Serverless Cloud and Quantum AI-Driven Healthcare ERP with LLMs for Dynamic Business Optimization
Main Article Content
Abstract
In modern healthcare organisations, enterprise resource-planning (ERP) systems are being challenged by increasing complexity in clinical workflows, administrative processes, regulatory compliance, and rapidly changing business rules. This paper proposes a next-generation architecture for healthcare ERP that combines a serverless cloud native infrastructure and a quantum-enabled artificial‐intelligence layer to deliver dynamic business-rule optimisation and adaptive operational responsiveness. The proposed framework decouples functional modules (finance, supply-chain, human resources, clinical operations) into event-driven serverless services deployed in the cloud, enabling elastic scalability, pay-as-you-go cost models and segregated microservice boundaries. On top of this, a hybrid quantum/classical AI engine optimises business-rule sets (such as resource allocation, scheduling, billing, compliance checks) by formulating them as combinatorial optimisation problems solved via quantum or quantum-inspired algorithms. The synergy of serverless cloud and quantum AI allows healthcare organisations to dynamically adapt business logic and workflows in real time, respond to changing regulatory regimes, patient volumes, and cost pressures while maintaining high reliability, security and compliance. The paper outlines the architectural components, integration strategy, optimisation logic, and governance model. Keywords and an extensive literature review are included, followed by a research methodology, discussion of advantages and limitations, and suggestions for future work.
Article Details
Section
How to Cite
References
1. Abd Elmonem, M., Nasr, E., & Geith, M. (2016). Benefits and challenges of cloud ERP systems – A systematic literature review. Future Computing and Informatics Journal, 1(1), Article 1.
2. Sudhan, S. K. H. H., & Kumar, S. S. (2015). An innovative proposal for secure cloud authentication using encrypted biometric authentication scheme. Indian journal of science and technology, 8(35), 1-5.
3. Vinay Kumar Ch, Srinivas G, Kishor Kumar A, Praveen Kumar K, Vijay Kumar A. (2021). Real-time optical wireless mobile communication with high physical layer reliability Using GRA Method. J Comp Sci Appl Inform Technol. 6(1): 1-7. DOI: 10.15226/2474-9257/6/1/00149
4. Sasidevi Jayaraman, Sugumar Rajendran and Shanmuga Priya P., “Fuzzy c-means clustering and elliptic curve cryptography using privacy preserving in cloud,” Int. J. Business Intelligence and Data Mining, Vol. 15, No. 3, 2019.
5. Kumar, R., Al-Turjman, F., Anand, L., Kumar, A., Magesh, S., Vengatesan, K., ... & Rajesh, M. (2021). Genomic sequence analysis of lung infections using artificial intelligence technique. Interdisciplinary Sciences: Computational Life Sciences, 13(2), 192-200.
6. Algarni, M., & Alsanad, A. (2018). Cloud computing and ERP: An academic literature review (2010-2015). UK Academy for Information Systems Conference Proceedings 2018, 28.
7. Bjelland, E., & Haddara, M. (2018). Evolution of ERP systems in the cloud: A study on system updates. Systems, 6(2), 22.
8. Muthirevula, G. R., Kotapati, V. B. R., & Ponnoju, S. C. (2020). Contract Insightor: LLM-Generated Legal Briefs with Clause-Level Risk Scoring. European Journal of Quantum Computing and Intelligent Agents, 4, 1-31.
9. Cherukuri, B. R. (2019). Serverless revolution: Redefining application scalability and cost efficiency. https://d1wqtxts1xzle7.cloudfront.net/121196636/WJARR_2019_0093-libre.pdf?1738736725=&response-content-disposition=inline%3B+filename%3DServerless_revolution_Redefining_applica.pdf&Expires=1762272213&Signature=XCCyVfo54ImYDZxM5lPQQ2nkTOzAKecpW86qlfne0lLpMlvC6WaoSiOBsyS3SyoPj8nAPWdSqFOeiZqIwKsTriCNb6de-mfqXndHQwXRcrA7aVAoQ2txD12Ph36pxjJRJehcVlRK0o878Lh-1nc2mmtJEssNhLC8sVziFBjWuaUiW2Gr0YEZ8ZgIOfHv7gPNREi4JzDmIxpr8eTxb08LoN8KlFSLgouF4SpPoejQYmYOW7JRNijqsMnyhfjSsDv8fdrjSbkb2w-GD7tWhZHVT-1Vu03XPRsjVN-fbMtINmy9tAbgjElqevLlU36g54NdZ8VG4H2pouSeuv55VROnlA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
10. Mucheleka, M., & Halonen, R. (2015). ERP in Healthcare. Presented at the University of Oulu, Finland.
11. Begum RS, Sugumar R (2019) Novel entropy-based approach for cost- effective privacy preservation of intermediate datasets in cloud. Cluster Comput J Netw Softw Tools Appl 22:S9581–S9588. https:// doi. org/ 10.1007/ s10586- 017- 1238-0
12. Romero, J., López, P., Vázquez Noguera, J. L., Cappo, C., & Villalba, C. (2016). Integrated, reliable and cloud-based personal health record: A scoping review. arXiv pre-print.
13. Anand, L., & Syed Ibrahim, S. P. (2018). HANN: a hybrid model for liver syndrome classification by feature assortment optimization. Journal of medical systems, 42(11), 211.
14. Md R, Tanvir Rahman A. The Effects of Financial Inclusion Initiatives on Economic Development in Underserved Communities. American Journal of Economics and Business Management. 2019;2(4):191-8.
15. Srinivas Chippagiri, Savan Kumar, SumitKumar, Scalable Task Scheduling in Cloud Computing Environments Using Swarm Intelligence- Based Optimization Algorithms‖, Journal of Artificial Intelligence and Big Data (jaibd), 1(1),1-10,2016.
16. Vengathattil, S. (2019). Ethical Artificial Intelligence - Does it exist? International Journal for Multidisciplinary Research, 1(3). https://doi.org/10.36948/ijfmr.2019.v01i03.37443
17. Anugula Sethupathy, Utham Kumar. (2020). Cloud-Native Architectures for Real-Time Retail Inventory and Analytics Platforms. International Journal of Novel Research and Development. 5. 339-355. 10.56975/ijnrd.v5i6.309063.
18. Sugumar, R. (2022). Estimation of Social Distance for COVID19 Prevention using K-Nearest Neighbor Algorithm through deep learning. IEEE 2 (2):1-6.
19. Gonepally, S., Amuda, K. K., Kumbum, P. K., Adari, V. K., & Chunduru, V. K. (2021). The evolution of software maintenance. Journal of Computer Science Applications and Information Technology, 6(1), 1–8. https://doi.org/10.15226/2474-9257/6/1/00150
20. Sridhar Kakulavaram. (2022). Life Insurance Customer Prediction and Sustainbility Analysis Using Machine Learning Techniques. International Journal of Intelligent Systems and Applications in Engineering, 10(3s), 390 –.Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7649
21. Anand, L., & Neelanarayanan, V. (2019). Feature Selection for Liver Disease using Particle Swarm Optimization Algorithm. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 6434-6439.
22. Sudhan, S. K. H. H., & Kumar, S. S. (2016). Gallant Use of Cloud by a Novel Framework of Encrypted Biometric Authentication and Multi Level Data Protection. Indian Journal of Science and Technology, 9, 44.
23. Atchade-Adelomou, P., Casado-Fauli, D., Golobardes-Ribe, E., & Vilasis-Cardona, X. (2021). Quantum Case-Based Reasoning (qCBR). arXiv pre-print.