Advancing data management and usage in a major Australian health service: the REASON discovery platform™

Christopher Bain, Chris Mac Manus

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

7 Citations (Scopus)

Abstract

The acquisition of data, its aggregation and usage is critical to the ongoing function of hospitals. This statement remains true across the numerous dimensions of that functioning - from clinical care to management and operations to research. At Alfred Health we have constructed a standards based informatics platform called REASON, with support for all of these functions in mind. Whilst analogous to more advanced examples of such platforms in the US, we believe this work is unique in the Australian context. In this paper we will outline work to date, lessons learned, and examples of how the health service has been positively impacted so far by the work. Finally, we will examine some future directions for the platform.

Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Data Science and Engineering (ICDSE)
EditorsA. Unnikrishnan
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages38-43
Number of pages6
ISBN (Electronic)9781479968701, 9781479954612, 9781479954605
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventInternational Conference on Data Science and Engineering 2014 - Kochi, India
Duration: 26 Aug 201428 Aug 2014
https://web.archive.org/web/20140610094641/http://icdse.cusat.ac.in/

Conference

ConferenceInternational Conference on Data Science and Engineering 2014
Abbreviated titleICDSE 2014
CountryIndia
CityKochi
Period26/08/1428/08/14
Internet address

Keywords

  • data management
  • hospital
  • informatics
  • platform

Cite this

Bain, C., & Manus, C. M. (2014). Advancing data management and usage in a major Australian health service: the REASON discovery platform™. In A. Unnikrishnan (Ed.), Proceedings of the 2014 International Conference on Data Science and Engineering (ICDSE) (pp. 38-43). [6974609] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICDSE.2014.6974609