Analytics

As regulatory oversight for predictive decision support evolves, certain best practices can help health systems get the most from machine learning-powered CDS models.

Artificial intelligence will also continue to be a big focus, as it becomes more clear which startups are succeeding in their initial target sectors. VCs are also eyeing genomics analytics tools, as well as other more practical technologies.

The five principles all stem from the basic viewpoint that AI-enabled solutions should complement and benefit customers, patients, and society as a whole.

As she leaves the agency after three years, Siddiqui touts data-driven accomplishments such as AI, data privacy, opioid response and work with states on social determinants of health.

Its new analytics project will apply AI to deidentified data from across Mayo and other health systems, and comb scientific literature to gain insights into new medical advances.

“This is a big step forward in personalizing cancer treatment and ensuring better patient outcomes,” said Professor Lim Chwee Teck, Mechanobiology Institute, NUS Biomedical Engineering.

At HIMSS20, its Chief Health Information Officer will show how the health system is simplifying AI models so care managers can better understand them – and be more likely to use them.

Five health IT experts from patient experience and patient engagement IT vendor GetWellNetwork open up about what they are seeing as important trends this year.

And that's costing the U.S. healthcare system in a big way, even in the era of value-based care, according to a new survey from Black Book.