LCloud joins the AI in Health Coalition!
We are excited to announce that LCloud has joined the AI in Health Coalition—an initiative that brings together technology and healthcare leaders to harness the power of artificial intelligence in medicine. Through this partnership, we have the opportunity to actively support the development of innovative solutions that enhance diagnostics, treatment, and medical data management.
About the AI in Health Coalition
The AI in Health Coalition serves as a collaborative platform for organizations dedicated to advancing and implementing cutting-edge AI technologies in the medical sector. Its mission is to promote the ethical and effective use of AI in healthcare while addressing technological and regulatory barriers that may hinder its adoption. The coalition includes technology companies, medical institutions, and research organizations—and now, LCloud is proud to be part of it!
Our Experience in HealthTech
Nutricia
At LCloud, we have been delivering cloud and AI-driven projects for the healthcare industry for years. One such example is our implementation for Nutricia, where we designed a modern AWS cloud infrastructure tailored to support rapidly increasing traffic and dynamic marketing campaign demands. This solution enables the brand to efficiently manage its services, eliminate performance issues, and optimize maintenance costs. To learn more about our experience in the healthcare sector, check out our case study.
Healthtech from Australia
The second collaboration, but equally interesting, is with a HealthTech company from Australia , specializing in providing advanced IP-based communication systems for nurses and healthcare facilities. Alexys faced several challenges, including ensuring high service availability, controlling infrastructure costs, improving software performance, and addressing connectivity issues in remote locations.
To meet these requirements, the customer decided to migrate the nurse call systems. The initial phase involved migrating existing systems to Kubernetes, followed by the development of a containerized environment using Docker for AWS. We also integrated Amazon ECR, streamlining the workflow from development to production, ultimately transitioning to a hybrid solution.
As a result, the company gained a highly available and scalable environment that allowed it to effectively manage its growing number of services and devices. Automated deployment processes have significantly accelerated application updates, while containerization has reduced infrastructure maintenance costs. Moreover, cross-team collaboration has improved despite connectivity challenges in remote locations, and the implemented solutions ensure a high level of data security, stabilizing operations and enhancing efficiency.
Shaping the future of AI in Health together
We are confident that our expertise in cloud solutions and Generative AI (GenAI) will enable us to make a real impact on the future of AI in healthcare.
Stay tuned for more updates—we are embarking on an exciting journey toward a more innovative and efficient healthcare ecosystem!
