Analytics

When technology neglects the needs of nurses, it can cause more problems than solutions, says chief nursing informatics officer at Frimley Health NHS Foundation Trust Kevin Percival.

The index uses machine learning-based similarity modeling and a data visualization tool to help compare and benchmark more than 2,000 acute care hospitals in the U.S.

Researchers at IU and Regenstrief received a 5-year grant to develop a population-based surveillance system using state EHR data; they hope to support population health studies at the national level.

The precision medicine initiative will use real-world data from the Learning Health Network for clinical validation and refinement of cancer risk prediction models.

Only three to four in 10 leaders are able to harness data and use AI and predictive analytics.

What do providers need to do better to protect against cyberattacks? A former healthcare CISO, now leading security strategies at Google Cloud, gives some advice.

Once validated, machine learning-based labor risk scores could be used in clinical practice to monitor labor in real time and improve maternal care, new Mayo Clinic research shows.

The two-stage study compared app-based smartphone with conventional screening and found digital exams superior at detecting atrial fibrillation.

Care, data and connectivity as well as what Indonesia can learn from other nations to advance digital transformation in healthcare will be major themes at the HIMSS22 Asia-Pacific Conference happening from 26-29 September in Bali, Indonesia.

The power of technology can present insights to users "on a silver platter," says VisiQuate Founder and CEO Brian Robertson.