According to IBM, the world creates 2.5 quintillion bytes of data daily. A large chunk of this data is healthcare information. Medical data continues to expand whether from genomic testing and large imaging studies, to billions of payment transactions. All of this data represents a strong match for advanced systems analysis.
At a certain point, we’ve all got to go home. Whether it’s the end of the shift when the factory whistle blows and the assembly line stops rolling for a brief period while new people take our place, or late in the day after the last patient has been seen and our notes are all written and our portal messages have all been answered, we all want to go home, the day is done. Or is it? In health care, especially, things don’t always follow the clock.
High costs are forcing consumers to think long and hard about where they want to go when the need to see a healthcare provider, according to data newly released by Loyale Healthcare—which dovetails with the growing availability (and popularity) of urgent care.
Radiation dose management is central to child patient safety. Medical imaging plays an increasing role in the accurate diagnosis and treatment of numerous medical conditions. The speed, accuracy and noninvasiveness of medical imaging have also contributed to a sharp increase in the number of imaging procedures.
Demand for ultrasound scans at U.S. outpatient centers could grow by double digits over the next five years, according to a speaker at AHRA 2019. A variety of factors, however, could cause projections for this and other modalities to change.
Konica Minolta Healthcare Americas, Inc., a provider of medical imaging systems and healthcare IT, along with Shimadzu Medical Systems USA announced a collaborative agreement that will accelerate the commercialization of Dynamic Digital Radiography (DDR) in the US healthcare market. Konica Minolta, Inc. and Shimadzu Corporation collaborated on the development of DDR incorporating Konica Minolta’s new advanced image processing and Shimadzu’s RADspeed Pro radiographic imaging system.
Artificial intelligence (AI) can lighten radiologists’ clinical burden, streamline care and ultimately save hospitals money, experts said during a recent AHA Physician Alliance webinar.