We often think of innovation as creating new technology, but innovation also comes in the form of new business models, new regulations, and new ways to perform a craft. Radiologists are in crossroads among a myriad of such “news,” the more comprehensively discussed among which are the reimbursement changes and regulation changes which have been discussed ad infinitum (e.g. here, here, here, and more).
Rather than discussing the impact of the new healthcare regulations on radiology and the emerging high-tech, social-media-connecting, cloud-based, deep learning, big-data-supporting, iPad-friendly, segmentation-compatible solutions , maybe it is worthwhile to take a few minute to think about innovating at a much lower level. On the level of our job description.
Photo Credit: debspoons; freedigitalphotos.net
Not long ago, the ability to create smart data visualizations, or dataviz, was a nice-to-have skill. For the most part, it benefited design- and data-minded managers who made a deliberate decision to invest in acquiring it. That’s changed. Now visual communication is a must-have skill for all managers, because more and more often, it’s the only way to make sense of the work they do.
The use of the phrase, “Artificial Intelligence” has exploded within the past few years as the theme of dozens of our most popular movies and television shows, magazines, books, and social media. This is despite the difficulty that many experts have in even defining the meaning of the term, “intelligence”, much less “artificial intelligence”.