What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
Published By: DrFirst
Published Date: Mar 13, 2015
Sebasticook Valley Health’s Emergency Department found that when it came to obtaining medication history, DrFirst’s MedHx(SM) solution provided vast improvements over the built-in feed from their integrated electronic medical records system. The hospital did a side by side comparison of MedHx(SM) and their existing feed, and determined that MedHx(SM) provided superior results, which reduced staff time spent on medication reconciliation, improved patient safety and enabled the hospital pharmacy, as well as doctors and nurses, to be more proactive in pulling medication history upon patient admission.
Big changes are coming to the healthcare industry. Nurses and doctors are retiring at a record pace, just as more women than ever are entering medical school. The shift will result in hospital workforces that will be younger and predominantly female, resulting in greater risk for conflicts between work and families. Download our eBook to learn how dependent care programs help top healthcare providers around the country avoid costly absences and support critical talent goals.
Published By: Imprivata
Published Date: Jul 09, 2014
Efficient communication and collaboration amongst physicians, nurses and other providers is critical to the coordination and delivery of patient care, especially given the increasingly mobile nature of today’s clinicians and the evolution of the accountable care organization (ACO) model. Download to learn more!
East Alabama Medical Center (EAMC) in Opelika, Alabama, is a 314-bed facility that employs 2,700, including 770 inpatient nurses. With a mission focused on providing high-quality, compassionate healthcare, the hospital celebrated its 60th anniversary in 2012. In the prior year EAMC was recognized as one of only five hospitals in Alabama named a Top Hospital for Patient Experiences by Women Certified®. This distinction joins others the hospital has won, such as being listed among the Top 100 Heart Hospitals in the U.S. and on Fortune magazine’s “100 Best Places to Work” in America.
When it came time for Southwest Vermont Medical Center (SVMC) to deploy a new barcode medication administration (BCMA) system, SVMC chose a Zebra positive patient ID system consisting of barcode printers, scanners, software tools, media and labels. Since that time, over two million medication doses have been administered. Nurses have been able to achieve an average medication scan rate of over 95% and a patient identification scan rate in excess of 99% for inpatient units. Even more impressive, these results have been sustained over a five-year period.
Dallas-based Parkland Health & Hospital implemented a Zebra technology solution to create a mobile-enabled workforce at its new state-of-the-art hospital campus. That mobile solution enabled the nursing staff to focus on what’s most important — patient care. The solution gave nurses the ability to communicate in real time, access right-now information and take the right action with that information.
Parkland’s leadership was able to track all patient activities from positive patient identification and specimen collection to laboratory specimen tracking and pharmacy medication administration. Additionally, hospital staff communication with voice and secure texting, along with patient alerts and
alarms—all help increase patient safety, care and satisfaction.
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.
Published By: BlackBerry
Published Date: Nov 08, 2008
This paper is the first in a four-part series examines the ways that wireless technology and mobile communications can enhance the efficiency and quality of institutional healthcare, improving the processes through which doctors, nurses, specialists and support staff members deliver medical treatment. Part One offers an overview of the current healthcare situation and suggests ways in which wireless technology solutions address healthcare challenges.
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats.
Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as
Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
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