Predictive Analytics In Health Systems

The Origin Story of the Rothman Index – Episode 5

Hospitals collect enormous amounts of clinical data, yet preventable patient decline remains a persistent challenge. Over the past two decades, hospitals have invested heavily in early warning scores and rapid response infrastructure, but translating data into timely, meaningful action has proven difficult. As clinicians contend with alert fatigue and increasing documentation burden, a more…

My Mother and the Story of the Genesis of the Rothman Index – Episode 4

Healthcare generates enormous volumes of clinical data, yet making sense of that information in real time remains a challenge. Subtle changes in vitals, labs, and nursing assessments often precede serious events, but when that information is fragmented across the medical record, emerging risks can go unnoticed. The central challenge facing hospitals today is not…

Healthcare Operations Improve with AI That Unites Data, Automation, and Ethics

Generative AI has captured the public imagination, but its most transformative use cases may lie far from flashy consumer tools. In healthcare operations, where complexity, inefficiency, and fragmentation remain persistent challenges, AI is now driving measurable improvements. Research suggests AI-enabled healthcare systems could cut administrative costs by up to $360 billion in the U.S. alone….