Roughly 48 percent of healthcare organizations currently use clinical intelligence solutions, but most healthcare organizations predict broad usage of artificial intelligence won’t happen for another two to five years, according to a HIMSS Analytics 2017...
Paul Chang, M.D., of the University of Chicago Medical Center argues that imaging informatics needs to embrace human-machine cybernetic collaborative workflow orchestration to improve both quality and efficiency.
The Seattle-based Swedish Cancer Institute and precision medicine company GNS Healthcare have announced a machine learning collaboration with the aim to strengthen, accelerate, and potentially expand the delivery of precision medicine in breast cancer care.
At New York City-based NYU Langone Health, healthcare senior executive leaders are leveraging technologies like intelligent automation and machine learning to improve care quality and operational efficiency while also striving to enhance the patient experience.
In order to address transformative issues in the healthcare industry, healthcare provider organizations and payers need to be agile, need to drive disruption utilizing technology, and need to be more analytically-driven organizations.