Ochsner Health is a system that delivers health to the people of Louisiana, Mississippi and the Gulf South with a mission to Serve, Heal, Lead, Educate and Innovate.
AI & Predictive Modeling
iO is applying artificial intelligence (AI) and machine learning (ML) at the bedside to develop accurate, lifesaving predictive models.
iO is applying artificial intelligence (AI) and machine learning (ML) at the bedside to develop accurate, lifesaving predictive models.
Ochsner is focused on making healthcare more proactive, and iO’s work in this area is enabling us to intervene earlier or eliminate adverse outcomes altogether. Ochsner’s extensive and historical database of high-quality clinical data coupled with access to provider and clinical teams, allows iO to rapidly design, implement and test models and interventions in the real world to solve some of healthcare’s toughest clinical and operational challenges.
Through our work, we are creating tremendous value for Ochsner and our patients. Some examples are described below.
Patient Deterioration
In 2018, Ochsner became one of the first systems in the country to integrate AI into patient care workflows. In partnership with Microsoft and Epic, we co-developed a model to predict patient deterioration on inpatient units within a 4-hour window of time. Using this model, a dedicated rapid response team is able to evaluate a patient and address health issues that may otherwise have gone undetected. As a result, the program saw a 44% decrease in cardiac arrests and other adverse events outside of the ICU during a 90-day pilot period. The model is now live across Ochsner hospitals and we received the 2018 Microsoft Health Innovation Award in recognition for our work. Learn more in this video or read about it on CNBC.
Hospital Acquired Infections (HAI)
Teams of data scientists and clinicians are currently working on models to help predict patients that are at higher risk for acquiring infections in the hospital such as C difficile, sepsis and MRSA. Despite operational improvements, hospitals continue to struggle to prevent the development or spread of these infections which can be life-threatening. With an accurate model and appropriate interventions, our work has already shown great progress in drastically reducing infection rates.
