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Ziosoft: Vendor-Neutral Imaging Solutions for Healthcare


As a medical imaging company aiming to deliver clinical tools for coherent diagnosis and treatment precision, Ziosoft develops sophisticated applications for physiology and disease analysis and surgical procedures. The base for the company’s cutting-edge solutions is the platform Ziostation2 which can cater to a broad expanse of clinical specialties such as neurology, cardiology, and pulmonology applications, to name a few. The DICOM compliant platform can handle ingress from multi-modalities such as CT, MRI, PET, or Nuclear Medicine scans and offers inimitable image processing power and image quality accessible via Ziosoft’s thin-client, VGR Client, or a purpose-built web-browser, VersaWeb. The thin-client is intended to be used by departments such as Radiology and Cardiology which require the most image processing power and features, whereas VersaWeb is suitable for those who would just review images in the healthcare enterprise. The vendor-neutral attribute of the platform translates to reduced cost of ownership owing to the fact that healthcare institutions don’t need to own multiple advanced visualization modalities provided by different vendors.
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Ziosoft’s comprehensive, advanced functional visualization and analysis software have benefitted physicians, patients, and healthcare specialists throughout its journey since 1998
Furthermore, Ziosoft extends a true fidelity 4D visualization and analytics called PhyZiodynamics that offers a real-time non-invasive journey through the body. Powered by one-of-a-kind imaging algorithms the platform can support applications in diagnosis, precise surgical and radiotherapy planning for a wide variety of organ targets.
Scalability, high quality, customizable and automated workflows, and superior performance define the solutions suite of Ziosoft. On that note, Ziostation2 purveys automatic preprocessing that markedly improves the efficiency of image processing workflow Ziosoft’s solutions assist in improving a healthcare facility’s overall efficiency and productivity, and the success story of a 515-bed healthcare institution corroborates this notion. The institution faced challenges with its human-intensive image processing workflow that required manual intervention throughout the process starting from acquiring images and selecting the appropriate application to loading the study and waiting for processing completion, ending with data analysis. The situation was overwhelming as the institution was scanning hundreds of patients daily. Ziosoft’s automatic pre-processing truncated the time-consuming constraints of conventional processing, and most of the routine and repetitive actions were automated entirely by Ziosation2, eliminating human intervention during image processing and curtailing study analysis wait time.
The enterprise believes both Artificial Intelligence and Robotics are in good synergy with medical imaging enveloping tremendous opportunities tied to the performance and capabilities of medical imaging. Ziosoft intends to tap on such advances to continue disrupting the future market as it plans to expand the business into the rest of Asia. They contemplate building an integrated, evidence-based approach to medical imaging that would improve the quality of patient care and the efficiency of healthcare operations.

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