AI solutions for medical health contact centers can significantly reduce clinicians' administrative workload by taking over routine tasks. These tasks include scheduling appointments, collecting billing and insurance information, and managing patient inquiries. In addition, AI virtual assistants also provide various services, such as telehealth chatbots for advising patients, automated regular follow-ups to ensure continuous care, medication refill reminders, and efficiently directing patients to appropriate services. This helps simplify processes and allows clinicians to focus more on patient care.
Leverage NVIDIA's powerful generative AI models to create scalable and high-performance healthcare solutions.
NVIDIA's AI models and platforms make it easier to harmonize and aggregate real-world data, thereby achieving faster and more accurate insights. They simplify complex data management, shorten discovery time, and maintain data quality and compliance at the same time.
Leverage NVIDIA NIM™ microservices and Blueprints to seamlessly integrate cutting-edge technology into your healthcare applications. Our tools offer flexibility, security, and scalability, which can shorten development time and reduce total cost of ownership.
NVIDIA's Digital Health Reference Solution is built using NIM microservices and NIM Agent Blueprints, enabling developers to easily create and use AI in the healthcare field. The reference solution includes out-of-the-box interactive applications, public datasets for workflow testing, and pre-trained models for rapid integration. By using detailed reference architectures, API definitions, customization, and orchestration tools to manage and deploy workflows and microservices, existing NIM Agent Blueprints can help simplify the entire process of developing, customizing, and deploying AI solutions.
Optimized triage workflows improve patient consultation efficiency, enabling medical institutions to assign triage-related tasks to virtual assistants, which can convert patient information into documents compliant with the FHIR format.
