Knowledge Management of Healthcare by Clinical-Pathways

2010 ◽  
Vol 09 (02) ◽  
pp. 119-125 ◽  
Author(s):  
Tomoyoshi Yamazaki ◽  
Katsuhiro Umemoto

Healthcare is a knowledge-intensive service provided by professionals, such as medical doctors, nurses, and pharmacists. Clinical-pathways are used by many healthcare organisations (HCOs) as a tool for performing the healthcare process, sharing and utilising knowledge from different professionals. In this paper, case studies were performed at two HCOs that use clinical-pathways actively in the healthcare process. Theoretical model construction, sharing, utilisation, and creation of the knowledge by different professionals, were tested by the case study of two HCOs which use clinical pathways actively. The theoretical model was a knowledge creation model which creates new knowledge continuously. In this theoretical model, clinical-pathways are suggested to be an effective tool for knowledge management in healthcare.

2017 ◽  
Vol 8 (3) ◽  
pp. 45-67 ◽  
Author(s):  
Loan Nguyen ◽  
Youji Kohda

We aimed at discovering how auditors working in an auditing firm managed their knowledge-related processes, and then built a theoretical model for the knowledge management of professional knowledge-intensive services like auditing. We conducted a case study in an auditing firm in Vietnam by employing a qualitative methodology in this research by using twenty in-depth interviews, observations, and documentary analysis. A literature review revealed that auditing research has been developed through various approaches ranging from experimental studies to information processing and experience-focused and knowledge-related interests. However, there has not been much empirical research that explains how knowledge is created during an auditing process. We conducted an empirical case study in this research that provided useful insights into constructing a theoretical model of knowledge management processes in auditing. Because the theoretical model consisted of three phases of collecting data, analyzing data (thereby turning them into information), and synthesizing information into knowledge, we called it the collect-analyze-synthesize (CAS) model. The model was used to visualize the auditing process as a spiral with many iterative CAS processes. Wisdom in the CAS model is defined as high levels of accumulated knowledge and the ability to exercise professional judgments attained from long-term experience. Wisdom is retained by members in an auditing firm and drives the auditing process. The significance of this study was inherent in three main areas: providing scholarly extensions of the literature by suggesting a knowledge management framework for auditing processes, helping auditors and auditing firms with their roles, and ensuring better assurance services for society.


SAGE Open ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 215824401880732 ◽  
Author(s):  
Elsa Grimsdottir ◽  
Ingi Runar Edvardsson

The aim of this article is to present findings on knowledge management (KM) and knowledge creation, as well as open innovation in small and medium-sized enterprises (SMEs) in Iceland. Two SME company case studies are presented in the form of a case study involving semistructured interviews with managers and selected employees and in-field observation. Company Alpha is a software company, whereas Company Beta is a family company which produces drinks and snacks. Knowledge creation and innovation is a learning process in both companies. The two companies show very different open-innovation models in practice. The findings regarding the two companies are in accordance with the arguments of Chiaroni et al., where they state that high-tech companies tend to prefer inside-out strategies of open innovation, whereas low-tech companies prefer outside-in strategies. Company Alpha relates to customers late in the process, whereas Company Beta relies on knowledge from customers and suppliers and for new knowledge early on in the process.


2015 ◽  
Vol 14 (02) ◽  
pp. 1550015 ◽  
Author(s):  
Saori Ohkubo ◽  
Sarah V. Harlan ◽  
Naheed Ahmed ◽  
Ruwaida M. Salem

Over the past few decades, knowledge management (KM) has become well-established in many fields, particularly in business. Several KM models have been at the forefront of promoting KM in businesses and organisations. However, the applicability of these traditional KM models to the global health field is limited by their focus on KM processes and activities with few linkages to intended outcomes. This paper presents the new Knowledge Management for Global Health (KM4GH) Logic Model, a practical tool that helps global health professionals plan ways in which resources and specific KM activities can work together to achieve desired health program outcomes. We test the validity of this model through three case studies of global and field-level health initiatives: an SMS-based mobile phone network among community health workers (CHWs) and their supervisors in Malawi, a global electronic Toolkits platform that provides health professionals access to health information resources, and a netbook-based eHealth pilot among CHWs and their clients in Bangladesh. The case studies demonstrate the flexibility of the KM4GH Logic Model in designing various KM activities while defining a common set of metrics to measure their outcomes, providing global health organisations with a tool to select the most appropriate KM activities to meet specific knowledge needs of an audience. The three levels of outcomes depicted in the model, which are grounded in behavioural theory, show the progression in the behaviour change process, or in this case, the knowledge use process, from raising awareness of and using the new knowledge to contributing to better health systems and behaviours of the public, and ultimately to improving the health status of communities and individuals. The KM4GH Logic Model makes a unique contribution to the global health field by helping health professionals plan KM activities with the end goal in mind.


2017 ◽  
Vol 1 (1) ◽  
pp. 36-45
Author(s):  
Salman Bashir Memon ◽  
◽  
Wajid Hussain Rizvi ◽  
Syed Sumaiya ◽  
◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maayan Nakash ◽  
Dan Bouhnik

Purpose This study aims to examine the relevance of the term “knowledge management” (KM) in the organizational context, and deliberates whether there is a need for rebranding of this field. It also enriches the understanding regarding the appropriateness of the term “KM,” which was chosen to represent the discipline. Design/methodology/approach This study adopted a qualitative research methodology, and a case study approach was followed by conducting 19 semi-structured in-depth interviews with international KM experts working in a global consulting firm. The data were analyzed using a thematic analysis method based on the grounded theory approach. Findings The findings provide empirical evidence that attempts are being made to move away from the label “KM” in certain knowledge-intensive organizations. This study sheds light on the challenges associated with this term, which leads some to believe that the name of the discipline needs to change. Originality/value The present pioneering research contributes to empirical knowledge through investigation of an unexplored scientific field. To the best of the authors’ knowledge, for the first time, its uniqueness can be established by the fact that the opinions of KM professionals are being heard regarding the “KM” label, as well as the need for a rebranding of this discipline in the organizational context. From a practical and strategic perspective, this study suggests that the research community and practitioners pay attention to attempts to shift away from the existing title identified in organizational practice.


