Security and Compliance in Healthcare Analytics using AI

Research has promoted the application of artificial intelligence to enhance security as well as compliance within the healthcare industry. The study has shown changes in the data pattern that healthcare organisations have been optimising to manage data and makes it an effective process to analyse patient data. This strategy can be useful to acknowledge that privacy and relevant regulations have been complied with in healthcare organisations. The study has shed light on some of the common problems of transformation that have been faced by healthcare organisations including human mistakes, financial vulnerabilities and difficulties in decision making. This study has highlighted the importance of artificial intelligence to determine patient data, make correct decisions and align with compliance in order to generate effective results for the patients. The usage of natural language processing, predictive analytics, and electronic health records through the application of artificial intelligence technologies has ensured improvement in data privacy and offers customised patients in professional healthcare. The optimisation of chatbots and robotics in healthcare has made it easier to provide personalised solutions as well as patient treatment by analysing collected information.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2024-11-05
DOI
https://doi.org/10.21275/sr241104082852
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.71
Controls
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article

Security and Compliance in Healthcare Analytics using AI

Arun Kumar Ramachandran Sumangala
1 citations
International Journal of Science and Research (IJSR)
Artificial Intelligence in Healthcare
0.71
article

Security and Compliance in Healthcare Analytics using AI

Arun Kumar Ramachandran Sumangala
article en
1 citations

Abstract

Research has promoted the application of artificial intelligence to enhance security as well as compliance within the healthcare industry. The study has shown changes in the data pattern that healthcare organisations have been optimising to manage data and makes it an effective process to analyse patient data. This strategy can be useful to acknowledge that privacy and relevant regulations have been complied with in healthcare organisations. The study has shed light on some of the common problems of transformation that have been faced by healthcare organisations including human mistakes, financial vulnerabilities and difficulties in decision making. This study has highlighted the importance of artificial intelligence to determine patient data, make correct decisions and align with compliance in order to generate effective results for the patients. The usage of natural language processing, predictive analytics, and electronic health records through the application of artificial intelligence technologies has ensured improvement in data privacy and offers customised patients in professional healthcare. The optimisation of chatbots and robotics in healthcare has made it easier to provide personalised solutions as well as patient treatment by analysing collected information.

International Journal of Science and Research (IJSR)Vol. 13(11)
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare
0.71
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