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In order to reliably and optimally capture, index, manage, store, distribute, view, exchange, and analyse all clinical imaging and multimedia content to improve the electronic health record, a healthcare company must execute a set of strategies, initiatives, and workflows.
The Enterprise Imaging Workgroup members explain the concepts of enterprise imaging in a number of papers. Company imaging was previously used to describe extending access to radiological pictures across an enterprise, therefore its use in this context is relatively new.
Visible light imaging and additional modalities outside of radiology and cardiology have been proposed to be included in PACS since its relatively early development.
“A set of strategies, initiatives, and workflows implemented across a healthcare enterprise to consistently and optimally capture, index, manage, store, distribute, view, exchange, and analyse all clinical imaging systems and multimedia content to enhance the electronic health record” is the most widely used definition of enterprise imaging.
The Global Enterprise Imaging System market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Sectra’s enterprise imaging portfolio, one can reduce costs while improving patient outcomes thanks to a unified strategy for all your imaging requirements.
Collaborate and exchange information on medical multimedia across the entire organisation and beyond. You can read 2D mammograms, digital breast tomosynthesis, ultrasound, MRI tests, or even bring up digital pathology images at your tumour board meeting from a single workstation with a full breast imaging system.
It provides you with all the resources necessary for advanced diagnostic breast imaging workflows and high-volume mammography screening. You may focus on your work-ups without losing time waiting for images or information when you have a system that offers the greatest reader experience and streamlines the mammography workflow.
Diagnostic imaging has a lot of room for improvement in terms of performance and productivity thanks to artificial intelligence (AI). AI is being more widely used in healthcare settings as it transcends the hype. AI will continue to be used in medical imaging. Whether used in cardiology, pathology, radiology, or any other diagnostic field, AI should increase end users’ accuracy and productivity.
