The potential of AI to revolutionize an industry is the biggest topic of discussion right now. No matter if you’re in government, banking and finance, retail, or education how AI will change the future is top of mind. And judging by the conversations at HIMSS19, it’s no different in the healthcare sector.
Healthcare already creates an enormous amount of data each and every day from patient care, from academic research, and commercial activities like drug testing and trials. But as NetApp’s Jessica Jorgensen pointed out in a recent interview the Internet of Medical Things (IOTM) is set to explode and create even more data that can be put to work to deliver better patient outcomes. Indeed, as HIMSS attendee Daniel Pacemen shared the “number of people using wearables to help track and [manage] chronic disease has increased 10%…”
”Number of people using wearables to help track and amanage chronic diseases has increased 10%”— interesting insights to start the day with…#HIMSS19 #Health2point0 #VentureConnect #HITventure @Rock_Health @MobiHealthNews pic.twitter.com/7cYsUCTSSi
— Daniel Peaceman (@D_Peaceman) February 13, 2019
But is too much data too much of a good thing? Some providers might certainly think so. As Tom Castles, Associate Director of Editorial for @HCA_News and @MDMagazine, tweeted from a conversation on the third day of HIMSS, physicians are already “looking for a needle in a haystack, and you just keep adding on hay.”
“A physician once said to me, ‘We’re looking for a needle in a haystack, and you just keep adding on hay.’ We really need to organize our work around helping these physicians find the needle.” – @Don_Woodlock #HIMSS19 #Aim2Innovate pic.twitter.com/bzDx2K993S
— Tom Castles (@theTomCastles) February 13, 2019
So, how can technologists help healthcare professionals manage the petabytes of data that are piling up and put them to work to improve the patient experience?
#HIMSS19 “We have got to liberalize the data says Dr. Miller @Cigna and improve the patient experience and work collectively” pic.twitter.com/GbJFeDpkiI
— Mary Griskewicz (@mgriskewicz) February 13, 2019
It all starts with having a robust data storage and management infrastructure in place, one that can scale on demand, mitigate the impact of latency, and protect patient privacy. A hybrid data management infrastructure – one that is built on a combination of cloud and all flash storage – will enable researchers, administrators, and physicians to leverage innovation while keeping sensitive patient data, applications and systems on-premise.
With that type of infrastructure in place healthcare’s digital data revolution, including putting AI to work “to make faster, more accurate diagnoses,” can come to fruition.
DYK doctors are now using #AI to make faster, more accurate diagnoses? Visit our blog to learn other ways the healthcare industry is benefiting from artificial intelligence and #deeplearning. #HIMSS19 https://t.co/0YSuYZAShv
— NetApp (@NetApp) February 13, 2019
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