Kubernetes Goes Healthcare: What We Can Learn from FinTech
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V1I4P103Keywords:
Kubernetes, healthcare, FinTech, containerization, HIPAA, data security, scalability, healthcare IT, digital transformationAbstract
The adoption of Kubernetes in healthcare is becoming a game-changer, much like its transformative impact on the FinTech industry. This abstract explores how Kubernetes, an open-source container orchestration platform, is driving innovation in healthcare by enhancing scalability, improving infrastructure management, and facilitating faster deployment of applications. Drawing parallels from the FinTech sector, which has successfully leveraged Kubernetes to handle complex transactions, ensure security, and adapt to regulatory changes, healthcare providers can learn valuable lessons. In FinTech, Kubernetes has enabled financial institutions to manage workloads with greater efficiency, reduce operational costs, and respond swiftly to market demands. Similarly, in healthcare, Kubernetes is poised to revolutionize the way providers manage patient data, streamline operations, and deliver personalized care. The ability to seamlessly scale applications and integrate new technologies, such as AI and machine learning, into healthcare systems mirrors the advancements seen in financial services. Moreover, Kubernetes' robust security features can address the stringent compliance requirements in healthcare, ensuring the safe handling of sensitive patient information. As healthcare organizations increasingly embrace digital transformation, the lessons learned from FinTech’s experience with Kubernetes can provide a roadmap for success. By adopting similar strategies, healthcare providers can achieve the agility, resilience, and innovation necessary to meet the evolving demands of the industry. This abstract highlights the potential of Kubernetes to not only optimize existing processes but also to pave the way for groundbreaking advancements in healthcare delivery, ultimately leading to better patient outcomes and a more efficient healthcare system
References
[1] Garbuio, M., & Lin, N. (2019). Artificial intelligence as a growth engine for health care startups: Emerging business models. California Management Review, 61(2), 59-83.
[2] Salvaris, M., Dean, D., & Tok, W. H. (2018). Deep learning with azure. Building and Deploying Artificial Intelligence Solutions on Microsoft AI Platform, Apress.
[3] Chakraborty, B., & Karthikeyan, S. A. (2019). Understanding Azure Monitoring: Includes IaaS and PaaS Scenarios. Apress.
[4] Vyas, N., Beije, A., & Krishnamachari, B. (2019). Blockchain and the supply chain: concepts, strategies and practical applications. Kogan Page Publishers.
[5] Yao, M., Zhou, A., & Jia, M. (2018). Applied artificial intelligence: A handbook for business leaders. Topbots Inc..
[6] Elton, J., & O'Riordan, A. (2016). Healthcare disrupted: Next generation business models and strategies. John Wiley & Sons.
[7] Herzlinger, R. E. (2006). Why innovation in health care is so hard. Harvard business review, 84(5), 58.
[8] Marr, B. (2019). Artificial intelligence in practice: how 50 successful companies used AI and machine learning to solve problems. John Wiley & Sons.
[9] Burgess, A. (2017). The Executive Guide to Artificial Intelligence: How to identify and implement applications for AI in your organization. Springer.
[10] Gastaldi, L., Pietrosi, A., Lessanibahri, S., Paparella, M., Scaccianoce, A., Provenzale, G., ... & Gridelli, B. (2018). Measuring the maturity of business intelligence in healthcare: Supporting the development of a roadmap toward precision medicine within ISMETT hospital. Technological Forecasting and Social Change, 128, 84-103.
[11] Burns, B., & Tracey, C. (2018). Managing Kubernetes: operating Kubernetes clusters in the real world. O'Reilly Media.
[12] Muralidharan, S., Song, G., & Ko, H. (2019). Monitoring and managing iot applications in smart cities using kubernetes. Cloud Computing, 11.
[13] Luksa, M. (2017). Kubernetes in action. Simon and Schuster.
[14] Santos, J., Wauters, T., Volckaert, B., & De Turck, F. (2019, June). Towards network-aware resource provisioning in kubernetes for fog computing applications. In 2019 IEEE Conference on Network Softwarization (NetSoft) (pp. 351-359). IEEE.
[15] Pierantoni, G., Kiss, T., Terstyanszky, G., Dang, H. V., Delgado Olabarriaga, S., Tuler de Olivera, M., ... & Penzel, T. (2019, May). A Secure Cloud-based Platform to Host Healthcare Applications. In 11th International Workshop on Science Gateways, IWSG 2019.