Towards A Task Taxonomy of Visual Analysis of Electronic Health or Medical Record Data

Xiaohui Bian, Hadi H K Kharrazi, Jesus J. Caban, Gaoqi He, Zhiquan Feng, Jian Chen

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

Abstract

We integrate literature- and data-driven task analysis methods to derive an initial task taxonomy for electronic health record (EHR) and electronic medical record (EMR) data analysis. An EHR (EMR) is a digital and longitudinal version of a patients health(medical) information and may include all key clinical events relevant to that persons health (medical) history, such as provider, demographics, progress notes, medicine, diagnosis, etc. Our goal is to arrive a task taxonomy for analyzing EHR (EMR) datasets because tasks play an important role in the design and evaluation of visualization techniques. Our method has three stages: data collection, task modelling, and task taxonomy summary. In data collection, we first survey related literature from the past two decades and extract typical tasks and corresponding data by extracting goals and scenarios of the particular work. We introduce multiple continuous relations to describe specific binary or multiple continuous relation-seeking tasks. Finally, we arrive an initial set of task types for EHR/EMR analysis that guide the design and evaluation of visualization techniques.

Original languageEnglish (US)
Title of host publicationProceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-286
Number of pages6
ISBN (Electronic)9781538676707
DOIs
StatePublished - May 3 2019
Event6th IEEE International Conference on Progress in Informatics and Computing, PIC 2018 - Suzhou, China
Duration: Dec 14 2018Dec 16 2018

Publication series

NameProceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018

Conference

Conference6th IEEE International Conference on Progress in Informatics and Computing, PIC 2018
CountryChina
CitySuzhou
Period12/14/1812/16/18

Keywords

  • data-driven method
  • electronic health record
  • literature-driven method
  • Task taxonomy
  • visualization task analysis

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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