Citation :

Sethu Sesha Synam Neeli, 2024. "The Convergence of AI and Database Administration in Revolutionizing Healthcare", ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 4: 150-153.

Abstract :

The healthcare industry faces an unprecedented challenge: harnessing the exponential growth of data to improve patient outcomes. This research explores the crucial convergence of Artificial Intelligence (AI) and Database Administration (DBA) in addressing this challenge. We examine their synergistic impact across diagnostics, treatment, patient care, public health, and operational efficiency, while critically analyzing the ethical and legal implications. Furthermore, we propose a strategic roadmap for responsible AI adoption and sustainable growth within the healthcare sector, emphasizing the essential role of skilled DBAs.

References :

[1] Torad, M., & H. Hossamel-din, Y. (2021). Smart ambulance using IoT for blood transfer facilities. Indonesian Journal of Electrical Engineering and Computer Science. https://doi.org/10.11591/ijeecs.v22.i1.pp97-103

[2] Abouelmehdi, K., Beni-Hessane, A., & Khaloufi, H. (2018). Big healthcare data: preserving security and privacy. Journal of Big Data. https://doi.org/10.1186/s40537-017-0110-7

[3] Aerts, A., & Bogdan-Martin, D. (2021). Leveraging data and AI to deliver on the promise of digital health. International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2021.104456

[4] Agarwal, V. (2015). Research on Data Preprocessing and Categorization Technique for Smartphone Review Analysis. International Journal of Computer Applications. https://doi.org/10.5120/ijca2015907309

[5] Al Harbi, S., Aljohani, B., Elmasry, L., Baldovino, F. L., Raviz, K. B., Altowairqi, L., & Alshlowi, S. (2024). Streamlining patient flow and enhancing operational efficiency through case management implementation. BMJ Open Quality. https://doi.org/10.1136/bmjoq-2023-002484

[6] Arora, G., Joshi, J., Mandal, R. S., Shrivastava, N., Virmani, R., & Sethi, T. (2021). Artificial intelligence in surveillance, diagnosis, drug discovery and vaccine development against covid-19. In Pathogens. https://doi.org/10.3390/pathogens10081048

[7] Athanasopoulou, K., Daneva, G. N., Adamopoulos, P. G., & Scorilas, A. (2022). Artificial Intelligence: The Milestone in Modern Biomedical Research. In BioMedInformatics. https://doi.org/10.3390/biomedinformatics2040049

[8] Author, P. (2011). How Many Friends Does One Person Need? Dunbar’s Number and Other Evolutionary Quirks. Mankind Quarterly. https://doi.org/10.46469/mq.2011.51.4.5

[9] Avanzo, M., Wei, L., Stancanello, J., Vallières, M., Rao, A., Morin, O., Mattonen, S. A., & El Naqa, I. (2020). Machine and deep learning methods for radiomics. Medical Physics. https://doi.org/10.1002/mp.13678

Keywords :

DBA, Threats, Encryption, Audit, Access Controls, Policy, Encryption, Media, Protection, Safety, Monitoring.