Title :
The Five Ws for Information Visualization with Application to Healthcare Informatics
Author :
Zhiyuan Zhang ; Bing Wang ; Ahmed, Foisal ; Ramakrishnan, I.V. ; Rong Zhao ; Viccellio, A. ; Mueller, Klaus
Author_Institution :
Comput. Sci. Dept., Stony Brook Univ., Stony Brook, NY, USA
Abstract :
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.
Keywords :
data integration; data visualisation; health care; knowledge representation; medical diagnostic computing; medical information systems; sensor fusion; EMR; data fusion; data integration; diagnostic conclusion; electronic medical record; health conditions; healthcare informatics application; information gathering; information usability improvement; information visualization; journalistic reporting; medical patient information access; multistage flow chart; radial sunburst visualization; stylized body map; visual information displays; visual knowledge representation; Color; Data visualization; Diseases; History; Medical diagnostic imaging; Visualization; Visual knowledge representation; coordinated and multiple views; data fusion and integration; electronic health record (EHR); electronic medical record (EMR); focus and context; health informatics; Database Management Systems; Electronic Health Records; Humans; Medical Informatics; User-Computer Interface;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2013.89