Analytics

The goal was to improve outcomes, reduce the recidivism rate and send inmates back into the communities with coherent care plans.

From pilotitis and digital dinosaurs to fully-actioned digital strategies, the COVID-19 pandemic has altered the adoption of digital in the UK.

While some organizations are finding success as they map coronavirus spread, public health agencies are still often relying on manual processes to gather and submit data, which is often incomplete, says former U.S. Chief Technology Officer Aneesh Chopra.

John Halamka describes how clinicians at Mayo are benefiting from machine learning-powered approaches to imaging, predictive analytics and other types of decision support – and using machine learning to mine historical data for new treatments.

In this special report, three IT experts describe technologies and strategies to boost quality improvement efforts and put patient safety at the center of the equation.

Report predicts shift away from wearables to video analytics and mobile platforms. 

Predictive analytics and natural language processing have helped the system improve readmission, utilization and quality metrics.

Dr. Ran Balicer, chief innovation officer of Israel’s Clalit Research Institute, talks using tech to catch health issues before they become serious at HIMSS20 Digital.  

Built on Google Cloud, the platform is meant to help healthcare organizations and government agencies share data and best practices about treatments and reopening strategies.

The university's COVID-19 telemedicine clinic plans to apply machine learning algorithms to data from patients' vital signs, health behavior and self-reported symptoms.