The economic impact of sepsis treatment, which costs an average annual loss of $34+ million for a 500-bed hospital (per a recent HFMA study – LINK), marks it as one of the most significant cost-containment opportunities nationwide. Given staffing and capacity shortages, harnessing effective strategies and holistic solutions to manage sepsis is paramount.

Identifying sepsis as early as possible has long been the proven strategy for optimizing outcomes and minimizing burden to the system. It’s been shown in research that Bayesian’s AI capabilities can support earlier detection and treatment of sepsis, driving down costs and elevating patient care simultaneously.

LINK: Read more about our groundbreaking, peer-reviewed research