Introduced by Siemens Healthineers, the Syngo Carbon software looks to achieve improved interdisciplinary sharing of images and reports while integrating AI tools and automation for increased efficiency.
Siemens Healthineers assures easy access to all relevant data generated in the processes of imaging and reporting. 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,” said Christian Zapf, Head of the Syngo Business Line at Siemens Healthineers.
“But 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 drawing up findings. That 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-centered form. Structured data is automatically generated and made available via standardized interfaces such as FHIR (Fast Healthcare Interoperability Resources). The seamless transmission of measurements in clinical images also speeds up and simplifies the diagnostic process. Thanks to Syngo Carbon, reports that previously only existed as free text are made available to all departments in quantified form suitable for automated processing, for example the application of treatment guidelines. All this ensures greater diagnostic safety, less redundancy, and more efficiency in our day-to-day clinical activities.” He added.
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 open data concept is another key aspect in making it possible to incorporate third-party solutions, enabling data management and archiving systems from various departments within a hospital to be combined and consolidated. 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 from pathology, endoscopy, and cardiology, and information generated as part of a longer process, for example camera images from surgery to document the condition of a wound.
Syngo Carbon is the starting point for a new type of company-wide system for imaging and reporting, which combines existing technologies to form a unified solution. Refinements are made in close collaboration with users. Thanks to its open architecture, it can adapt to constantly changing conditions, modules and functions can be expanded, and the system can be scaled to suit customer needs. [APBN]