Predictive Analytics

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…

The Answers You Wanted On Sepsis – Episode 3

In episode three of The Michael Rothman Podcast, Dr. Rothman continues his deep dive into sepsis—a condition often misunderstood yet responsible for a significant portion of hospital deaths. Through data from a major northeastern hospital, he challenges traditional thinking: labeling a patient as “septic” isn’t what determines survival—their overall sickness is. Using the…

Smarter, Faster, Kinder: How AI Can Help Hospitals Deliver Better Care, All While Keeping Care Human

Artificial intelligence (AI) is no longer just a buzzword in healthcare — it’s becoming a real partner in how providers care for patients and improve everyday experiences. With rising patient expectations, limited resources, and mounting administrative complexity, hospitals and insurers alike are turning to AI to improve efficiency, communication, and satisfaction. In fact, Citi research…

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….

Omnicell Tackles Medication Inefficiency with RFID, AI, and a Vision for the Autonomous Pharmacy

As healthcare systems grapple with persistent staffing shortages and rising patient volumes, the need for streamlined, tech-enabled workflows has become urgent. A 2024 time-motion study across four hospitals found that clinical pharmacists spend over 80% of their time on clinical activities, with nearly 12% dedicated to face-to-face patient interaction. That leaves less than 20%…

Smart Tools, Safer Patients: Dr. Arpita Hazra Talks AI in Healthcare

Hospitals are leveraging machine learning and clinical data to identify safety risks before they harm patients

A New Dawn in Medicine: The Intersection of AI and Value-Based Care Could Reduce Costs, Increase Access

Artificial intelligence combined with value-based care models is reshaping how providers deliver treatment while simultaneously lowering expenses and expanding

Bigger Profits, Better Decisions: The Transformative Impact of Integrating AI and IoT into Supply Chains

Connected technology and real-time data are enabling supply chain leaders to optimize operations and respond faster to market disruptions

AI Looks to Add the Value in Value-Based Care in 2024

Healthcare providers are turning to AI to unlock the financial and clinical benefits that value-based care promises

Efficiency in Healthcare is Needed as the Aging and Chronically Ill Population is Set to Increase

Healthcare providers must dramatically improve operational efficiency to meet surging demand from an aging population with chronic conditions