Named as one of the best US hospitals by US News & World Report for 5 years, Indiana University Health (IU Health), Indianapolis, aims to provide a unified standard of preeminent, patient-centered care in partnership with the Indiana University School of Medicine. Strategies for attaining such a goal include the deployment of increasingly

To get the attention of Society for Imaging Informatics in Medicine (SIIM) attendees, Stamford, Conn.-based Fujifilm Medical demonstrated its latest version of Synapse PACs and Synapse RIS at the conference in Grapevine-Dallas, Texas, from June 6-9.

If imaging is to visualize its future accurately, it must do so by looking to business models outside the health-care arena, according to Dieter Enzmann, MD, chief of the department of radiology at the University of California–Los Angeles. “There are three generic models that exist in virtually every mature market,” he says. “There’s always a low

Kenneth Schwartz, MD, medical director of New York Radiology Alliance (NYRA) in Bedford Hills, describes today’s radiology-practice environment as characterized by catch-22s. “I’ve been in the business for many years, and I have never seen such a drastic change over such a short period,” he says. “The demands of customers, referring physicians, and

As radiology’s marketplace has achieved maturation, practices—more than ever—can (and should) take their cues from other industries, according to Curtis Kauffman-Pickelle, CEO of imagingBiz and a longtime consultant to radiology practices. “Radiology, as an institution, needs to look to successful models in businesses outside of medicine—the models

In the 1990s, it was easy to be a success. You had to work hard not to be a success. That’s not true any more,” according to Michael P. Recht, MD, Louis Marx professor of radiology at New York University School of Medicine and chair of the radiology department at NYU Langone Medical Center (New York, New York).

Three factors distinguish big data from the analytics that many executive leaders are familiar with: volume, velocity, and variety. In a recent article that appeared in Harvard Business Review, McAfee and Brynjolfsson1 make the distinction and open a window on how two companies are harnessing big data to make more accurate predictions, better decisions, and more precise interventions—on an accelerated timetable.

Every once in a while, a big idea floats, like a sweet vapor, across the popular consciousness, invading every corner of US life, from science to commerce to entertainment. Curr-ently, our society (and business, in particular) is smitten with big data, and to be accurate, its reach is global, even unto health care.