Healthcare professionals, in their daily routine, make use of multiple sources of data. To arrive to a diagnosis and decide on patient management, they rely on a combination of several types and sources of data: imaging (e.g., Radiology, Pathology, Ophthalmology), time series (e.g., electrocardiograms — ECG), structured clinical data (e.g., vital signs, lab results) and non-structured data (e.g., clinical notes).

Considering the level of expertise required to understand in depth one single data type, it is close to impossible for a single healthcare professional to master all areas. A radiologist has specialized training to read radiological images, but doesn’t know…

Marcio A. B. C. Rockenbach

M.D. Radiologist | Data Scientist | Product Manager at the Center for Clinical Data Science (CCDS), in Boston, USA

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