Preventing Health Records Risk Analysis with Explainable AI

The security of electronic health records plays a crucial concern in the healthcare industry due to the sensitive nature of the information and its ethical aspects. Security analysis of health records involves evaluating, managing, and preserving the integrity, confidentiality, and availability of sensitive healthcare information. Explainable AI plays a significant part in the security analysis of health records by offering transparency, interpretability, and accountability in the decision-making process, thereby enhancing trust, compliance, and proactive risk management in handling sensitive healthcare information. The proper implementing of explainable AI in practice in healthcare organizations can significantly reduce the risks associated with handling sensitivee health records and ensure patient data remains secure and confidential.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/icssas64001.2024.10760785
Citations
2
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.69
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article

Preventing Health Records Risk Analysis with Explainable AI

V. Pandimurugan, S. A. Angayarkanni, A. Chinnasamy, B Balakiruthiga et al.
2 citations
Machine Learning in Healthcare
0.69
article

Preventing Health Records Risk Analysis with Explainable AI

V. Pandimurugan, S. A. Angayarkanni, A. Chinnasamy, B Balakiruthiga, J Umamageswaran, V. Rajaram
article en
2 citations

Abstract

The security of electronic health records plays a crucial concern in the healthcare industry due to the sensitive nature of the information and its ethical aspects. Security analysis of health records involves evaluating, managing, and preserving the integrity, confidentiality, and availability of sensitive healthcare information. Explainable AI plays a significant part in the security analysis of health records by offering transparency, interpretability, and accountability in the decision-making process, thereby enhancing trust, compliance, and proactive risk management in handling sensitive healthcare information. The proper implementing of explainable AI in practice in healthcare organizations can significantly reduce the risks associated with handling sensitivee health records and ensure patient data remains secure and confidential.

SRM Institute of Science and Technology (IN), Amrita Vishwa Vidyapeetham (IN)
Openalex Percentile: Top 23%
Machine Learning in Healthcare
0.69
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