Medical Data Visualization: Toward Integrated Clinical Workstations

2009 ◽  
pp. 139-193 ◽  
Author(s):  
Alex A. T. Bui ◽  
William Hsu
Keyword(s):  
Data Visualization ◽  
Medical Data

3D medical data visualization using SVG

2005 ◽  
Author(s):  
Seungwan Kim ◽  
Deokgyu Park ◽  
Oubong Gwun ◽  
Kun Lee
Keyword(s):  
Data Visualization ◽  
Medical Data

scholarly journals Sculpting the future of medical data visualization

2018 ◽  
Vol 8 (S1) ◽  
pp. S212-S216 ◽  
Author(s):  
Justus Harris
Keyword(s):  
Data Visualization ◽  
Medical Data ◽  
The Future

A Survey on Multimodal Medical Data Visualization

2017 ◽  
Vol 37 (1) ◽  
pp. 413-438 ◽  
Author(s):  
K. Lawonn ◽  
N.N. Smit ◽  
K. Bühler ◽  
B. Preim
Keyword(s):  
Data Visualization ◽  
Medical Data

Perspective Wall Technique for Visualizing and Interpreting Medical Data

2012 ◽  
Vol 3 (2) ◽  
pp. 45-61
Author(s):  
Hela Ltifi ◽  
Mounir Ben Ayed ◽  
Ghada Trabelsi ◽  
Adel M. Alimi
Keyword(s):  
Intensive Care Unit ◽  
Pattern Recognition ◽  
Intensive Care ◽  
Data Visualization ◽  
Medical Data ◽  
Large Collection ◽  
Visualization Technique ◽  
Visual Knowledge ◽  
Significant Interest ◽  
Visualization Techniques

Increasing the improvement of confidence and comprehensibility of medical data as well as the possibility of using the human capacities in medical pattern recognition is a significant interest for the coming years. In this context, we have created a visual knowledge discovery from databases application. It has been developed to efficiently and accurately understand a large collection of fixed and temporal patients’ data in the Intensive Care Unit in order to prevent the nosocomial infection occurrence. It is based on data visualization technique which is the perspective wall. Its application is a good example of the usefulness of data visualization techniques in the medical domain.

Volumetric Medical Data Visualization for Collaborative VR Environments

2020 ◽  
pp. 178-191
Author(s):  
Roland Fischer ◽  
Kai-Ching Chang ◽  
René Weller ◽  
Gabriel Zachmann
Keyword(s):  
Data Visualization ◽  
Medical Data

An Image Overlay system for medical data visualization

2000 ◽  
Vol 4 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Mike Blackwell ◽  
Constantinos Nikou ◽  
Anthony M DiGioia ◽  
Takeo Kanade
Keyword(s):  
Data Visualization ◽  
Medical Data ◽  
Image Overlay

Visualization of Medical Data Based on EHR Standards

2013 ◽  
Vol 52 (01) ◽  
pp. 43-50 ◽  
Author(s):  
C. Hildebrand ◽  
J. Stausberg ◽  
K. H. Englmeier ◽  
G. Kopanitsa
Keyword(s):  
Data Visualization ◽  
User Interfaces ◽  
Medical Data ◽  
Great Effort ◽  
Visualization Method ◽  
Data Layout ◽  
Presentation Methods ◽  
User Friendly ◽  
Iso 13606 ◽  
Do So

SummaryBackground: To organize an efficient interaction between a doctor and an EHR the data has to be presented in the most convenient way. Medical data presentation methods and models must be flexible in order to cover the needs of the users with different backgrounds and requirements. Most visualization methods are doctor oriented, however, there are indications that the involvement of patients can optimize healthcare.Objectives: The research aims at specifying the state of the art of medical data visualization. The paper analyzes a number of projects and defines requirements for a generic ISO 13606 based data visualization method. In order to do so it starts with a systematic search for studies on EHR user interfaces.Methods: In order to identify best practices visualization methods were evaluated according to the following criteria: limits of application, customizability, re-usability. The visualization methods were compared by using specified criteria.Results: The review showed that the analyzed projects can contribute knowledge to the development of a generic visualization method. However, none of them proposed a model that meets all the necessary criteria for a re-usable standard based visualization method. The shortcomings were mostly related to the structure of current medical concept specifications.Conclusion: The analysis showed that medical data visualization methods use hard-coded GUI, which gives little flexibility. So medical data visualization has to turn from a hardcoded user interface to generic methods. This requires a great effort because current standards are not suitable for organizing the management of visualization data. This contradiction between a generic method and a flexible and user-friendly data layout has to be overcome.

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