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Semantic transformation model for clinical documents in big data to support healthcare analytics

  • Shujaat Hussain
  • , Sungyoung Lee

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

12 Citations (Scopus)

Abstract

The standardized healthcare documents are being adopted at an exponential rate all around the world which poses several challenges about its large scale analysis and comprehension. The healthcare standards are complex and difficult to understand for a health analytics expert due to its comprehensive nature. This paper proposes a semantic transformation model of the healthcare documents in a distributed environment to tackle the voluminous data and its variety. In this paper Hadoop is used for the semantic transformation model and clinical document architecture (CDA) standard for the case study. The case study shows that the health analytics can be well supported by the transformation model as it is simple and tailor made for the situation.

Original languageEnglish
Title of host publicationThe 10th International Conference on Digital Information Management, ICDIM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-102
Number of pages4
ISBN (Electronic)9781467391511
DOIs
Publication statusPublished - 13 Jan 2016
Event10th International Conference on Digital Information Management, ICDIM 2015 - Jeju Island, Korea, Republic of
Duration: 21 Oct 201523 Oct 2015

Publication series

NameThe 10th International Conference on Digital Information Management, ICDIM 2015

Conference

Conference10th International Conference on Digital Information Management, ICDIM 2015
Country/TerritoryKorea, Republic of
CityJeju Island
Period21/10/1523/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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