When images from multiple facilities are combined into a single system, the result is a cacophony of data. Procedure names and titles, series descriptions, patient name formats, DICOM attributes—these and other data elements are never consistent from one system to another. Yet, radiologists need to interpret incoming images, including accurately-retrieved priors, with great efficiency, without confusion or bottlenecks. For multi-site imaging centers, teleradiologists or any practice that performs distributed reads, eRAD’s Global Worklist is the solution.
eRAD delivers tools that resolve the complexity of reading from disparate systems. Using eRAD, a radiologist traveling to various sites can login to a single system from anywhere to report on any study, using any device. For example, a radiologist who has privileges at multiple hospitals, or a specialist affiliated with an imaging center group, can sit in one location; see a worklist of only STAT studies; pull relevant, accurate priors from any third-party system; read using integrated speech recognition; report on any study without having to learn multiple PACS; and share those reports (including key images) with patients and/or remote referring physicians.
A smooth, elegant workflow can be tailored for each radiologist; they get what they need when they need it—without complexity.
eRAD’s cloud-based infrastructure makes these capabilities transparent to the end user. With a single login and no workarounds, radiologists stay at cruising speed. A simple-to-use rules engine routes studies by role, procedure, location, body part or any validator, no matter how the data was entered. Fault tolerance is built-in: local reads stay local, and when remote reading is required, any spotty or broken connections are managed via encrypted, persistent sends. eRAD performs data coercion to ensure that priors are accurate—no more guessing at the right format for a procedure name—even while leaving that study legible in the native system.
eRAD’s granular sophistication behind the scenes gives you one, coherent site for distributed reading and reporting, so you can focus on patient care and collaboration instead of wrestling technology. The gains in time, money and accuracy help drive referral patterns. It’s a sustainable way to grow your business.