Sign in Contact
Request a Demo

Clinical Surveillance

Ventilated COVID-19 Patients
June 24, 2021

Observations of High-pressure and Rapid Shallow Breathing in Mechanically Ventilated COVID-19 Patients: An Interim Assessment

by Jessica Serrao and John Zaleski

An ongoing study shows that combination smart alerts derived from medical device data can help to identify clinically actionable events.

Read More
Smart-Alerts
May 11, 2021

Smart Alert: A Harbinger of Adverse Events in Critical Care Settings

by Jessica Serrao

Contextualized surveillance smart alerts support patient safety and clinician satisfaction by helping identify emergent clinically actionable events and reducing alarm fatigue.

Read More
Patient Transport
May 6, 2021

Adverse Events Can Happen Anywhere, Anytime, Including Patient Transport

by Halley Herndon and Cathleen Olguin

Healthcare organizations efficiently harness valuable waveform data for clinical research, utilizing advanced integration technology to capture waveforms from medical devices and tailor the data to the requirements of downstream systems such as analytics applications and research databases.

Read More
Waveform Data
April 21, 2021

Efficiently Accessing Waveform Data Can Yield Stronger Clinical Research and Outcomes

by Teresa Soman, Cathleen Olguin and John Zaleski

Healthcare organizations efficiently harness valuable waveform data for clinical research, utilizing advanced integration technology to capture waveforms from medical devices and tailor the data to the requirements of downstream systems such as analytics applications and research databases.

Read More
Prevent Patient Deterioration
November 24, 2020

A Nurse’s Greatest Fear: Missing Signs of Preventable Patient Deterioration

by Cyndi Coyne, BSN, RN

Patient care requires continuous cognitive shifting and stacking to identify and prioritize clinical tasks. Processing the vast volume of information alone is stressful, then consider that shifting and stacking can potentially distract a clinician from noticing a warning sign of patient deterioration. The best result would be a slight delay in the delivery of needed care, while the worst result would be A Nurse’s Greatest Fear.

Read More
October 20, 2020

Edge Computing Part 2: Protecting Medical Devices and the Network from Cyberattack

by Christophe Dore and Robert Cohen

Edge computing allows you to create a secure “mini network” of a patient’s bedside medical devices, separate from the hospital’s main network. The edge computing device provides added security by controlling data exchange at the application level, rather than the network level.

Read More