• Title/Summary/Keyword: Healthcare Knowledge Management

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Factors Affecting Hospital Employees' Knowledge Sharing (병원 근로자의 지식공유에 영향을 미치는 요인)

  • Lee, Hyun-Sook;Lee, Hae-Jong;Kim, Young-Hoon
    • Korea Journal of Hospital Management
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    • v.19 no.1
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    • pp.43-53
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    • 2014
  • The objective of this research is to survey of knowledge management in hospitals and to search the factors to impact the knowledge sharing and innovation behavior among employees. The data is collected with hospital employees by questionnaire method. Total number of analysis is 779 cases, and the collected data is analyzed by SEM(structural equation model). The work performance(WP) make influence the innovation behavior(IB) through knowledge sharing(KS) intention. The KS intention and IB are different in sex, age, education, work duration and work level. But, WP is different only in sex. The only personnel and organizational factors to affect KS intention, WP and IB are reciprocity(in personnel factor) and trust(in organization factor). Those factors mean the mental or psychological relationship among employees. So, to make more developed knowledge management in hospitals is to need more personal relationship than any other system management or incentives.

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Keyword identifications on dimensions for service quality of Healthcare providers (헬스케어 서비스 리뷰를 활용한 서비스 품질 차원 별 중요 단어 파악 방안)

  • Lee, Hong Joo
    • Knowledge Management Research
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    • v.19 no.4
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    • pp.171-185
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    • 2018
  • Studies on online review have carried out analysis of the rating and topic as a whole. However, it is necessary to analyze opinions on various dimensions of service quality. This study classifies reviews of healthcare services into service quality dimensions, and proposes a method to identify words that are mainly referred to in each dimension. Service quality was based on the dimensions provided by SERVQUAL, and patient reviews have collected from NHSChoice. The 2,000 sentences sampled were classified into service quality dimension of SERVQUAL and a method of extracting important keywords from sentences by service quality dimension was suggested. The RAKE algorithm is used to extract key words from a single document and an index is considered to consider frequently used words in various documents. Since we need to identify key words in various reviews, we have considered frequency and discrimination (IDF) at the same time, rather than identifying key words based only on the RAKE score. In SERVQUAL dimension, we identified the words that patients mentioned mainly, and also identified the words that patients mainly refer to by review rating.

Design and Implementation of Healthcare System for Chronic Disease Management

  • Song, Mi-Hwa
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.3
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    • pp.88-97
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    • 2018
  • Chronic diseases management can be effectively achieved through early detection, continuous treatment, observation, and self-management, rather than a radar approach where patients are treated only when they visit a medical facility. However, previous studies have not been able to provide integrated chronic disease management services by considering generalized services such as hypertension and diabetes management, and difficult to expand and link to other services using only specific sensors or services. This paper proposes clinical rule flow model based on medical data analysis to provide personalized care for chronic disease management. Also, we implemented that as Rule-based Smart Healthcare System (RSHS). The proposed system executes chronic diseases management rules, manages events and delivers individualized knowledge information by user's request. The proposed system can be expanded into a variety of applications such as diet and exercise service in the future.

A Study on the Effect of Patent Management Activities on Firm Outcome : The Case of Korean Product Manufacturing Firms (특허경영활동이 기업 경영성과에 미치는 영향에 관한 연구 : 국내 의료기기 제조 기업을 중심으로)

  • Kim, Yong Hyun;Jeong, Byeong Ki;Yoon, Jang Hyeok
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.1
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    • pp.1-8
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    • 2016
  • Patent management activities are considered to play a key role for technology-based firms under the recent knowledge-based economies. This is because intellectual property, including patents, can act as a system for continuous profit generation by protecting firms' products, processes and services. In Korea, healthcare industry is now regarded as one of the promising next generation industries. Despite the promise of healthcare industry, Korean healthcare product manufacturers are faced with turbulent business changes, such as market opening. Even though there are various industrial studies on the effect of patent management activities on firm outcome, previous studies have hardly paid attention to Korean healthcare product manufacturing firms. For this reason, this study identifies the effect of patent management activities, such as patenting activeness, technical excellence and cooperation degree, on firm outcomes, including financial profitability and firm growth, with respect to the Korean healthcare product manufacturers. In this study, we located 86 Korean healthcare manufacturing firms from KORCHAMBIZ and DART, and then collected the data of their patenting activities and outcomes between 2001 and 2013. By applying factor analysis and regression analysis, our empirical study found that firms' patenting activeness has the significant positive relationship on firms' financial profitability, and firms' patenting activeness and technical excellence have the significant positive relationship on firms' financial growth. Our study is an initial attempt to identify the effect of patent management activities on firm outcome within Korean healthcare product manufacturing industry, and thus its results can be used as the basis to formulate national policies for Korean healthcare product industry.

