Hospitals are getting smarter as more and more machines start talking to each other. When sensor-mounted hospital beds can tell asset management software where they are, it means resources are available when patients need them.
GE Healthcare’s AgileTrac patient-tracking solution delivers a real-time view of how hospital resources are working, at any point in time, to care for a patient. AgileTrac uses real-time location system technology and sophisticated applications to track the physical location of each patient, asset and hospital staff member. It communicates with the facility’s clinical and business systems, such as the electronic medical record and enterprise resource-planning software. AgileTrac creates a live network throughout the hospital through wi-fi, radio frequency and infrared wireless communications.
In April 2012, a large hospital in Florida implemented . Since then, the time that its patients spend waiting in the emergency department has been reduced by 68 percent.
Time can be the most valuable resource in a hospital, and GE is committed to seeing that it’s spent as efficiently as possible.
GE is deploying brilliant machines to hospitals to connect patients to software and staff. It’s the hospital of tomorrow coming to communities around the globe today where computers and smart tools talk to each other millions of times a second. The result reduces patient wait times and helps healthcare workers increase hospital efficiency.
We all know Agent Smith, an artificial intelligence program within The Matrix universe that was designed to keep order. Now GE is using its own Agent Smith for the good of humanity, bringing the industrial internet to healthcare, wiring hardware with innovative software that uses data to track patients and equipment.
GE works on things that matter. The best people and the best technologies taking on the toughest challenges. Finding solutions in energy, health and home, transportation and finance. Building, powering, moving and curing the world. Not just imagining. Doing. GE works.
TM & © Warner Bros. Entertainment Inc.
There’s a new supercomputer out there. Its massive processing power is capable of solving once intractable problems in healthcare, aviation and other pursuits where daily operations produce oceans of data.
The big companies have just recently started to feed the bottlenecks that have long dragged them down into this data-analyzing behemoth. It exacts from statistical and machine-learning tools the fixes to daily annoyances as disparate as late plane arrivals and hospital discharges.
But this supercomputer isn’t comprised of dozens of servers humming away on racks in air-conditioned rooms. It’s a distributed model, with petaflops-worth of processors sitting in a bedroom in New York, an apartment in Warsaw and an office in Singapore. This supercomputer is made of people.
Global Internet connectivity, an expanding industrial Internet of machine sensors generating data and talking to each other, and a community of data scientists creating refined tools to work with all that information are all merging into this virtual supercomputer.
The Institute of Medicine estimates that tens of thousands of Americans die needlessly every year from avoidable medical errors, including infections acquired during surgery. GE and the U.S. Department of Veterans Affairs have now teamed to change it. They will jointly develop an “intelligent” system using robots, computer vision and automatic identification technologies like RFID tags to sort, sterilize and deliver surgical tools. The system could save lives, not to mention costs.
Some of the technologies behind the system have been used to automate manufacturing lines for many years. But their application in the surgery environment is new. “We believe that in combination with a new level of intelligence, they can help make operating rooms run more efficiently, lead to better patient outcomes, and save millions of dollars in healthcare costs,” says Lynn DeRose, a principal investigator and auto-ID expert in the Distributed Intelligent Systems Lab at GE Global Research.