Effective and timely delivery of cardiac arrest interventions during in-hospital cardiac arrest resuscitation is associated with greater survival. This study, published in JMIR MHealth and UHealth in 2020, shows how using the Redivus Code Blue mobile app improved adherence to ACLS guidelines in cardiac arrest simulations.

HaysMed tertiary care hospital relies on the Redivus Code Blue mobile app to accurately document cardiac arrest cases in real time and sync that info to the patient record in the EMR. The code team reports that using the app saves time, boosts confidence and improves patient care.

This published study conducted in 2018 tested how a group of internal medicine residents performed in cardiac arrest simulations both with and without the Redivus Code Blue app. Results showed 22% more correct interventions and 66% fewer mistakes and errors using the app in simulations.

Research shows that clinical staff members make errors in 30 percent of in-hospital cardiac arrest cases. This 2019 white paper reviews the factors that contribute to suboptimal care and cites how clinical decision apps, used in real time at the point of care, can give patients the best chance to survive.

From 2017 to 2018, Sheridan County Hospital significantly improved sepsis care by using the Redivus digital sepsis management tool to increase provider efficiency and improve diagnostic accuracy. SCH noticed immediate benefits in quality of care, patient outcomes and revenue.

Saint Luke's Health System uses the Redivus clinical decision support platform to identify transfer patients with sepsis. In one month during 2018, Redivus helped the health system diagnose 150% more sepsis patients, decrease mortality by 30%, and increase hospital reimbursement by $70,000.

In 2016, the Redivus Health Code Blue prototype app was tested via simulated cardiac arrest events with multidisciplinary teams of health care professionals. The Redivus app was associated with a statistically significant improvement in adherence to AHA guidelines for treating cardiac arrest.

This quality improvement study evaluated the effectiveness of identifying sepsis using Redivus Sepsis software vs. traditional SIRS criteria. Comparing patient charts from 2015 and 2016, the use of Redivus was associated with a significantly higher percentage of sepsis diagnoses at the time of admission.