May 11, 2023
How high-fidelity data could drive better predictive care and research insights
by Jennifer Rist
High-quality data gives medical researchers and clinicians the level of detail they need to better be able to study the efficacy of treatments and identify patterns and trends in healthcare outcomes.
January 12, 2023
Taming the trouble from too much noise
by Jennifer Rist and Youssef Abou-Hawili
Non-actionable and clinically insignificant medical device alarms negatively impact patients, their families and the clinical staff. Analyze patient data to reveal the root causes of nuisance alarms.
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.