Hospital Healthcare Service Innovation: Interaction and Knowledge Sharing based on ICT Relatedness (병원 헬스케어 서비스 혁신: ICT 조직기능 연관성 (ICT Relatedness)에 기반한 상호작용과 지식공유)

  • Kim, Chan Young;Lee, Kang Duck;Kim, Yong Jin
    • Information Systems Review
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    • v.17 no.1
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    • pp.19-47
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    • 2015
  • The purpose of this research is to represent how ICT relatedness and organization environment influence on interactions between healthcare specialist and patients, and how knowledge sharing influence on healthcare innovation, and how service innovation influence on service performance through structured research model. This research also has applied to resource based view, adaptive structuration theory, service innovation, ICT relatedness to find out performance effect on healthcare service innovation and service performance. In other words, organization structure environment and ICT relatedness are important factors to promote interaction between healthcare service providers and customers like patients each other, moreover, to share the tacit knowledge by creating in the interaction. Moreover in order to verify model fitness, this research has surveyed among healthcare specialists, technicians and other staffs. Model verification result, all hypotheses have been found to give a positive effect on the creation and significantly. Structured organizational environment and ICT association is to promote the organization's functions by influencing the behavior of the service organization and patient interaction and knowledge sharing, and suggests that the major factors influencing the innovation performance of hospitals and health care services.

International Cross-Sectional Survey among Healthcare Professionals on the Management of Cow's Milk Protein Allergy and Lactose Intolerance in Infants and Children

  • Madrazo, J Armando;Alrefaee, Fawaz;Chakrabarty, Anjan;de Leon, Julia C.;Geng, Lanlan;Gong, Sitang;Heine, Ralf G.;Jarvi, Anette;Ngamphaiboon, Jarungchit;Ong, Christina;Rogacion, Jossie M.
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.25 no.3
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    • pp.263-275
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    • 2022
  • Purpose: The present international survey among healthcare providers aimed to collect data on theoretical knowledge and clinical practices in the diagnosis and management of cow's milk protein allergy (CMPA) and lactose intolerance (LI) in infants. Methods: A global survey was conducted in several countries with diverse health care settings. The survey consisted of multiple-choice questions in 3 main domains: (1) understanding and clinical practices around CMPA and LI; (2) case scenarios; and (3) disease-specific knowledge and potential educational needs. Results: Responses were available from 1,663 participants. About 62% of respondents were general practitioners or general pediatricians, and the remainder were pediatric allergists/gastroenterologists (18%) or other health practitioners (20%). The survey identified knowledge gaps regarding the types of CMPA (IgE-mediated vs. non-IgE-mediated) and the clinical overlap with LI. The survey suggested diverse clinical practices regarding the use of hypoallergenic formulas, as well as misconceptions about the prebiotic benefits of lactose in extensively hydrolyzed formulas in non-breastfed infants with CMPA. Responses to the two case scenarios highlighted varying levels of awareness of the relevant clinical practice guidelines. While respondents generally felt confident in managing infants with CMPA and LI, about 80% expressed an interest for further training in this area. Conclusion: The current survey identified some knowledge gaps and regional differences in the management of infants with CMPA or LI. Local educational activities among general and pediatric healthcare providers may increase the awareness of clinical practice guidelines for the diagnosis and treatment of both conditions and help improve clinical outcomes.

