Calgary Scientific announced that its ResolutionMD® medical image viewing software is now approved by Rozdravnadzor, the Federal Service for Surveillance in Healthcare in the Russian Federation, for diagnosis using both web and mobile devices.
MedTech Breakthrough, an independent organization that recognizes the top companies, technologies and products in the global health and medical technology market, today announced that Calgary Scientific’s enterprise image-viewing platform ResolutionMD® has been selected as the winner of the “Best New Medical Radiology Technology” award.
Calgary Scientific announced key updates to its sales, services and marketing leadership team, which will optimize relationships with its partners and customers. The organizational changes reflect the company’s ongoing focus on ResolutionMD® software for healthcare enterprise mobile image viewing, as well as its rapid expansion into new market areas, including design and real-time 3D visualization, all powered by its PureWeb® platform technology.
Based on its recent analysis of the enterprise image viewing solutions market, Frost & Sullivan recognizes Calgary Scientific Inc. (Calgary Scientific) with the 2017 Global Frost & Sullivan Award for Product Leadership. Calgary Scientific leveraged its pioneering PureWeb® technology to develop the ResolutionMD® enterprise image viewing platform that bridges the current gap between siloed departmental imaging legacy systems and enterprise healthcare information technology systems. The solution empowers healthcare providers to transition to value-based clinical and operational practices by offering more accessible, relevant, and actionable information for comprehensive and coordinated patient care. Furthermore, the zero-footprint, web-based solution streamlines workflows for optimal process efficiencies and increases collaboration for faster decisions while reducing costs.
ResolutionMD® grants broader access to imaging and data across multi-site picture archiving and communication systems (PACS) and vendor neutral archives (VNAs) in multi-vendor environments, and it can integrate directly into the existing electronic health/medical records (EHR/EMRs) and patient portals. It also sets the stage for artificial intelligence (AI) and machine-learning (ML)-based workflows and diagnoses to help improve patient outcomes.