Objective: Computer supported protocol-based care aims to aid physicians in the treatment process. The main focus of current research is directed towards the formal methods and representations used “behind the scenes ” of such systems. This work is trying to build the bridge towards medical domain experts in order to support their daily work tasks of getting aquanited with treatment methods, treating patients, and analyzing data. Methods and Material: We describe the development of CareVis – interactive visualization methods to support protocol-based care. The user-centered develop-ment approach applied for these interactive visualization methods has been guided by user input gathered via a user study, design reviews, and prototype evaluati...
We are building a visual programming environment that enables medical researchers to organize and de...
As Internet-based technology spreads to most areas of life, it becomes a challenge to grasp opportun...
Computer-supported interaction with visual representations of medical data to amplify cognitio
Objective: Currently, visualization support for patient data analysis is mostly limited to the repre...
This thesis presents methods to support protocol-based care in medicine. Time-oriented treatment pla...
This dissertation proposes a visualization system that supports clinical knowledge evolution procedu...
Background: To organize an efficient interaction between a doctor and an EHR the data has to be pres...
Part 1: Long and Short PapersInternational audienceThis paper describes the results of an evaluation...
This paper describes the application of existing and novel adaptations of visualisation techniques t...
Background: Identification of many important health conditions requires synthesis of subtle clinical...
This doctoral consortium paper discusses our research plans on interactive visualizations of quantif...
BACKGROUND: When medical data have been successfully recorded or exchanged between systems there app...
In medical research and clinical work, having direct access to a large knowledge base of information...
The medical domain provides excellent opportunities for the application of computer graphics, visual...
Abstract. Information visualization (InfoVis) is defined as "the use of visual, interactive and visu...
We are building a visual programming environment that enables medical researchers to organize and de...
As Internet-based technology spreads to most areas of life, it becomes a challenge to grasp opportun...
Computer-supported interaction with visual representations of medical data to amplify cognitio
Objective: Currently, visualization support for patient data analysis is mostly limited to the repre...
This thesis presents methods to support protocol-based care in medicine. Time-oriented treatment pla...
This dissertation proposes a visualization system that supports clinical knowledge evolution procedu...
Background: To organize an efficient interaction between a doctor and an EHR the data has to be pres...
Part 1: Long and Short PapersInternational audienceThis paper describes the results of an evaluation...
This paper describes the application of existing and novel adaptations of visualisation techniques t...
Background: Identification of many important health conditions requires synthesis of subtle clinical...
This doctoral consortium paper discusses our research plans on interactive visualizations of quantif...
BACKGROUND: When medical data have been successfully recorded or exchanged between systems there app...
In medical research and clinical work, having direct access to a large knowledge base of information...
The medical domain provides excellent opportunities for the application of computer graphics, visual...
Abstract. Information visualization (InfoVis) is defined as "the use of visual, interactive and visu...
We are building a visual programming environment that enables medical researchers to organize and de...
As Internet-based technology spreads to most areas of life, it becomes a challenge to grasp opportun...
Computer-supported interaction with visual representations of medical data to amplify cognitio