Eric Schmidt Discusses the Potential Value of Predictive Analytics in the ER

For me, one of the major future changes in diagnostic medicine will be the use of predictive analytics based on deep learning and big data (see:Integrated Clinical Research Databases: A New Way to"Monetize" Clinical Data;What Are the Consequences of Big Tech Entering the Healthcare Market?). This new science will enable the prediction of future"outcomes" for patients. This trend was emphasized by former Google CEO Eric Schmidt in a lecture at HIMSS 2018 (see:HIMSS 2018: ‘Run to the Cloud,’ says Former Google CEO Eric Schmidt). He referred to the trend as leveraging the power of predictive analytics. Below is an excerpt from the article:Chief among innovations — what Schmidt called “the really powerful stuff at the edge” of his work — are predictive algorithms, he said.While it ’s one thing to be able to classify, it’s another thing entirely to be able to predict next steps. “We have physicians within our company who believe that if these algorithms for prediction work, we can predict outcomes in the ER, for example, 18 to 24 hours earlier than any other observation system,” Schmidt said.“We can’t predict our own fates, but machines can. That’s what I want as I age: I want the computer and all this work I’ve done over my whole career to make sure that I have a healthy life.”It's interesting that Eric Schmidt chose to emphasize the value of predicting outcomes in the ER during his recent lecture at HIMSS. ER visi...
Source: Lab Soft News - Category: Laboratory Medicine Authors: Tags: Clinical Lab Testing Cost of Healthcare Healthcare Delivery Healthcare Information Technology Healthcare Innovations Lab Processes and Procedures Medical Research Medicolegal Issues Quality of Care Source Type: blogs