AI and Digital Medicine Provide Real-Time Data to Improve Patient Care

August 3, 2018

In the Lab

// By Sheryl S. Jackson //

Sheryl JacksonThe drama of a “code team” racing to a patient’s bedside is a frequent scene in the myriad of hospital-based television shows that are popular today, but the innovationOchsner team has plans to replace the emphasis on teams that respond after a cardiac arrest.

What if you could predict a potential event in the next four hours and, by doing so, avoid having it occur in the first place?

An artificial intelligence (AI) tool developed by the innovation team at Ochsner Health System — using Epic’s machine learning platform and powered by Microsoft Azure — produced a predictive model that continually monitors patient data to identify subtle changes in a patient’s condition.

Richard V. Milani, MD, FACC, FAHA, medical director of innovationOchsner

Richard V. Milani, MD, FACC, FAHA, medical director of innovationOchsner

This is one of many projects Ochsner Health System’s innovation lab, innovationOchsner, is tackling. Founded in 2015, the goal of innovationOchsner is to improve the experience for patients and healthcare providers, says Richard V. Milani, MD, FACC, FAHA, medical director of innovationOchsner and chief clinical transformation officer and vice chairman of the cardiology department. The group’s technology-based initiatives are being implemented on both the inpatient and outpatient sides of healthcare.

In our latest In the Lab article, we get an inside look at how transformation happens at Ochsner Health. Developing tools that make a nurse’s or physician’s job more efficient, and allow them to provide better care to patients, can be accomplished with technology and a fresh look at workflow, Milani says.


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