scholarly journals Knowledge-Based Decision Support in Healthcare via Near Field Communication

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4923 ◽  
Author(s):  
Giuseppe Loseto ◽  
Floriano Scioscia ◽  
Michele Ruta ◽  
Filippo Gramegna ◽  
Saverio Ieva ◽  
...  

The benefits of automatic identification technologies in healthcare have been largely recognized. Nevertheless, unlocking their potential to support the most knowledge-intensive medical tasks requires to go beyond mere item identification. This paper presents an innovative Decision Support System (DSS), based on a semantic enhancement of Near Field Communication (NFC) standard. Annotated descriptions of medications and patient’s case history are stored in NFC transponders and used to help caregivers providing the right therapy. The proposed framework includes a lightweight reasoning engine to infer possible incompatibilities in treatment, suggesting substitute therapies. A working prototype is presented in a rheumatology case study and preliminary performance tests are reported. The approach is independent from back-end infrastructures. The proposed DSS framework is validated in a limited but realistic case study, and performance evaluation of the prototype supports its practical feasibility. Automated reasoning on knowledge fragments extracted via NFC enables effective decision support not only in hospital centers, but also in pervasive IoT-based healthcare contexts such as first aid, ambulance transport, rehabilitation facilities and home care.

Author(s):  
Jean-Fabrice Lebraty ◽  
Cécile Godé

This article explores the ability of a decision support system (DSS) to improve the quality of decision making in extreme environment. This DSS is actually based on a networked information system. Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users' evaluations as a relevant measurement technique for Information System (IS) success. Although effective contributions have been achieved in measurement and exploration of fit, there have been few attempts to investigate the triangulation of fit between “Task-DSS-Decision Maker” under stressful and uncertain circumstances. This article provides new insights regarding the advantages provided by networked IS for making relevant decisions. An original case study has been conducted. It is focused on a networked decision support system called Link 16 that is used during aerial missions. This case study shows that the system improves decision making on an individual basis. Our result suggest the importance of three main fit criteria – Compliance, Complementarity and Conformity – to measure DSS performance under extreme environment and display a preliminary decisional fit model.


Author(s):  
Jozefina Komporaly

This article investigates ways in which theatre and performance have the potential to revisit and re-interpret ideological narratives. Drawing on the politics of transnational performance-making processes, it examines how multilingual theatre productions can contribute to the production of subjective and collective identities, and help articulate ideas and perceptions of belonging. With reference to 20/20 – a piece of documentary-style theatre about a major inter-ethnic conflict that took place in 1990 in a bilingual city in Romania – this case study maps out arguments for utilizing multilingualism on stage, and engages with the ethics of representation in the process of multilingual transfer. Billed as  ‘multi-ethnic and multilingual’, the production embraces an agenda that goes beyond the examination of an isolated local conflict and makes the point that both theatre-making and theatre-going are experiences that strongly interact with narratives of cultural identity and hybridization. Thus, the representation of belonging or not belonging is tied in with questions of agency, and the right of individuals to affirm and indeed interrogate their hereditary links to a community.


Author(s):  
Patrocinio Zaragoza-Sáez ◽  
Enrique Claver-Cortés

Linking the knowledge-based view and the intellectual capital view of the firm, this chapter has as its purpose to underline the relevance of a specific component of intellectual capital, namely relational capital, in the knowledge acquisition and transfer processes as well as its influence on a firm’s value creation. The authors used a qualitative research based on a multiple case study, and six Spanish knowledge-intensive firms were analyzed in depth. The results show that the main relational capabilities used by firms to create value through knowledge management are: relationships with customers, suppliers and stakeholders; acquisition of established firms; setting-up of joint ventures; collaboration with Universities, national and international institutions; participation in forums and conferences; publications; advice given by consultants and experts; and benchmarking practices. These capabilities allow firms to acquire and transfer knowledge from the environment where they develop their activity with the aim of obtaining benefits such as innovations; customers, suppliers and stakeholders’ satisfaction; an improvement in the firm’s image and credibility; new knowledge; and learning.


Author(s):  
K. Subburaj ◽  
P. Suresh ◽  
S. S. Anasane ◽  
B. Ravi ◽  
M. G. Agarwal

Modular endo-prostheses were introduced in 1980s with the intent of replacing custom made implants, which were criticized for lack of intra-operative flexibility, and high lead time and cost [1]. A typical modular prosthesis set may have as many as 200 components, making it difficult to select the right set of components in intra operative stage. An automated prosthesis selection methodology to limit the choice of prosthesis components with a qualitative tag such as: (1) ‘most suitable’, (2) ‘probably suitable’, and (3) ‘not suitable’, will greatly help the surgeons. This article describes a computer aided decision support system for selecting endo-prosthesis components driven by anatomical data of the patient. The methodology is explained with a case study of distal femur replacement.


2018 ◽  
Vol 11 (3) ◽  
pp. 282-305 ◽  
Author(s):  
Rachel Calipha ◽  
David M. Brock ◽  
Ahron Rosenfeld ◽  
Dov Dvir

PurposeThe acquisition of knowledge through mergers and acquisition (M&A) may not create value—usually because the knowledge may not be transferred, or transferred but not integrated. The purpose of this paper to develop and test a theoretical model of knowledge and performance in the M&A process.Design/methodology/approachTheory, model and case analysis.FindingsThe literature review led us to distinguish between three main categories of knowledge along the different stages of the M&A process: acquired knowledge in the pre-merger stage; and transferred knowledge and integrated knowledge in the post-merger stage. The application of the model is illustrated in a case study of technology M&A, which includes data collected from annual reports before and after the merger.Research limitations/implicationsThe model recommends acknowledging the differences between the acquired knowledge, transferred knowledge and integrated knowledge when examining the relationship between knowledge and performance in M&As. In addition, the model suggests considering several factors that influence future knowledge integration in the pre-merger stage. Ignoring the three categories and the factors may be the reason for the reports of previous studied stating that the acquisition of knowledge-based resources is associated with negative announcement returns to the acquiring firm.Originality/valueThe paper presents new procedures to measure knowledge, collecting data on R&D employees by using annual reports. In addition, the paper suggests adding “in-process R&D” as an “Acquired Knowledge” measure.


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