ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
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Paper Title
A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems
Authors
Mr. M. Nagarasan , Mr. Bharath Kumar. J. V , Ms. Raghavi. R , Mr. Ramana. A , Mr. M. Vigneshwara
Keywords
Retrieval-Augmented Generation, Medical AI, Large Language Models, Healthcare NLP, Clinical Decision Support
Abstract
Artificial Intelligence (AI) has significantly advanced healthcare applications including clinical decision support, medical question answering, diagnostic assistance, and longitudinal patient record analysis. However, standalone Large Language Models (LLMs) frequently suffer from hallucination, factual inconsistency, limited domain grounding, and privacy concerns, making them unreliable for high-stakes medical deployment.
Retrieval-Augmented Generation (RAG) has emerged as a robust paradigm that integrates external knowledge retrieval with generative modelling to improve factual accuracy and contextual relevance in healthcare systems.
Recent research demonstrates the effectiveness of RAG in secure federated medical diagnosis, clinical decision workflows, privacy-aware telehealth systems, multimodal healthcare question answering, ontology-guided retrieval, hybrid sparse-dense optimization, and automated radiology and pathology report generation. Additionally, studies explore bias mitigation, temporal modelling for longitudinal patient data, cross-hospital transfer learning, explainable risk prediction frameworks, and factual consistency evaluation metrics. Despite these advancements, challenges persist in role-based access control, end-to-end encryption, auditability, regulatory compliance, and real-world hospital deployment.
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IJCRT — journal style
"A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 3, page no.i10-i24, March 2026, Available :https://ijcrt.org/papers/IJCRT2603963.pdf
APA — 7th edition
Nagarasan, M., V, B. K. J., R, R., A, R., & Vigneshwara, M. (2026). A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems. International Journal of Creative Research Thoughts, 14(3), i10-i24. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603963
MLA — 9th edition
Nagarasan, M., et al. "A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems." International Journal of Creative Research Thoughts, vol. 14, no. 3, 2026, pp. i10-i24, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603963.
Chicago — 17th, bibliography
Nagarasan, M., et al. "A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems." International Journal of Creative Research Thoughts 14, no. 3 (2026): i10-i24. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603963.
Harvard — author–date
Nagarasan, M. et al. (2026) 'A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems', International Journal of Creative Research Thoughts, 14(3), pp. i10-i24. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603963
IEEE — numbered reference
M. Nagarasan, B. K. J. V, R. R, R. A and M. Vigneshwara, "A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems," IJCRT, vol. 14, no. 3, pp. i10-i24, Mar. 2026.
Vancouver — biomedical
Nagarasan M, V BKJ, R R, A R, Vigneshwara M. A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems. IJCRT. 2026 Mar;14(3):i10-i24.
AMA — 11th edition
Nagarasan M, V BKJ, R R, A R, Vigneshwara M. A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems. IJCRT. 2026;14(3):i10-i24. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603963
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2603963,
author = {M. Nagarasan and Bharath Kumar. J. V and Raghavi. R and Ramana. A and M. Vigneshwara},
title = {A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {3},
pages = {i10-i24},
year = {2026},
month = {March},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603963}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Nagarasan, M.
AU - V, Bharath Kumar. J.
AU - R, Raghavi.
AU - A, Ramana.
AU - Vigneshwara, M.
TI - A Comprehensive Survey on Secure and Explainable Retrieval-Augmented Generation for Healthcare Intelligence Systems
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 3
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603963
SP - i10-i24
ER -
Issue
Volume 14 Issue 3,
March-2026
Pages : i10-i24
Article Information
- Pages
- i10-i24
- Published
- March 2026
- Registration ID
- IJCRT_304158
- Published Paper ID
- IJCRT2603963
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 123
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603963
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2603963.pdf
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International Journal of Creative Research Thoughts
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