03/26/17
As I discussed in my previous blog post, sepsis is a huge point of concern for Dignity Health and anything they can do to reduce the damage of sepsis is important to them.
It is for this reason that they have begun several different projects to monitor and predict the occurrence of sepsis to hopefully stop or lessen the damage of the complication.
Currently, they have created an alert system that monitors each step of the sepsis treatment process and puts it on a timer to ensure it is all done within the time constraints set for the specific task in the process of treating sepsis. Each step is marked by a digital light that is illuminated green as completed, yellow as in progress, or red as needing to be done. This is an easy visual to guide physicians as they deal with many many patients, as well as a means for the backend systems to remind doctors that certain patients may need treatment immediately. Allowing a large server to handle all the current patient data so that it can help physicians manage their time.
As time goes on, they are developing systems that will be able to predict the incidence of sepsis before it has even officially begun. This leverages big data to track all the different cases of sepsis and correlate which combination of factors commonly lead to sepsis, thereby allowing the server to throw an error that a certain patient may be at high risk of sepsis. Yet another example of how we can use big data platforms to process massive amounts of information to accomplish an incredibly important result.
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