Knowledge Capture

Healthcare (HC) utilizes informatics to provide its service through Information Technology (IT). In this context, knowledge management‘s (KM’s) Web 2.0’s e-Health (telemedicine) social computing, i.e. HC virtual communities (VCs) facilitate medical decision making (DM) to improve HC quality. Therefore, in the given context of this paper, these topics deem important for such a study; considering that HC KM and social media are new research areas as well as research lacks in the area of medical DM. This study has reviewed literature to critique its proposed conceptual framework that emphasizes the importance of culture and ICT to facilitate knowledge sharing to support medical DM. As a result, findings of this study projected a conceptual model viable for further empirical and practical assessment and practical implementation.
Keywords - Virtual Community; Healthcare Knowledge Management Processes; Knowledge Management Infrastructure; Medical Decision Making.
Paper Type - Literature Review

Discussion cases are commonly used at business schools because of their pedagogical values as they expose students to real-life situations through a comprehensive interaction and collaboration among students and their instructors as well as enabling students to be proficient in communication, self-management, decision-making and problem-solving skills. In this research, discussion cases were developed by instructors in collaboration with the industry as educational supports to expose students to real-life business situations and challenges. The paper focuses on the knowledge capture, sharing, and retention during the students' group work in a semester-long project where they use these pedagogical discussion cases to solve problems, which had already been solved in real life. The paper introduces a conceptual framework for knowledge sharing behavior and its potential effects on the students' learning experience during a semester long project. The framework provides the infrastructure for the capture/sharing of knowledge during the students' quest of find solutions to the discussion cases as well as showing the effect of knowledge sharing on the students' intension to share what they know. It also examines the effects of the involvement of the instructors as well as representatives from local industry on improving the students' knowledge sharing. The paper also discusses the hypotheses which have been developed to test the validity of the framework. Little prior research has carried out with such an integrated analysis, especially in the educational context. This paper will have significant value in designing higher education class settings to involve students' teamwork and industry engagement to enhance knowledge sharing.

To develop an approach to find one’s expertization level in a given field. Methods/Statistical Analysis: The
search engines were utilized to extract the expert’s data available in the internet. The results generated by the search
engines were downloaded in the database. Intern these results were used as an input to the relevance and expertise
mapping process. We have used Relevance Algorithm and Expertise Mapping Algorithm to process the data generated by
the search engines. These process yields one’s expertization level on a particular area. Findings: E-learning systems were
automated to identify an expert by using two methods self-classification and document-based-relevance. These methods
assume that relevance of one’s specified keywords or documents to the query is positively related to their expertise. In
reality, one can be identified as an expert in a specific domain by the contribution made on that particular domain. The
expert expertization data available in websites could be utilized by the e-learning systems to evaluate the expert’s. Hence
it is proposed to ensure the expertise level of an expert using a Dynamic Expertization Estimating System (DEES) in an
e-learning environment. In this approach, search engines were utilized as an agent to extract the expert’s data available
in the internet and weightage were given to the expert according to their contribution made by the expert towards the
given expertise area. The results retrieved by applying this mechanism yielded data with high accuracy levels to ensure the
expertization level of an expert. Application/Improvements: Connecting the Dynamic Expertization Estimating System
(DEES) with social media to fetch more data pertaining to the expert expertization and produce accurate expertise level
for each expert.

Maps are visual design representations used by engineers to model the information behind a design. This paper evaluates the application of mapping methods supported by the Decision Rationale editor (DRed) in aerospace engineering industry. Specifically, the research investigates what DRed mapping methods are used, where engineers find them useful and why. DRed was selected because it has been formally embedded in the design processes of the partner company and all engineering staff have access to it. The tool was investigated using semistructured interviews with 14 engineers, each already trained with DRed through their work and representing diverse departments and experience levels. Nineteen use cases were collected, ranging from high-profile, multistakeholder projects to everyday individual work. Collected cases were analyzed for the methods applied, common contexts of use, and reasons for use. The results validate baseline DRed mapping methods to capture design rationale and analyze the root causes of engineering problems. Further, it provides empirical evidence for new DRed mapping methods to manage requirements, analyze functional interactions in complex systems and manage personal information. The contexts where mapping methods are most used involve: system-level information that cuts across subsystem boundaries; irregular intervals between map applications; dealing with loosely structured information; individual use or small team collaborations; and addressing on-going problems. The reasons stated by engineers for using maps focus on engineering design thinking, communication, and planning support. Using empirical evidence of its recurrent use, this research establishes that DRed is a powerful and versatile tool for engineers in industry and its mapping methods aid important and otherwise unsupported work. The range and impact of the use cases found in practice suggest that engineers need better support for work with loosely structured information. Organizations involved in the design of complex systems should make greater use of semiformal, graph-based visual tools like DRed. The understanding of mapping software gained through this research demonstrates a shift in emphasis from the enrichment of the engineering record to the provision of immediate cognitive benefits for engineers. The results also support an incremental, adaptive approach for deploying this emerging class of tools in other organizations.