BIG4H

Overview:

The aim of "Big Data for e-Health applications" (Big4H) project concerns the industrialization and technological enhancement of a CLINSIC research prototype for the "semantic" management (extraction, indexing and search) of information from medical records. 

Description

The aim of "Big Data for e-Health applications" (Big4H) project concerns the industrialization and technological enhancement of a CLINSIC research prototype for the "semantic" management (extraction, indexing and search) of information from medical records. In particular, the functionalities of the prototype will be on the one hand engineered using the most modern information technologies and, on the other, extended with the aim of "integrating" within it other types of information coming from various sources of Big Data (e.g. administrative data, social data, data of the territory, etc. that can be cross-referenced with the data present in a medical record). It will therefore be possible to "feed" a real Knowledge Base for the different healthcare facilities (hospitals, clinics, health companies, etc..) in which the information, represented in the form of Linked Open Data, may eventually be "open" to the outside (e.g. citizen) and also linked to ontologies, vocabularies, and taxonomies (diseases, drugs, etc..) of domain used at the international level.

The final goal is to provide an integrated tool with which it will be possible to analyze in "real time" (by querying the knowledge base) both the trend and the results of clinical and care activities for each patient with the related costs and the trend obtained from the re-aggregation/processing of information for defined hierarchical levels (region, hospital structure, department, health and administrative management, general management) with further elaborations on the overall and partial trend of the single aspects of the complex functions of a health structure, as well as considering also the opinions of people coming from social networks and territorial data.  

Partner

  • SA Documents (partner lead);
  • CINI

Funding

Total project amount: 1.000.000

Timeline

Start Date: 01/01/2015 End Date:

Reference

Prof. Vincenzo Moscato

LINK