In high pressure emergency departments, clinicians often face extreme cognitive load and fragmented data from static electronic medical record systems. This case study shows how BMJ clinical intelligence and Sayvant provide live, context-aware decision support. This collaboration helps clinicians focus on clinical decisions rather than data gathering.

By combining BMJ Group’s expert curated medical knowledge graph with voice enabled AI, healthcare organisations can close diagnostic gaps and ensure evidence based care.

Why this matters for your organisation

• improve diagnostic accuracy by flagging diagnoses such as mesenteric ischemia that are frequently overlooked
• strengthen patient safety with automated drug-disease interaction checks to identify risks like renal-safe dosing or anticoagulation complications
• reduce documentation burden using automated clinical notes and problem lists, returning more time to patient care
• drive operational efficiency through protocol reinforcement and automated coding to improve throughput and charge capture