Implementation Of Visualization Tool Research Articles

A Survey to Assess the Current Status of Structured Benefit-Risk Assessment in the Global Drug and Medical Device Industry.

This industry survey was conducted to gain insight into the ways structured Benefit-Risk assessment (sBRA) of medical products is approached across drug or medical device developing companies, including frameworks and methods that are currently used and areas where future work is being planned. A survey containing 28 questions covering five key areas of sBRA was set-up and shared with representatives from the participating companies. Each company was asked to complete a single survey response including inputs across the company's multidisciplinary key representatives involved in benefit-risk assessment. Of the 26 participating companies, 21 (81%) are conducting sBRA. Considering these 21 qualitative frameworks were used by almost every company (19, 90%), while only 12 (57%) have used a quantitative method. Many companies have sBRA training (17, 81%), document templates (16,76%), Standard Operating Procedures (SOPs)/checklists (13, 62%), and /or best practice manuals/examples (12,57%) available. Considering all 26 companies Software tools (15, 58%) and BR planning documents (11,42%) were identified as areas into which many companies intend to put effort. The industry survey confirmed a wide usage of sBRA by many companies involved in research and development. Nevertheless, sBRA is evolving and several future opportunities like the implementation of visualization tools were identified by the representatives of the pharmaceutical companies. Finally, challenges like the cross-functional comprehension of the added value of sBRA are still seen.

Visual network research (VNR) – a theoretical and methodological appraisal of an evolving field

Visualisation has always played an important role in social network analyses. Most illustrations are used for the representation of research results and are made with the help of mathematical algorithms. In the last decades, a new movement, coming from the egocentric-qualitative network analyses, uses visualisation not only for results presentations but also for qualitative as well quantitative data collection and validation. This is a very heterogenic field, which uses diverse procedures and tools in its data collection process, which have yet to be systematically analysed. The connection to the theoretic concept is still in its infancy and systematic compilation of best practice examples have only been described rudimentarily. In this article the image of the ‘visual network’ movement will be systematically traced and structured, thereby the movement is linked to the ‘relational sociology’. Advantages and disadvantages of the visual instruments are discussed. Finally, visual items (e.g. concentric circles, sectors) for the presented of information during the visual data collection are under consideration. This article offers terminologies for different kind of visual data collection procedures and based on best practice examples, the article aims to provide guidance for practical implementation of visual tools in this kind of network research.

Multidimensional visualization of project control data

The construction industry produces voluminous quantitative data. Much of this data is created during the controls phase of projects and relates to cost, schedule, and administrative information. Recent storage and processing advances in computers as well as display capabilities afforded by computer graphics increase the opportunity to monitor projects fundamentally different from existing project control systems. However, changes in project control methods have been slow to evolve. The lack of a fundamental model of project control data representation contributes to the inadequate application and implementation of visual tools in project control methods. Difficulties associated with the graphical representation of data can be traced to the diversity of skills required in creating visual information displays. Owing to the reality that not all engineers/constructors possess these attributes in great strength, streamlining the process of how to best visualize data is important. Visual representations of data hold great potential for reducing communication difficulties fostered by industry fragmentation. However, without information structure, organization, and visual explanations, the massive amount of data available to project managers results in information overload. Therefore, improved information displays are needed to overcome the possibility of information overload with the capability of human perception. This paper discusses research to create a framework for visual representation of construction project data. Underlying visualization theory, the visual framework, and a detailed implementation are provided.