Analytics

Real-world evidence drawn from unstructured clinical notes was more accurate in algorithmic prediction of coronary artery disease than structured data, a new study in JAMIA shows.

Genomic medicine researchers at the laboratory have been using artificial intelligence, developed as part of Microsoft's Project Hanover, to help manage the vast amount of research data needed to power its precision oncology initiatives.

The leading-edge technology could provide vastly faster power and processing speeds, and enable fundamentally different algorithmic search and data homogenization strategies.

Dr. Adrian Zai, director of research at Partners HealthCare, says providers need to align resources and optimize technology around workflows, not the other way around.

Data experts at a Kent NHS trust at the heart of the NHS digital revolution have signed up at least 30 NHS trusts for their award-winning solutions to improve patient care. 

The edge computing technology's neural network algorithms can help drive workflow efficiency, detect gaps in care and deliver real-time intelligent notifications to staff, the AI developers say.

A new report from EY shows how health systems need to embrace AI, social, mobile, analytics, cloud and sensor technologies to unlock the potential of their data.

The decision support tool brings holistic data to the clinical team via predictive analytic modeling, while also automating all the data points to help clinicians make optimal interventions.

Officially announced at the HIMSS AsiaPac Awards last week during the HIMSS AsiaPac 19 conference, Princ Paknampo Hospital made history by becoming the first hospital in Thailand to achieve the HIMSS Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 validation.

Many health systems are living with feet in both worlds, but diverse incentives will eventually force a reckoning, says Health Catalyst's Holly Rimmasch.