Evaluation Study for an ISO 13606 Archetype Based Medical Data Visualization Method

2015 ◽  
Vol 39 (8) ◽  
Author(s):  
Georgy Kopanitsa
Keyword(s):  
Data Visualization ◽  
Evaluation Study ◽  
Medical Data ◽  
Visualization Method ◽  
Iso 13606

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.

scholarly journals An Enhanced Data Visualization Method for Diesel Engine Malfunction Classification Using Multi-Sensor Signals

Sensors ◽  
2015 ◽  
Vol 15 (10) ◽  
pp. 26675-26693 ◽  
Author(s):  
Yiqing Li ◽  
Yu Wang ◽  
Yanyang Zi ◽  
Mingquan Zhang
Keyword(s):  
Diesel Engine ◽  
Data Visualization ◽  
Visualization Method ◽  
Sensor Signals

Data Visualization

2014 ◽  
pp. 322-351 ◽  
Author(s):  
Ravishankar Palaniappan
Keyword(s):  
Data Structure ◽  
Data Visualization ◽  
Real World ◽  
Research Field ◽  
Use Case ◽  
Visualization Method ◽  
Visualization Process ◽  
Active Research ◽  
Real World Datasets ◽  
Qualitative Exploration

Data visualization has the potential to aid humanity not only in exploring and analyzing large volume datasets but also in identifying and predicting trends and anomalies/outliers in a “simple and consumable” approach. These are vital to good and timely decisions for business advantage. Data Visualization is an active research field, focusing on the different techniques and tools for qualitative exploration in conjunction with quantitative analysis of data. However, an increase in volume, multivariate, frequency, and interrelationships of data will make the data visualization process notoriously difficult. This necessitates “innovative and iterative” display techniques. Either overlooking any dimensions/relationships of data structure or choosing an unfitting visualization method will quickly lead to a humanitarian uninterpretable “junk chart,” which leads to incorrect inferences or conclusions. The purpose of this chapter is to introduce the different phases of data visualization and various techniques which help to connect and empower data to mine insights. It exemplifies on how “data visualization” helps to unravel the important, meaningful, and useful insights including trends and outliers from real world datasets, which might otherwise be unnoticed. The use case in this chapter uses both simulated and real-world datasets to illustrate the effectiveness of data visualization.

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

INFOGRAPHICS AS A TOOL IN DEVELOPING DISCOURSE COMPETENCE IN THE EAP COURSE

2020 ◽  
Vol 8 (4) ◽  
pp. 1050-1060
Author(s):  
N. I. Almazova ◽  
A. V. Rubtsova ◽  
T. G. Evtushenko ◽  
Y. Y. Radchenko
Keyword(s):  
Foreign Language ◽  
Data Visualization ◽  
Cognitive Abilities ◽  
Applied Mathematics ◽  
Project Based Learning ◽  
Visualization Method ◽  
Text Interpretation ◽  
Academic Knowledge ◽  
Static Data ◽  
Discourse Competence

Purpose of the study: The objective of the study is to develop a discourse competence in the EAP classroom taking into account learners’ academic knowledge background and cognitive abilities. The use of static data visualization method contributes to the development of students` academic communication skills by through the integration of specialist reading, academic writing and speaking within a project-based learning approach. Methodology: Within the scope of the experimental project-based learning, we used a productive method of text interpretation through static data visualization. Students have to create an infographic following the proposed algorithm, including four stages necessary and sufficient for developing specific skills as components of a discourse competence. Main Findings: The experimental results show a significant improvement of such discourse competence indicators as unity and coherence, conciseness and comprehensiveness, and selection and categorisation. This implies that the static data visualization method proves to be effective for developing academic foreign language skills through a guided multi-stage text interpretation. Applications of this study: The authors conducted a pedagogical experiment within the framework of the discipline “English for Academic Purposes” teaching master students of Applied Mathematics of Peter the Great Saint Petersburg Polytechnic University. The use of the proposed algorithm proves to be effective for teaching English for specific/academic purposes at all non-language faculties. Novelty of this study: For the first time a proposed static data visualization method was used to integrate students` academic knowledge and cognitive abilities into creating a meaningful project, which required the reasonable choice of source materials in a foreign language, analysing quality and quantity maxims based on previous academic experience but sufficient for the subject matter discussed, and resulted in converting existing knowledge into a new academic product.

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