Clinivis is a clinical decision-support platform designed to help healthcare professionals see beyond the immediate prescription. It brings patient risk, medicines, clinical guidance and predictive simulations into one workspace, allowing clinicians to explore how interventions could affect the patient before making a decision. Built around patient-specific visualisation rather than isolated alerts, Clinivis makes complex clinical reasoning more connected, transparent and actionable.
Clinivis was inspired by my experience in pharmacy and seeing how complex clinical decisions can become when patient factors, medicines, risks and treatment options all need to be considered at once. I wanted to build something that could bring these pieces together in one place ā helping healthcare professionals visualise potential outcomes and make more informed, patient-specific decisions. This is an early prototype, and Iām excited to get feedback from clinicians, developers and anyone interested in healthcare AI.