This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
The Five Ws for Information Visualization with Application to Healthcare Informatics
Nov. 2013 (vol. 19 no. 11)
pp. 1895-1910
Zhiyuan Zhang, Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
Bing Wang, Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
F. Ahmed, Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
I. V. Ramakrishnan, Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
Rong Zhao, Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
A. Viccellio, Dept. of Emergency Med., Stony Brook Univ. Hosp., Stony Brook, NY, USA
K. Mueller, Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
The Five Ws is a popular concept for information gathering in journalistic reporting. It captures all aspects of a story or incidence: who, when, what, where, and why. We propose a framework composed of a suite of cooperating visual information displays to represent the Five Ws and demonstrate its use within a healthcare informatics application. Here, the who is the patient, the where is the patient's body, and the when, what, why is a reasoning chain which can be interactively sorted and brushed. The patient is represented as a radial sunburst visualization integrated with a stylized body map. This display captures all health conditions of the past and present to serve as a quick overview to the interrogating physician. The reasoning chain is represented as a multistage flow chart, composed of date, symptom, data, diagnosis, treatment, and outcome. Our system seeks to improve the usability of information captured in the electronic medical record (EMR) and we show via multiple examples that our framework can significantly lower the time and effort needed to access the medical patient information required to arrive at a diagnostic conclusion.
Index Terms:
Medical diagnostic imaging,Data visualization,Diseases,Color,Visualization,History,electronic health record (EHR),Visual knowledge representation,data fusion and integration,coordinated and multiple views,focus and context,health informatics,electronic medical record (EMR)
Citation:
Zhiyuan Zhang, Bing Wang, F. Ahmed, I. V. Ramakrishnan, Rong Zhao, A. Viccellio, K. Mueller, "The Five Ws for Information Visualization with Application to Healthcare Informatics," IEEE Transactions on Visualization and Computer Graphics, vol. 19, no. 11, pp. 1895-1910, Nov. 2013, doi:10.1109/TVCG.2013.89
Usage of this product signifies your acceptance of the Terms of Use.