The health care analytics and workflow software package known as the Juvo Care Performance Platform was launched by Midas+, a Xerox company, to collect and analyze volumes of patient-care data and deliver detailed recommendations for better health care.
Through this next generation of software and applications, Juvo maintains and processes data to analyze every aspect of the clinical cycle of care.
This cycle includes tracking patients’ individual cases from admission to discharge, managing insurance reimbursements, monitoring the quality of care through physician activities and health outcomes, controlling diseases and infections and managing regulatory compliance.
Juvo also predicts patient and financial outcomes–delivering real-time information and alerts to help health care providers better manage patient safety, operational performance and quality ratings that are monitored by regulatory agencies.
Further reading
As the health care system shifts to pay-for-performance models, health care providers face increasing pressure to drive quality outcomes for patients at a reduced cost, Justin Lanning, senior vice president and a managing director of health care provider solutions at Xerox, told eWEEK.
"Analytics simplify the process of identifying and addressing care and operational inefficiencies and tracking progress. Given the complexity of health care processes and the massive amounts of data collected in between, it is nearly impossible for anyone to consider all the factors that influence health and business outcomes," Lanning said. "Software programs, however, can be designed to consider multiple factors simultaneously and analyze relationships between processes and outcomes in hundreds, if not thousands, of combinations."
He explained that by actively monitoring data through advanced analytics, health care providers are able to make more informed medical decisions and improve patient care–ultimately helping people get better and stay better–while also meeting operational goals.
The platform currently processes real-time, patient care-related data from more than 1,900 hospitals, along with data from national claims and continuity-of-care documents (CCDs) used in transferring patients’ medical information electronically between hospitals. Juvo workflow apps provide data visualization through interactive dashboards that are configured to the role of hospital staff to deliver alerts and information relevant to their position.
The apps are developed using the research of Xerox ethnographers who observe and analyze customer work practices and needs.
For example, the Digital Assistant mobile app was developed after Xerox ethnographers tracked nurses’ work habits and found that only 30 percent of their day is dedicated to patient care, while 70 percent is consumed by administrative duties such as searching for patient records and transferring paper notes to electronic records.
Digital Assistant enables nurses to update patients’ information on a mobile device and displays past, current and planned actions for a patient in real time to maximize efficiency.
The Juvo platform also offers an app that gives C-suite executives access to real-time, trending and comparative insights on their hospital’s performance.
Lanning said Juvo’s mobile applications are designed to run on the iOS operating system, as mobile devices have become an increasingly important tool for ensuring patient safety and maximizing efficiency.
"More than just data capture, apps such as our Digital Assistant analyze data and deliver meaningful information via intuitive dashboards to guide clinicians in their decisions and processes throughout their day," he said. "Giving clinicians access to real-time care and work recommendations at their fingertips, away from the workstations, enables delivery of superior care."
In terms of where Midas is going next, the company is collaborating with researchers at PARC, another Xerox subsidiary, to move beyond manual data input in mobile solutions by incorporating voice-activated technology to further simplify the transfer and processing of data for patient care.
Research Assistant
