Data-driven radiology workflow: from science to reality

Nuclear Medicine & Radiation Therapy

ISSN: 2155-9619

Open Access

Data-driven radiology workflow: from science to reality

International Conference on Nuclear Medicine & Radiation Therapy

July 14-15, 2016 Cologne, Germany

O S Pianykh

Massachusetts General Hospital, Harvard Medical School

Posters & Accepted Abstracts: J Nucl Med Radiat Ther

Abstract :

Radiology workflow presents a complex mixture of planned events and unforeseen deviations. The old radiology management approach was to set certain expectations and hope that they would be met. Instead, we propose to use big data (readily found in radiology databases) and advanced data analysis tools to monitor all workflow events in real time, taking immediate action when necessary. Exploring large volumes of healthcare data, largely unused until now, provides us with unique opportunities to derive new logic, to optimize healthcare services, and to develop new intelligent applications. In this presentation, we will talk about our work and the problems we solve.

Biography :


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Citations: 706

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