Building Healthcare IT Apps with Artificial IntelligenceBuilding Healthcare IT Apps with Artificial Intelligence
In this video, see how InterSystems IRIS for Health™ allows healthcare facilities to manage their data and interface with artificial intelligence applications, web services, and data models.
Healthcare is increasingly benefitting from research on artificial intelligence (AI). While care networks grow and data standards mature, more and more AI systems are technically capable enough to handle real environments. InterSystems IRIS for Health allows healthcare facilities to manage their data and interface with AI applications, web services, and data models.
Research advancements in the late 2010s have increased the number of AI systems supporting the lives of healthcare stakeholders:
- Clinicians use AI to process lab results, optimize care trajectories, and do automated screenings. AI applications also assist in clinical note-taking.
- Researchers use machine learning to optimize models of real systems and support diagnosis and discovery.
- Administrators benefit from an increase in standardization, paperwork automation, and validation.
The time saved by these automations is said to reduce burnout and create more opportunities to connect with patients. An overall reduction in mistakes leads to reduced costs, and patients in turn benefit from these innovations.
