The advent of true artificial intelligence in healthcare may still be some way off, but strong interest in achieving the goals of AI is producing a significant surge of investment in advanced machine learning, predictive analytics, and cognitive computing.
Big data analytics and the implementation of clinical decision support guidelines can help hospitals and health systems reduce unnecessary blood use and associated spending, according to a pair of new studies released this week.
Extracting actionable insights from big data analytics – and perhaps especially healthcare big data analytics – is one of the most complex challenges that organizations can face in the modern technological world.
From claims to electronic health records to input from the Internet of Things, healthcare organizations have a whole lot of data on their hands. Big data has become one of the industry’s most precious business assets, but it can often be difficult to know which of these data types are most valuabl
Big data analytics is turning out to be one of the toughest undertakings in recent memory for the healthcare industry. Providers who have barely come to grips with putting data into their electronic health records (EHR) are now being asked to pull actionable insights out of them – and apply those
Mergers, acquisitions, and new partnerships can be a scary prospect for healthcare organizations, no matter which side of the negotiating table they are occupying. In addition to potential cultural changes, staffing adjustments, and new workflows to adopt, organizations joining forces in the era of
More than half of health payer and healthcare provider executives believe that predictive analytics will save their organizations 15 percent or more of their total budget over the next five years, according to survey findings from the Society of Actuaries.
Mental healthcare is one of the most complex fields of clinical study, requiring providers to blend the regulation of physiological functions with the delicate nuances of psychological and emotional distress.