Masimo and Cleveland Clinic announced the launch of a new partnership centered around hospital-based remote patient monitoring (RPM), including TeleCritical Care. This will include the integration of Cleveland Clinic?s critical care (eHospital) and non-critical care (eCMU) central patient monitoring platforms with the Masimo Hospital Automation? platform.

The goal is to provide tools for clinicians that offer enhanced situational awareness and clinical decision-support for hospitalized patients, including the critically ill. Cleveland Clinic?s existing critical care and non-critical care central monitoring platform provides continuous monitoring of a range of vital signs, including ECG, for both ICU and non-ICU patients at more than a 2,000-bed capacity. Its hospital-based RPM programs serve 11 hospitals, providing intensivist monitoring, 24/7 critical care nursing, and patient management.

Cleveland Clinic?s programs1 have reduced patient mortality and reduced ICU length of stay while increasing caregiver satisfaction. With this partnership, Masimo and Cleveland Clinic hope to bring these innovations and patient benefits to other healthcare systems in the future. The aim of the enhanced program is to increase awareness and facilitate triage with proactive responses to changes in a patient?s condition.

This improves patient care and saves lives by ensuring the highest risk patients are identified and receive timely treatment while maintaining quality of care for all patients. These decision-support tools are integrated into the Masimo Hospital Automation platform and utilize the Halo engine, technology which identifies deterioration patterns in multiple physiological parameters simultaneously, in real time. The Halo tools include Halo ION®, a comprehensive, scalable, and customizable continuous early warning score to help streamline patient assessment and clinical workflows.

As part of their work together, Masimo and Cleveland Clinic are partnering to jointly develop an additional Halo-based decision-support tool to support clinicians with earlier detection of adverse events ? ultimately helping them manage and improve patient outcomes more effectively, for low-, mid-, and high-acuity patients.