ABC: A knowledge Based Collaborative framework for e-health

In the age of Big Data, which is clearly affecting also the Healthcare sector, one of the most valuable challenge is the one connected with the information extraction from raw data that implies the automatic detection of significant facts in unstructured texts and their transformation into structured documents, which are indexable and queryable exactly like databases. The volume, variety, velocity, verification and value of data raise the necessity of managing information with the most sophisticated linguistic and computational architectures, which are able to approach the semantic dimension of words and sentences. The present paper introduces ABC, A knowledge Based Collaborative framework that consists in a double-faced system aiming to support clinical processes in a more effective way (diagnostics and therapy). All the ABC's area of intervention (improving security from clinical risk, enhancing services' quality/results and perfecting the effects of the spending management) help to make hospitals more compliant with national and international laws and observant of many standards. ABC is intended as way to perform auto-diagnoses of the safety and the quality in hospitals, so the medical staff is always prepared to successfully overcome authorities' inspections; it must not be viewed as a supervisory control instrument. Moreover, ABC guarantees protection from every illegal use of sensitive data regarding patients and health users.