Data types managed database design for dynamic content: A database design for Personal Health Book system

Seddiq Alabbasi, Ashir Ahmed, Kunihiko Kaneko, Andrew Rebeiro-Hagrave, Akira Fukuda

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

1 Citation (Scopus)

Abstract

Electronic Health Records (EHR) are digitized and stored for efficient patient management in hospitals or clinics. At the patient side, health records are not digitally stored and thus difficult to manage across different hospitals. We propose a new system, where medical sources (firms & devices) import a person's medical records into Personal Health Book (PHB). This will give the person (the owner of the records) the capability to manage, control and share his/her own Personal Health Records (PHR). However, medical sources have different structure and database design. In this paper, we propose a decomposed database design for PHB that accommodate different structured data. We test the capability of generating a meaningful report and compare it to the original EHR received from source (Hospital). We use a framework that exports the data from PHB into an Extensible Markup Language (XML) file format, then view it using predefined Extensible Stylesheet Language (XSL). We observe that our database design can generate a report with same content of original EHR in a meaningful manner that the owner and authorized parties can understand it.

Original languageEnglish
Title of host publicationTENCON 2014 - 2014 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479940752
DOIs
Publication statusPublished - Jan 26 2015
Event2014 IEEE Region 10 Conference, TENCON 2014 - Bangkok, Thailand
Duration: Oct 22 2014Oct 25 2014

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2015-January
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other2014 IEEE Region 10 Conference, TENCON 2014
CountryThailand
CityBangkok
Period10/22/1410/25/14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Alabbasi, S., Ahmed, A., Kaneko, K., Rebeiro-Hagrave, A., & Fukuda, A. (2015). Data types managed database design for dynamic content: A database design for Personal Health Book system. In TENCON 2014 - 2014 IEEE Region 10 Conference [7022451] (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2015-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2014.7022451