COVID-19 has acted as catalyst for remote monitoring and intervention. Innovative telehealth and TeleICU systems that incorporate AI can help healthcare services scale to address the vast need resulting from rapid disease spread and sustained transmission, while improving triage and early intervention, thus saving lives and reducing the impact of this pandemic.
As Covid-19 spreads, healthcare resources — especially in ICUs will be pressured. Limited resources will need to be strategically leveraged/managed, and AI/predictive analytics may hold the key.
WakeMed Hospital in Raleigh is one only two hospitals in the country testing a new technology which could help predict patient crises in the intensive care unit.
Deployable from the bedside to a centralized command and control facility, CLEW uses artificial intelligence to improve the outcomes and safety of critically ill patients in TeleICU and Critical Care settings
The coming of age for big data and artificial intelligence in the ICU
Using big data analytics, CLEW implements its AI predictive analytics platform to provide clinical, operational, and financial benefits to all layers of tele-ICU management and staff
A big data, machine learning-based system could analyze patient profiles who have suffered from sepsis and build a profile that would show the specific data readings for each data point, alone and as they interact with other data points.
Partnership for its clinical trials in the eICU to detect patient deterioration in real time
An Israeli venture capitalist’s personal tragedy brought him to a startup seeking to provide immediate health updates for fragile patients
AI has been the buzzword of 2017, with the technology increasingly used to bring predictive analysis to marketing applications.
Harnessing AI technologies to help ICUs cut down on treatment time and cost.
Uses a range of ICU data, predictive modeling and machine learning to provide predictions of patient deterioration, which could potentially help care staff prevent complications.