AI Predicts Which Patients Will Code, Allowing Early Intervention

I will occasionally report inLab Soft News about examples of artificial intelligence (AI) that are being introduced into healthcare because the use of such tools will radically change the way care is rendered. One such example is a recently developed algorithm that generates warnings about which patients are in imminent danger of"coding" in the hospital (see: Ochsner Health System: Preventing cardiac arrests with AI that predicts which patients will ‘code’). Such a warning enables physicians to intervene earlier for them. Below is an excerpt from the article:In modern hospitals, doctors and nurses are trained to rush into action when a patient “codes” – suffers a cardiac or respiratory arrest and needs immediate medical help. But what if doctors could see into the future and know who is about to code, so they could prevent a code from happening in the first place?A new artificial intelligence tool launched by Ochsner Health System enables doctors to do just that, by analyzing thousands of data points to predict which patients will deteriorate in the near future.....In a 90-day pilot with the system last fall, Ochsner successfully reduced the hospital ’s typical number of codes by 44 percent. It’s now expanding the technology to a 24-hour schedule and to more hospitals in its network, which constitutes Louisiana’s largest not-for-profit system.....Predictive models need massive amounts of data, and the groundwork with Epic ’s comprehensive hea...
Source: Lab Soft News - Category: Laboratory Medicine Authors: Tags: Healthcare Delivery Healthcare Information Technology Healthcare Innovations Medical Ethics Medical Research Quality of Care Source Type: blogs