Imagine this scenario: At 2 a.m., a community hospital receives a patient with a head injury related to a motor vehicle accident. The hospital performs a CT scan on the patient, but does not have a neuroradiologist available and needs specialty advice. Following the potential patient transfer protocol, the ED physician at the community hospital places a call to a tertiary care facility’s patient transport center and reaches a transport nurse.
Collaboration is a key driver of positive change in healthcare. When data and images flow smoothly across departments and specialties, it creates a more holistic view of the patient’s condition. However, collaboration isn’t always easy. Legacy systems and department-specific tools generate data that is hard for others to access, expensive to store and retrieve, and frequently force care providers to find workarounds.
Medical imaging is one of the most costly components of patient care. Data from the American College of Radiology indicates that diagnostic imaging accounts for 10 percent ($100 billion) of total annual healthcare costs¹. At least part of these staggering costs can be attributed to the fact that so many exams simply shouldn’t have to happen. In fact, researchers at the Brigham and Women’s Hospital
in Boston, MA, have estimated that a significant amount of studies—nearly 9 percent—are unnecessary or redundant².
As an ophthalmologist with a passion for health IT, P. Lloyd Hildebrand, MD, FACS, has thought a lot about the use of artificial intelligence in clinical practice. So as he and his colleague, H. Jay Wisnicki, MD, delivered a talk on the subject earlier this month at AAO 2017, Hildebrand was fairly certain that he could predict what his audience’s biggest question would be.
“It’s usually something like, ‘Are machines going to replace us?’ And my answer is always the same,” says Hildebrand, professor emeritus in the Department of Ophthalmology at the University of Oklahoma. “This technology isn’t going to take away our jobs, it’s going to empower us and our profession. It’s going to make us better physicians, and it’s going to allow for better healthcare.”
The following is the third installment of a four-part blog series on vendor neutral archives (VNAs). If you missed the earlier installments, click on the links for Post 1
and Post 2.
It’s safe to say that Electronic Health Record (EHR) adoption has happened in the U.S. The trend started long ago and accelerated thanks in part to the HITECH Act
and ‘meaningful use.’ And while we may not all agree on why
it happened or what fueled it, EHR adoption levels in the U.S. are quite high and continue to grow globally as well.