Bridging the Gap Between Knowledge Representation and Electronic Health Records

Roberto Gatta, Mauro Vallati, Carlo Cappelli, Berardino De Bari, Massimo Salvetti, Silvio Finardi, Maria Lorenza Muiesan, Vincenzo Valentini, Maurizio Castellano

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


Decision Support Systems (DSSs) are systems that supports decision-making activities. Their application in medical domain needs to face the critical issue of retrieving information from heterogeneous existing data sources, such as Electronic Health Records (EHRs). It is well-known that there exists a huge problem of standardisation. In fact, EHRs can represent the same knowledge in many different ways. It is evident that the applicability of DSSs strongly relies on the availability of homogeneous collections of data. On the other hand, the gap between DSSs and different EHRs can be bridged by exploiting middleware technologies. In this paper, we tested CSL, a technology designed for working as a middleware between DSS and EHRs, which is able to combine data taken from different EHR sources and to provide abstract and homogeneous data to DSSs. Moreover, CSL has been used for implementing three Clinical Guidelines, in order to test its capability in representing complex work-flows. The performed analysis highlight strengths and limitations of the proposed approach.
Original languageEnglish
Title of host publicationProceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies
Place of PublicationPortugal
PublisherScience and Technology Publications
Number of pages7
ISBN (Electronic)9789897581700
Publication statusPublished - 2016
Event9th International Conference on Health Informatics - Rome, Italy
Duration: 21 Feb 201623 Feb 2016
Conference number: 9 (Link to Conference Website )


Conference9th International Conference on Health Informatics
Abbreviated titleHEALTHINF 2016
Internet address


Dive into the research topics of 'Bridging the Gap Between Knowledge Representation and Electronic Health Records'. Together they form a unique fingerprint.

Cite this