Development of a SaaS Platform for Real-Time Patient Monitoring

In the rapidly evolving landscape of healthcare, there is an acute need for efficient patient monitoring systems that can facilitate real-time data access and alert mechanisms for healthcare professionals. We are a startup aiming to revolutionize the way patient vitals are monitored and managed in hospitals and clinics. Our proposed SaaS platform will incorporate AI algorithms to analyze patient data and provide predictive insights, allowing for proactive healthcare interventions. The platform will be developed using a microservices architecture, with Kubernetes facilitating seamless deployment and scaling. Real-time data handling will be achieved through WebSockets, while ElasticSearch will power the search and analytics capabilities. For transactional and authentication needs, we will integrate with Stripe and Auth0 respectively. Our solution emphasizes ease of use with a no-code/low-code interface, enabling healthcare providers to customize alerts and dashboards according to their specific needs. This project requires development expertise in microservices, real-time communication, and AI-driven analytics, with an emphasis on multi-tenancy and security.