eprintid: 6491
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/64/91
datestamp: 2023-11-09 16:18:16
lastmod: 2023-11-09 16:18:16
status_changed: 2023-11-09 16:06:53
type: conference_item
metadata_visibility: show
creators_name: Malik, M.S.A.
creators_name: Sulaiman, S.
title: An analytical evaluation of information visualization factors for multiple electronic health records
ispublished: pub
keywords: Health; Information analysis; Information systems; Records management; Surveys; Visualization, Analytical evaluation; CARE 1.0; Electronic health record; Future perspectives; Information visualization; Inter-relationships; IV and EHR; Visual Designers, Information science
note: cited By 0; Conference of 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125433
abstract: Information Visualization (IV) facilitate the robust understanding and efficient utilization of multiple Electronic Health Records (EHR) by all stakeholders such as Doctors, DBA and Visual Designers. Currently all IV models and tools focus on feedback from doctors while health informatics applications involves the collaboration of multidisciplinary professionals. IV model CARE 1.0 categorizes the IV factors in knowledge, skills, assessment and future perspective. This research paper presents the analysis of three questionnaire based studies from three stakeholders doctors, DBA and visual designers involved with the visualization of multiple EHR. Statistical results of the studies emphasize the inter relationships between knowledge, skills, assessment and future perspective for stakeholders. © 2016 IEEE.
date: 2016
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010408505&doi=10.1109%2fICCOINS.2016.7783201&partnerID=40&md5=55cceebae2ed10651884fccca68858b5
id_number: 10.1109/ICCOINS.2016.7783201
full_text_status: none
publication: 2016 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 - Proceedings
pagerange: 126-131
refereed: TRUE
isbn: 9781509051342
citation:   Malik, M.S.A. and Sulaiman, S.  (2016) An analytical evaluation of information visualization factors for multiple electronic health records.  In: UNSPECIFIED.