Author(s):  
Miguel-Angel Sicilia

Learning activities can be considered the final outcome of a complex process inside knowledge intensive organizations. This complex process encompasses a dynamic cycle, a loop in which business or organizational needs trigger the necessity of acquiring or enhancing human resource competencies that are essential to the fulfillment of the organizational objectives. This continuous evolution of organizational knowledge requires the management of records of available and required competencies, and the automation of such competency handling thus becomes a key issue for the effective functioning of knowledge management activities. This chapter describes the use of ontologies as the enabling semantic infrastructure of competency management, describing the main aspects and scenarios of the knowledge creation cycle from the perspective of its connection with competency definitions.


Author(s):  
Maria Manuel Mendes ◽  
Jorge F.S. Gomes ◽  
Bernardo Batiz-Lazo

This chapter uses key concepts in the knowledge management literature to analyse the procedures and practices used by a team during a new product development project. More precisely, the knowledge process or knowledge cycle is used as a means to examine issues relating to knowledge identification, creation, storage, dissemination, and application in new product development. Results from the case study also suggest that the knowledge process may be valuable in assessing the structural elements of knowledge management, but fails to provide a more comprehensive explanation of the dynamics and complexities involved. This suggests that more elaborate models are needed to explain how knowledge is created, shared and used in knowledge-intensive processes.


Author(s):  
Pei-Di Shen ◽  
Tsang-Hsiung Lee ◽  
Chia-Wen Tsai ◽  
Yi-Fen Chen

This study is an exploratory investigation of the enabling roles of knowledge management for integrated circuit (IC) Designers, Distributors, and Manufacturers. This study explores the different enabling roles in terms of knowledge creation, storage/retrieval, transfer and application when businesses implement knowledge management in upstream, midstream, and downstream firms in the IC industry. Three cases, Winbond, Worldpeace, and Taiwan Semiconductor Manufacturing Company (TSMC) were studied and analyzed systemically to illustrate the findings and insights in this study. The findings in this study point out that IC designers may focus more on knowledge storage, while IC distributors pay more attention to knowledge application and IC Manufacturers emphasize knowledge creation. The necessity to implement knowledge management in the distribution industry is also emphasized in this study. Moreover, the reasons for the different enabling roles are presented in the ‘Insights from Case Studies’ section of the paper.


Author(s):  
Dana Tessier

Organizations are facing many challenges to remain relevant in the face of new technology, emerging markets, and changing consumer behaviors. Many organizations look to become learning organizations with knowledge management strategies to leverage their knowledge assets and continuously innovate their strategies and products. However, organizations struggle to achieve success with knowledge management because their organizational culture does not support knowledge-sharing and must be adapted for this new behavior. Knowledge must flow through the organization, and so, therefore, these necessary behaviors must work within the existing corporate culture. Observations from a case study at a software company are discussed, and a new knowledge management model, the Knowledge Management Triangle, is introduced. The Knowledge Management Triangle is a simple model to explain and implement knowledge management within organizations and is customizable to work within the organization's culture to ensure the new knowledge management behaviors are appropriately adopted.


Author(s):  
Eng K. Chew ◽  
Petter Gottschalk

As described in Chapter X, fundamental to the company’s innovation capabilities is the level of collaboration and knowledge management capabilities available to support the innovation process. The ability of an organization to identify, acquire, and utilize external knowledge, known as knowledge absorption, can be critical to the firm’s operational success (Adams, Bessant, & Phelps, 2006). A survey by Adams et al. (2006) shows that three areas of knowledge management are critical for innovation management: idea generation, knowledge repository (including the management of tacit and explicit knowledge), and information flows (including information gathering and networking). Further they note that several researchers have found that the firm’s ability to “absorb and put to use new knowledge,” known as knowledge “absorptive capacity,” has direct impact on the firm’s innovation and performance (Chen, 2004; Tsai, 2001). Popadiuk and Choo (2006) have further shown that innovation and knowledge creation are related. Innovation is a result of knowledge creation. Innovation is related to the firm’s ability to combine new knowledge with existing knowledge to create new knowledge that is unique to the firm. It is also related to the firm’s ability to diffuse knowledge throughout the organization so that the organization as a whole increases its absorptive capacity. Knowledge diffusion can be facilitated by IT infrastructure and knowledge management system. Knowledge management is aimed at leveraging internal and external knowledge to create value from the firm’s intangible assets. According to Metaxiotis and Psarras (2006), knowledge management contributes to value creation by enhancing: intellectual asset management, operational efficiency, customer and competitor intelligence, continuous improvement, organizational learning, innovation in products and services, and time to market. They report of findings from American Productivity and Quality Center that greater emphasis should be made by firms on “using knowledge management to become more efficient innovators.” To leverage knowledge management for business innovation, IT managers must first understand the basic principles, theories, and practices of knowledge management. Next, they must understand how knowledge management will contribute to innovation. This chapter aims to address both topics to help make IT managers become the IT innovators.


Sign in / Sign up

Export Citation Format

Share Document