Frost & Sullivan Acclaims TOMTEC's Customer Value Enhancement through Integrated Cardiovascular Imaging Workflow Solutions

TOMTEC's offerings stand out for their value along the continuum of care, notably improving the cardiovascular workflow in risk management and therapy monitoring

MOUNTAIN VIEW, California, Nov. 28, 2016 /PRNewswire/ -- Based on its ongoing analysis of the cardiovascular imaging informatics market, Frost & Sullivan recognizes TOMTEC with the 2016 North America Frost & Sullivan Award for Customer Value Leadership. TOMTEC is emerging as a name to reckon with, especially in the US market, as it rolls out clinical automation, risk management, and therapy monitoring solutions. Its upgraded offerings serve the broader cardiovascular continuum of care by combining advanced imaging interpretation techniques with state-of-the-art workflow solutions.

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The Munich-based company has won global recognition for its leading-edge visualization tools for cardiology and radiology imaging. From an advanced applications developer, it has evolved into a vendor of powerful cardiovascular workflow and decision support solutions, including risk management and therapy monitoring, leveraging cutting-edge deep learning technology.

"In line with the current trends, TOMTEC's solution portfolio has been expanded to cover the entire gamut of cardiovascular imaging modalities, and has been re-engineered using the latest zero-footprint IT standards," said Frost & Sullivan Industry Analyst Dinesh Kumar. "Its vendor-agnostic platform aids seamless connectivity with existing hospital IT systems, thereby enabling tighter integration of stakeholders along the care pathway in facilities of all sizes, even those with complex workflow environments."

TOMTEC was among the early movers in the clinical workflow automation space. In its endeavor to present actionable clinical data, it developed deep learning algorithms that automatically extract features and train various applications, including those for clinical validations. This ensures the delivery of high-quality, validated, and user-independent results for clinical decision support and helps serve as a foundation for data mining in electronic medical records (EMR) for population health management (PHM).