Description and Goals

Manually extracting and authoring careflows (clinical therapy specifications or treatment plans) from natural language clinical practice guidelines is a labor-intensive task. At the same time, it is a task that requires repeated checks for errors and inconsistencies, since wrong or inconsistent therapy specifications may put a patient's health and life at risk.

The VeriCliG project intended to help medical staff to save time and resources by developing techniques and technologies based on computational logic and NLP semantic annotation, to fully or partially assist and automate the task of authoring and repairing careflows.

VeriCliG was a project from the KRDB Research Centre for Knowledge and Data at the Free University of Bozen-Bolzano, from Bolzano, Italy, carried out in close collabaration with the eHealth research group from the FBK-Fondazione Bruno Kessler, from Trento, Italy. It was supported by a grant from the Free University of Bozen-Bolzano Foundation (Feb 2012 - Jan 2014).

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