From the January 2017 issue of HealthCare Business News magazine
A University of Michigan
study surveyed 1,976 radiology patients regarding their perceptions of radiology and radiology results. The researchers showed that many patients hoped for more face time with a radiologist to gain a better understanding of their results.
On the other end, radiologists must also
get friendly with referring physicians, who may present negative feedback if their patient cannot get a study scheduled in time, the report is not available in a timely fashion, or if the physician isn’t notified about changes in reports.
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As software takes over a lot of the traditional time-suck responsibilities of radiologists, it will become increasingly important for them to act as engaging and articulate liaisons between imaging exams, patients and a care team that extends beyond their facility.
Beyond imaging lies informatics
For years, the question "how can we make this data sing?" has summarized a software conundrum: a billion terabytes of information is useless without a system to organize it.
At RSNA we saw convincing indications that data is truly finding its voice, and in some cases it sounds a lot like artificial intelligence. Perhaps more than any other exhibitors,
Merge and IBM Watson showed attendees that when big data is combined with machine learning, some exciting new doors open up. But a handful of other companies, including
Sectra and
Novarad unveiled their own application platforms driven by artificial intelligence.
Through its partnership with Zebra, Carestream showed it can incorporate artificial intelligence protocols into its Unified Core architecture, and — based on a patient’s bone structure and calcification — determine if they’re at risk for osteoporosis.
The major imaging OEMs also showed off huge strides into cognitive technology. Whether it was Philips with Illumeo or GE Healthcare with the Integrated Relevant Clinical Content (IRCC) development for its Universal Viewer, a recurring message was that smart software can work wonders to bring relevant information to the surface and take some of the tediousness out of image interpretation.
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