A Hospital Cloud-Based Archival Information System for the Efficient Management of HL7 Big Data

TitleA Hospital Cloud-Based Archival Information System for the Efficient Management of HL7 Big Data
Publication TypeConference Proceedings
Year of Conference2016
AuthorsCelesti, A., M. Fazio, A. Romano, and M. Villari
Conference Name2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Pagination406 - 411
PublisherIEEE Computer Society
Conference Location30 Ma - 3 June 2016 - Opatija, Croazia
ISBN978-953-233-088-5
KeywordsBig Data, cloud computing, HL7, Hospital Information System., OAIS
Abstract

Nowadays, the Open Archive Information System (OAIS) model is widely adopted in hospitals to manage data related to both doctors and patients. However, the Archival Storage systems of hospitals are typically based on old Relational DBMS that makes hard the management of patients' data especially in HL7 format. In fact, data have to be continuously parsed in order to be stored in relational  databases and sent to other hospital systems. Considering also interoperable scenarios where HL7 data continuously grow, the management of patients' information can become very hard. In this paper, we discuss an OAIS system able to manage HL7 Big Data. In particular, considering a case of study of HL7 glucose observations in JSON format, we demonstrate that in a  scalable scenario an archival storage for big data processing is more convenient for hospitals than traditional archival storage systems.

URLhttp://www.mipro.hr/MIPRO2016.DCVIS/ELink.aspx
DOI10.1109/MIPRO.2016.7522177