AI CarePoint = Edge × (FHIR + MCP)
AI is exponentiated at the point of care when real-time, standards, and context interact intelligently.
– uncompromisingly 100% FHIR-compliant. In addition to a FHIR backend, our offering includes a high-performance, specification-based FHIR validator and our agnostic FHIR terminology service (supporting SNOMED CT, LOINC, ICD-10, and other code systems), each with a lightweight codebase – available as PlugIns or API facades, ideally suited for embedded systems, cluster environments, and serverless architectures.Understanding health individually. Using knowledge.
AI agents could play an important role in making medical knowledge and research not only more understandable, but also more accessible – for example, in the context of personal digital health records. They have the potential to support individuals in active health management, accompany prevention and treatment, and provide helpful guidance amid an ever-growing flood of health information.
The healthcare system is facing major challenges – not only due to the increasing volume of information, but also because of workforce shortages and increasingly complex disease patterns. AI agents can help relieve pressure by structuring data, supporting clinical decisions, and enabling more coordinated, efficient, and personalized care.
Instruct instead of programming – intelligent agents take over.
Instructions can be provided in the form of speech, text, sketches, diagrams, code, structured data, examples, or concepts – individually or in combination. Healthcare providers can use this to assign AI agents specific tasks – such as supporting diagnosis based on complex patient data and the latest research findings, or developing personalized treatment plans. The agents operate in the background in a rule-based, transparent, and efficient manner: they analyze data, identify patterns, and derive prioritized, comprehensible recommendations – structured and accessible step by step. Results are delivered in the desired level of detail. Organized in clusters, the agents exchange information, complement and monitor one another, and coordinate complex processes collaboratively.
Rule-based access to deterministic data by AI agents takes place in the appropriate context using MCP (Model Context Protocol).HealthEdgents™ brings Digital Health to the point of care.
Real care needs tangible technology – right where it happens, with structure, context, and trust.
AI agents take over your routine – powered by your language and creativity. The potential is mindblowing.
