DIGITAL HEALTH because it is difficult to diagnose and kills thousands of patients every year . " Surveillance of patient data is the most effective way to guard against an infection getting out of control , but it means scanning a huge set of routine results , tests and observations from thousands of patients at any one time .
" This is exactly the kind of big data set that can be actively monitored , looking for connections and patterns that give an early warning of infection . Wolters Kluwer ’ s clinical surveillance tool Sentri7 has been designed to do just this " Flannery says .
The importance of integration Sentri7 is embedded into the Electronic Medical Record ( EMR ) and uses a predictive algorithm to continuously monitor the inpatient hospital population in real-time .
It can analyse a range of different data , including patients ’ vitals , lab results and even doctors ’ notes with natural language processing ( NLP ).
Combining this with AI makes it especially powerful , Flannery says , as " Sentri7 can monitor over 500,000 patients at any given time , and processes four billion lab orders every year ."
The challenge overall is integration ; a hospital system Premier works with in North Carolina isn ' t integrated into Epic , the EMR . " They ' re doing duplicate entry and it ' s an absolute nightmare " Gentzlinger says . " Now we ' ve started conversations with them about how they can take this platform and connect it to their entire network , and integrate it with Epic ."
Premier ' s RTD feeds data into a dashboard that can be integrated into any EMR . This
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