SAMIA: Applied AI for Hospital Care

SAMIA (Samel Hospital Artificial Intelligence) is an AI clinical platform designed to deliver measurable, real-world impact at the point of care. In a digital health landscape saturated with chatbots and isolated “AI features,” SAMIA was purpose-built to be deeply integrated into the electronic medical record and embedded across the entire patient journey—Emergency Department, outpatient clinics, and inpatient hospitalization. The core innovation of SAMIA lies in transforming how clinical information is captured, structured, and used in real time. SAMIA generates structured anamneses, enabling physicians to begin consultations with a complete, standardized clinical history ready for rapid validation. It supports clinicians throughout the encounter by assisting with diagnostic hypotheses, suggesting complementary exams, recommending medication options, flagging potential drug–drug interactions in real time, and generating safe, structured discharge guidance. All outputs are grounded in updated clinical guidelines and evidence-based protocols, reinforcing consistency and continuity of care. Unlike many AI solutions that remain confined to demonstrations or limited deployments, SAMIA is designed for high-volume, high-pressure environments and is performance-proven in daily practice. It achieves 99% documentation reliability for pre-triage anamneses requiring no physician edits and delivers 90% average diagnostic accuracy by ICD coding. These results demonstrate not only technical strength, but also strong clinical usability—physicians can validate quickly and devote more time to decision-making and patient interaction. SAMIA converts AI from a conceptual promise into a practical engine for speed, quality, and safer execution of care.