Cloud-Powered Multimodal AI in Patient Care: A Technical Analysis

Authors

  • Pramod Malikarjun Halapeti Amazon Web Services, USA Author

DOI:

https://doi.org/10.32628/CSEIT251112358

Keywords:

Cloud-Native Healthcare, Multimodal AI Systems, Healthcare Data Integration, Clinical Decision Support, Healthcare Security Framework

Abstract

This comprehensive article explores the transformative impact of cloud-native multimodal AI systems in healthcare, examining their implementation architecture, technical benefits, and future considerations. The article investigates how distributed computing architectures enable seamless voice recognition, medical imaging, and sensor data analytics integration for enhanced patient care. The article demonstrates significant improvements in resource utilization, data processing capabilities, and clinical outcomes through cloud-native implementations. The article encompasses various aspects, including infrastructure components, security measures, performance advantages, and clinical applications, while also addressing the technical challenges and evolutionary paths in healthcare cloud computing.

Downloads

Download data is not yet available.

References

Grand View Research, "Healthcare Cloud Computing Market Size, Share & Trends Analysis Report By Type (Clinical Information Systems, Non-clinical Information Systems), By Deployment, By Pricing Model, By Service Model, By End-use, By Region, And Segment Forecasts, 2024 - 2030." [Online]. Available: https://www.grandviewresearch.com/industry-analysis/healthcare-cloud-computing-market

Adel Zaalouk et al., "Cloud Native Artificial Intelligence," Cloud Native Computing Foundation (CNCF), Technical Report, March 2024. [Online]. Available: https://www.cncf.io/wp-content/uploads/2024/03/cloud_native_ai24_031424a-2.pdf

K.s Santhi and Saravanan Ramakrishnan, "Performance Analysis of Cloud Computing in Healthcare System Using Tandem Queues," ResearchGate, August 2017. [Online]. Available: https://www.researchgate.net/publication/319403591_Performance_Analysis_of_Cloud_Computing_in_Healthcare_System_Using_Tandem_Queues

Alexandru Rancea et al., "Edge Computing in Healthcare: Innovations, Opportunities, and Challenges," Future Internet 2024, 16(9), 329, 10 September 2024. [Online]. Available: https://www.mdpi.com/1999-5903/16/9/329

Sairohith Thummarakoti, "Advanced Container Orchestration Strategies for Multi-Cloud Environments: Enhancing Performance, Scalability, and Resilience," International Journal of Science and Research (IJSR), Volume 14 Issue 2, February 2025. [Online]. Available: https://www.ijsr.net/archive/v14i2/SR25129074846.pdf

Mohammad Mehrtak et al., "Security challenges and solutions using healthcare cloud computing," J Med Life. 2021 Jul-Aug;14(4):448–461. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC8485370/

Ming Jiang et al., "Cloud-native-based flexible value generation mechanism of public health platform using machine learning," Neural Computing and Applications, Volume 35, pages 2103–2117, (2023), 26 April 2022. [Online]. Available: https://link.springer.com/article/10.1007/s00521-022-07221-5

Balamurugan Sivakolunthu Vel, "Real-time Healthcare Data Integration: A Cloud-Native Architecture for Merging EHR and IoT Device Data," ResearchGate, January 2025. [Online]. Available: https://www.researchgate.net/publication/388362774_Real-time_Healthcare_Data_Integration_A_Cloud-Native_Architecture_for_Merging_EHR_and_IoT_Device_Data

Shrikanth Shetty, "Cloud Evolution for Life Sciences and Healthcare," HCLTech, Technical Report, November 2024. [Online]. Available: https://www.hcltech.com/sites/default/files/documents/resources/pdf-landing-page/files/2024/11/25/healthcare.pdf

Shreshth Tuli et al., "Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions," Wiley, 19 January 2020. [Online]. Available: https://dsg.tuwien.ac.at/team/sd/papers/Zeitschriftenartikel_2020_SD_Next.pdf

Downloads

Published

25-02-2025

Issue

Section

Research Articles

How to Cite

Cloud-Powered Multimodal AI in Patient Care: A Technical Analysis. (2025). International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 3355-3364. https://doi.org/10.32628/CSEIT251112358