Factors Influencing the COVID-19 Infection Control Practice of Physical Therapists

  • Jang Mi Lee;Changwoo Shon
    • The Journal of Korean Physical Therapy
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    • v.34 no.6
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    • pp.304-311
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    • 2022
  • Purpose: The purpose of this study was to investigate the knowledge, awareness and performance of COVID-19 infection control among physical therapists and to identify the impact factors on performance Methods: Data were collected from March 16th to March 24th in 2022 from the physical therapist's in Busan. Data analysis was conducted on 170 surveys, after excluding 27 surveys that were found to be unsuitable for data analysis. Results: When correlating the study variables, knowledge and awareness were found to have a positive, meaningful correlation with performance. Performance of COVID-19 personal infection control regression analysis showed that the working department (clinic and long-term care hospital), clinical experience, the more knowledgeable, the awareness (personal), and the more clinical experience had significant positive impacts on the performance of COVID-19 infection control. Performance of COVID-19 treatment room infection control regression analysis showed that the working department (long-term care hospital), educational experience, the awareness (treatment room) had significant positive impacts on the performance of COVID-19 infection control Conclusion: The results of this study may be used as basic data for educating physical therapist's working at the COVID-19 response department. This study suggests that physical therapist's need educational programs to improve their knowledge and awareness and performance of infection control against infectious diseases such as COVID-19. Differentiated physical therapists practice education curricula must be developed and provided after understanding the varying characteristic of physical therapist's with different levels of work experience.

Cloud-based Healthcare data management Framework

  • Sha M, Mohemmed;Rahamathulla, Mohamudha Parveen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.1014-1025
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    • 2020
  • Cloud computing services changed the way the data are managed across the healthcare system that can improve patient care. Currently, most healthcare organizations are using cloud-based applications and related services to deliver better healthcare facilities. But architecting a cloud-based healthcare system needs deep knowledge about the working nature of these services and the requirements of the healthcare environment. The success is based on the usage of appropriate cloud services in the architecture to manage the data flow across the healthcare system.Cloud service providers offer a wide variety of services to ingest, store and process healthcare data securely. The top three public cloud providers- Amazon, Google, and Microsoft offers advanced cloud services for the solution that the healthcare industry is looking for. This article proposes a framework that can effectively utilize cloud services to handle the data flow among the various stages of the healthcare infrastructure. The useful cloud services for ingesting, storing and analyzing the healthcare data for the proposed framework, from the top three cloud providers are listed in this work. Finally, a cloud-based healthcare architecture using Amazon Cloud Services is constructed for reference.

Web-enabled Healthcare System for Hypertension : Hyperlink-based Inference Approach

  • Song Yong Uk;Chae Young Moon;Ho Seung Hee;Cho Kyoung Won
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2003.05a
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    • pp.271-285
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    • 2003
  • In the conduct of this study, a web-enabled healthcare system for the management of hypertension was implemented through a hyperlink-based inference approach. The hyperlink-based inference platform implemented using the hypertext capacity of HTML which ensured accessibility, multimedia facilities, fast response, stability, ease of use and upgrade, and platform independency of expert systems. Many HTML documents, which are hyperlinked to each other based on expert rules, were uploaded beforehand to perform the hyperlink-based inference. The HTML documents were uploaded and maintained automatically by our proprietary tool called the Web-Based inference System (WeBIS) that supports a graphical user interface (GUI) for the input and edit of decision graphs. Nevertheless, the editing task of the decision graph using the GUI tool is a time consuming and tedious chore when the knowledge engineer must perform it manually. Accordingly, this research implemented an automatic generator of the decision graph for the management of hypertension. As a result, this research suggests a methodology for the development of Web-enabled healthcare systems using the hyperlink-based inference approach and, as an example, implements a Web-enabled healthcare system for hypertension, a platform which peformed especially well in the areas of speed and stability.

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Subjective Awareness of Oral Health and Oral Health Knowledge in Accordance Oral Healthcare Behavior of Seniors Over 60 in Some Areas (일부지역 60대 이상 노인의 구강건강관리행태에 따른 주관적인 구강건강인식과 구강건강지식도)

  • Nam, In-Suk;Bae, Ji-Young
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.485-492
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    • 2017
  • This study investigated the relevancy between the subjective awareness and the level of knowledge of oral health by surveying oral health management behaviors of elderly citizens over 60 years old in certain areas. The survey was conducted from September 1 to December 30, 2016 among the elderly aged 60 or older in the GyeongBuk, and 442 responses were used in the data analysis. The statistical analysis methods were frequency analysis, t-test and ANOVA analysis. The subjective oral health awareness in accordance with oral health management behaviors were higher in the groups who brush their teeth better and for longer duration (p<.05), where the oral health knowledge level in accordance with oral health management behaviors were higher in the groups who received toothbrushing training (p<.05). Based on the above results, the subjective oral health awareness and the oral health knowledge level of elderly citizens should be improved through continuous educations for ideal oral health management behaviors in order to promote oral health of elderly citizens.