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HIMSS Analytics found health facilities more prepared for the distributed ledger tech than many might think, but that doesn’t mean they’re making forward progress just yet.

The UK's Academy of Medical Sciences has published a report outlining a set of principles to guide the development, evaluation and use of data-driven technologies in healthcare, through a project partly funded by a grant from the Department of Business, Energy and Industrial Strategy.

In the book Affordable Excellence: The Singapore Healthcare System by William A.

Its Elastic Inference and SageMaker platforms provide health systems with scalable and powerful ways to process large datasets, while the new Comprehend Medical tool delves into unstructured data.

Eighty percent of users say the technology saves them time, and three out of four believe it has reduced errors.

KLAS sized up 10 vendors and found that the technologies are maturing and improving clinician’s workflow.

In this podcast, we speak with Harvard professor and Cyft CEO Len D'Avolio about the wide gap between artificial intelligence in real-world healthcare, and how it's often depicted in sci-fi illustrations.

A recent article from China Daily stated that IT investment in the country’s hospital system will reach 65.

Cedar View Rehabilitation also has seen a 6 percent decrease in readmissions because it has been able to coordinate care better with external providers.

The most advanced machine learning algorithms won't get health systems where they want to go unless the data fueling them is high-test.