New Jersey's Newton Medical Center taps predictive data analytics to monitor patient safety

PeraHealth's Rothman Index predicts when a patient's health may be declining
By Bernie Monegain
11:37 AM

New Jersey's Newton Medical Center, part of Altantic Health System, has implemented an early warning system to alert caregivers when a patient's health may be declining.

The predictive analytics platform, developed by Charlotte, N.C.-based PeraHealth, is powered by the Rothman Index.

The Rothman Index provides an extra level of support for critical care doctors and nurses who use the graphically displayed 0-100 score to detect patient problems.

The technology is being applied for inpatient cases throughout the 148-bed medical center.

"By the time a patient's vital signs reflect deterioration it may be too late for clinicians to intervene and prevent it," PeraHealth CEO Stephanie Alexander, explained in a statement. "Integrating nursing assessments with vitals and lab data into a single score provides a full picture of patient condition proven to help clinicians intervene early enough to make a difference."

Clinicians use PeraHealth technology to remotely monitor patients across multiple care settings, help determine when to discharge patients, prioritize patient bedside visits, nursing assignments and improve documentation accuracy and timeliness.

[Also: Case study: Children's Hospital of Pittsburgh develops customized prediction indicator for children with PeraHealth]

It is also employed to maximize capacity management, such as bed management; achieve ICU optimization; and to identify opportunities for palliative care consults.

"The Rothman Index' easy-to-view indicators will allow our nurses and doctors to more quickly assess the progress of a patient's healing and adjust care sooner," Denise Fochesto, chief nursing and operations officer for Newton Medical Center, said in a statement. "This is going to help us stay one step ahead in keeping our patients healthy."

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