Analytics

Data integrity and model validity are also must-haves, says an expert, who offers his ideas on a "clean data" mentality and explains why explicit consent is essential for training algorithms.

Artificial intelligence has changed the threat landscape, enabling new cybersecurity risks for health systems: more sophisticated social engineering, automated vulnerability intelligence gathering, endpoint detection evasion and more.

Researchers from Regenstrief Institute and Indiana University developed three new natural language processing algorithms to extract housing, financial and employment data.

It also helped the hospital gain around $1.8 million in productivity.

Based on OpenAI, it will enable healthcare professionals to automate tasks and generate insights.

The agency is working on several value-based healthcare initiatives to improve patient outcomes.  

The project will "bring machine learning to data" while protecting privacy and integrity.

Deploying the model with EHR data could help address cancer patient navigator burnout. The process could be scaled to serve all oncology patients in need, a retrospective simulation study showed.

Discover what the journey to becoming a Smart Hospital looks like.