K., and Preeti (2016), “Maintenance policies for improving the availability of a software-hardware system,” in 2016 11th International Conference on Reliability, Maintainability, and Safety (ICRMS).

IEEE.

18. Jain, M., Kaushik, M., and Kumar, G. (2015). “Reliability analysis for embedded systems with two types of faults and common cause failure using Markov processes,” in Proceedings of the Sixth International Conference on Computer and Communication Technology 2015. New York, NY, USA: ACM.

Downloads

Published

31.05.2020

How to Cite

Agarwal, K., Gupta, J., Shrivastava, D., & Dadhich, B. (2020). THE ETHICS OF AI IN HEALTHCARE: PRIVACY AND DATA SECURITY. International Journal of Psychosocial Rehabilitation, 24(3), 7919-7921. https://doi.org/10.61841/72bne026