Hospitals produce 50 petabytes
of structured and unstructured data every year and around 97% of it is not used. This data is a huge asset and, if put to work, can support real-time decision-making. Cloud computing for hospitals uses big data analytics
and artificial intelligence with its subsets
to offer advanced computational capabilities. It can aggregate and analyze vast amounts of relevant patient data. Doctors can use the insights to improve the diagnosing process, craft customized treatment plans, facilitate patient engagement
, and spot any missing information from patients’ EHRs.
Additionally, analytics can help spot any malfunctioning in the hospital system. For example, AWS CloudWatch Synthetics can check on vital monitoring devices every minute 24/7 and issue an immediate warning if a device starts behaving differently.
B.J. Moore, CIO of Providence, believes that the cloud is a breakthrough in healthcare analytics. Here’s what he said,“ We use advanced AI models to predict COVID outbreaks, and if we didn’t have the cloud, we wouldn’t have been able to do this modeling. All the waves of innovation are going to be in the cloud, and if you want to compete, you have to be in the cloud.”
Hygenix Inc., a patient safety tech company based in Connecticut, teamed up with ITRex to develop a platform of IoT cloud-connected devices
to monitor hand hygiene of its healthcare staff. The platform gathered data on hand hygiene events, analyzed it, and produced reports to encourage better hygiene practices. After deployment, the participating hospitals witnessed over 70% increase in hand hygiene compliance within just one week.