This paper will explore the concept behind Ultra-Efficient data
center chilled water system design and control integration
that will see an additional 40 to 60 percent energy savings in
today's best-in-class variable-speed chilled water systems.
When performing preventive maintenance or addressing a recall on IV pumps, Deaconess Gateway Hospital personnel spent hours scouring the facility to locate the right pieces of equipment. At the same time, the hospital was purchasing an average of 12 new telemetry packs each year—at over $1,000 each—due to accidental loss of these highly mobile devices.
Read this white paper to learn more about how Deaconess Gateway Hospital is using a real-time locating platform to improve mobile equipment visibility and build a foundation for future analytics and intelligence.
Published By: Infosys
Published Date: May 21, 2018
There are several reasons for this, including the inability of healthcare institutions to constantly monitor post-operative deterioration as well as patient's inability to visit the healthcare center for post-operation followups. Most of the patient data is recorded manually. This data is often weaned from displays of multiple monitoring devices like vitals monitor, infusion pumps, and ventilators. More often than not, these devices do not talk to each other or to a central system.
Doctors, nurses, or other care-givers manually note down patient statistics in their files and notepads. Even though the healthcare industry is in the throes of digitization, there's still a lot of paper doing the rounds. eventually, the data from these physical sheets might be fed into an electronic system, but there is a high chance of error in that process.
Think of the self-service things you use in a day. Gas pumps. ATMs. Online apps for shopping. They’re convenient and easy to use. People choose what they want, when they want – without involving others in their minute-to-minute decisions. What if your organization could treat data discovery and analytics the same way?
SAS has combined two of its visual solutions to do just that. SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation. Your analytics journey just got a lot easier.
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