was successfully added to your cart.

AI in Healthcare Blog

Ideas, Risks, and Breakthroughs in Improving Healthcare with AI.

A Step-by-Step Playbook for Digitizing Every Patient Touchpoint How forward-thinking health systems are using healthcare-native AI to connect every clinical and operational workflow, from admission to discharge and beyond. Introduction:...

Healthcare systems worldwide face a growing challenge: rising patient demand, aging populations, and limited human resources. Physician shortages, burnout, and administrative overload threaten care quality, access, and sustainability. Large Language...

FHIR defines standardized resources, including Patient, Observation, Condition, Medication, Encounter, and DiagnosticReport that enable health data exchange across electronic health records, registries, analytics platforms, and artificial intelligence services. By representing...

When Lunar Analytics built their agentic artificial intelligence platform for pharmacy benefits management, the technical challenge extended beyond clinical decision support recommendations. Their system needed to execute workflows autonomously: automated...

Clinical NLP teams regularly deploy pre-annotation servers across multiple project types: NER for text extraction, Visual NER for document processing, classification models for categorization. Each project type requires compatible pipelines....