Siemens Healthineers introduces Syngo Carbon – a new software environment for enterprise wide image reading and reporting

2020-11-19
Syngo Carbon
Siemens Healthineers introduces Syngo Carbon - the new software environment for enterprise wide image reading and reporting

• Improved interdisciplinary sharing of images and reports
• Flexible, modular IT infrastructure
• Integrated AI tools and automation help improve efficiency
• Structured report data facilitates - among others - use of treatment guidelines

With Syngo Carbon1, Siemens Healthineers assures easy access to all of the relevant patient data generated in diagnostic processes and is not limited to imaging. Data from different departments is drawn out from various silos and integrated as part of a unified environment, including diagnostics and assessment, simplifying workflows, and making it easier for different areas to work together. “Our day-to-day clinical environment is highly fragmented,” comments Scott Sinclair, Business Manager for Digital Health at Siemens Healthineers GB&I. “We face a demand to have clinical images and datasets comprehensively prepared and enhanced using AI, and to ensure knowledge can be shared. Many clinical departments have their own systems for image management, archiving, and reporting findings. This means reports can differ greatly, and the data isn’t always universally available. Syngo Carbon offers our customers a modular, multi-departmental solution that can both manage and represent all kinds of imaging and report data in a patient-centred form. Structured data is automatically generated and made available via standardised interfaces such as FHIR (Fast Healthcare Interoperability Resources). The seamless transmission of measurements in clinical images also speeds up and simplifies the diagnostic reporting process. Thanks to Syngo Carbon, reports that previously only existed as free text are made available to all departments in a quantified form suitable for automated processing, e.g. for the application of treatment guidelines. All this ensures greater diagnostic safety, less redundancy, and more efficiency in our day-to-day clinical activities.”

Syngo Carbon protects existing investments by integrating and continuing to use existing technologies and data. It also incorporates existing Syngo solutions conveniently and seamlessly. Its data sharing concept through our teamplay platform is another key aspect in making it possible to incorporate third-party solutions. Integrated AI tools help with the efficient performance of image-based diagnostics. Unlike a traditional Picture Archiving and Communication System (PACS), the focus, in this case, extends beyond only DICOM-based medical images. Syngo Carbon works with all image-related data of relevance for diagnostics and decision-making. Examples include images and results from pathology, endoscopy, and cardiology, and information generated as part of a longer process, e.g. camera images from surgery to document the condition of a wound.

Syngo Carbon is the starting point for a new era in digitally connected diagnostic imaging, which combines existing technologies and new developments to form a unified solution. It is highly customisable to departmental workflows. Thanks to its standards based architecture, it can adapt to constantly changing technological expectations and is fully scalable.

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