Analytics

Those are just two areas that will be crucial for health systems adapting to the coronavirus crisis going forward, according to a new study from Johns Hopkins Center for Health Security.

In a recent HIMSS webinar, Dr Chun-Wen Chang (Infectious Disease Specialist, Chang Gung Memorial Hospital Taiwan) reveals the steps the country has taken that has allowed it to successfully mitigate the spread of COVID-19.

In a HIMSS20 Digital presentation, leaders from Google Cloud, Nuance and the Health Data Analytics Institute offer their perspectives on how AI-powered insights and automation are helping health systems push forward.

Health Catalyst's Capacity Planning Tool forecasts when hospitals will hit their limit on beds, ventilators, personal protective equipment and staffing.

Hospital revenues fell 13% in March due to COVID-19, according to the company's flash report.

As pressure mounts to return employees back to the workplace, even as COVID-19 continues to spread, healthcare organizations need to implement data-driven guidelines and testing processes to help ensure safety.

The vendor's new initiative aims to "bring the wealth of medical knowledge available in EHR data directly to researchers, healthcare professionals and learners."

A new report, co-authored by former National Coordinator Farzard Mostashari, offers a roadmap toward the data exchange infrastructure needed to help contain the coronavirus pandemic.

A continuous cardiorespiratory monitor uses a much larger data set for an analysis of risk for a subacute, potentially catastrophic, illness.

Deep Dive: Health systems are leveraging advanced technologies such as AI, analytics and telehealth to manage patient populations while staying focused on the basic building blocks of health and wellness.