Reflections on a Real-Time Pandemic
Real-time data without context can be either too troubling or not troubling enough, leading to panic and wrong
How the healthcare industry uses real-time analytics, including to monitor patients, save lives, and enable staff location-management in medical facilities. Predictive medicine applications are also explored.
Real-time data without context can be either too troubling or not troubling enough, leading to panic and wrong
A genomic sequencing process that once took 30 hours or more can now be completed in a few
In the news this week: not surprisingly several announcements about using AI in healthcare, plus multiple offerings that use AI with IoT systems.
Major EHRs are built on database architecture, which is almost thirty years old. When AI is integrated with the EHR records, it would help to unlock the …
Eveline was developed based on the personal experience of Eveline co-founder and CTO Carson Chen and his wife.
Continuous intelligence (CI) is enabling innovative approaches to healthcare, giving clinicians fast, more accurate diagnosis
With continuous advancement of Bluetooth Low Energy (BLE) radios and advanced machine learning techniques, there is an opportunity to realize better …
AI is unlikely to replace a human clinician anytime soon. However, it may help with synthesizing and collecting patient data.
Predictive analytics use R-T data, AI to combat sepsis, help prevent 8,000 deaths.
While all areas of healthcare delivery could be impacted positively by AI, radiology may see the quickest improvement in patient outcomes with this