Analytics
The hospital has outstripped its physical footprint, so analytics for patient placement has become critical while it awaits new buildings.
RadNet and vRad have deployed natural language processing tools to help them tackle over-utilization and help perform tasks that are challenging for humans.
While 98 percent of those surveyed said interoperability was "highly" or "extremely" important, only 33 percent said their facility was capable of it.
While nearly half of clinical trials lack the participation to succeed, the hospital is deploying artificial intelligence to identify candidates and, in so doing, protect its investment.
The administration's plan could inhibit progress on improving interoperability, eradicating info blocking, and medical research but also funds cybersecurity and the VA's EHR modernization.
In addition to focusing on value-based care, quality improvement and revenue cycle, the company will be highlighting its work with the newly-acquired Advisory Board Company.
Don't get lost in the complexity of large-scale use cases. Instead, shift your IT strategy, keep a narrow scope, and provide a framework to evaluate tools and then apply them.
Chris Mitchell, a business intelligence developer at the University of Virginia Medical Center, will explore the topic in-depth during the HIMSS18 conference in Las Vegas in March.
Ruben Amarasingham, MD, the startup's CEO, will also present at the HIMSS Machine Learning & AI for Healthcare conference on clinical augmentation for artificial intelligence.
By examining data on care variation and outcomes, the health system was able to reduce the length of stay for cardiovascular care, saving money.