OCINET
“ In the old days , you would have to wait for availability for that image to be taken and then wait for the reading ”
SHAFIQUE SHAMJI PRESIDENT & CEO ,
OCINET industries across the globe , and healthcare is no exception . As Shamji explains , with OCINet managing such enormous amounts of data , the organisation meets one of the core requirements for proper AI : big data .
“ We manage almost 12 petabytes of data . That , by definition , is big data . So we have one of the core components required to actually implement a strong AI capability . The corollary for that is that the value of AI is likely at the point of care , the highest value . There are other values of AI when it comes to sort of population health analytics , for instance . But in terms of providing care and where you can actually use it the most , it ’ s really at the point of care . We ’ re trying to figure out what is the best use of AI with the data that we have , as much as public policy and legal requirements allow .
“ Right now , I don ’ t think anyone ’ s particularly there yet with enterprise-grade AI capabilities for imaging , but I think we ’ re pretty close . What I ’ d like to start to do is try and get our foundation in place so that we can make full use and take full advantage of AI when it ’ s ready for these large enterprisegrade capabilities ,” Shamji adds . “ That ’ s why there has been such a large push towards centralising all of the DIRs and bringing all of that data into one single repository . Whether it ’ s cloud-based or local at that point , there is value to both . Ultimately , we ’ re focused on centralising so that we can take advantage of AI capabilities .” ocinet . ca 17