Sheba ' s electronic medical record ( EMR ) is well established , but the next step is to run AI-based decision support systems on top . " We ' ve been using AI for many years at Sheba , while at most locations it ' s still considered a thing of the future . For us , it ' s been part of our care for at least five years now . "
Zimlichman and his team are currently mapping all the processes in the hospital to make decisions about which ones can be automated . " The idea is to remove some of the excess work that teams have to do manually , which is a big contributor to staff burnout ."
" For example , many of the processes that need to be done through AI can be automated . Some don ' t need AI , but it could definitely come into play , such as on the clinical side , providing us with better insights into the patient ' s condition . A few years ago we implemented a decision support system that helps us avoid medication errors . This is something that is already being done in many hospitals , but our system is AI-based , so it learns with time and improves its decision capabilities . It ' s much more accurate than the traditional systems that are rule-based " Zimlichman explains .
" We have a plan laid out all the way to 2030 to make sure that every process that can be automated , whether rule-based or through AI rules , will be " he adds .
As a smart hospital , Sheba produce a huge amount of data . " I would probably say we ' re one of the most data rich hospitals in the world ," Zimlichman says . " We ' ve understood in the past couple of years that it ' s not just about having a lot of data , it ' s also about how the data is structured and how it is accessed , and how easy it is to create value from the data . Just sitting on top of piles of data doesn ' t create value by itself ."
To make the best use of this data , Sheba partnered with MDClone , an Israeli data analytics company . " The system allows
46 March 2022