• Title/Summary/Keyword: Healthcare Knowledge Management

검색결과 149건 처리시간 0.032초

성격적 특성과 사회인지적 요인이 병원 근무 간호사의 지식공유행동에 미치는 영향 (The effects of Personality Trait and Social Cognitive Factors on Knowledge Sharing Behavior of the Hospital Nurses)

  • 윤경일;이원재
    • 한국병원경영학회지
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    • 제11권4호
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    • pp.37-62
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    • 2006
  • This study investigates the antecedents of knowledge sharing behavior focusing on the individual level factors in an assumption that the behavior is initiated from the individual level decisions. A hypothesis that the relation between personality trait and behavior is mediated by the social-cognitive constructs contained in the Theory of Planned Behavior(TPB) is tested. For the study, we suggest a TPB extended model that extends original TPB model by including conscientiousness facet of FFM(Five Factor Model). This study uses a cross-sectional design. Data were collected from a self-reported survey on 197 nurses in a tertiary hospital. The results showes a significant positive relationship between the conscientiousness facet of FFM and knowledge sharing behavior. In the TPB extended model, the conscientiousness facet has significant direct effects on all the constructs of original TPB model. Of the TPB exogenous constructs, the social norm construct alone has a significant effect on intention and the perceived behavioral has a direct significant effect on the knowledge sharing behavior. These results confirm the importance of conscientiousness in predicting knowledge sharing behavior and clarify the characteristics of knowledge sharing behavior as a contextual, job oriented behavior in a workplace. We conclude that personality trait as conceptualized in the FFM needs to be integrated into TPB model in explaining the knowledge sharing behavior. Based on these results theoretical and practical implications are discussed.

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일 대학병원 근로자의 지식공유 의도에 미친 영향분석 (The Analysis of Factors affecting Workers' Knowledge Sharing Intention in a University Hospital)

  • 이현숙;김영훈;이해종;김영배
    • 한국병원경영학회지
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    • 제18권4호
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    • pp.131-144
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    • 2013
  • The purpose of this study is to analysis factors affecting workers' knowledge sharing intention in a hospital. This study is based on personal factors such as perceived incentives, perceived reciprocal benefits, perceived behavioral control, and subjective norm. Also, there are organizational factors such as organizational climate, CEO's support, rewards system, trust, and IT system. Data were assessed using 107 employees who work at C university hospital in Chunkcheong-do and collected with self-administered questionnaires from April 1 to 13 in 2013. This study was analyzed SPSS 18 by using frequency and multi regression analysis. The results of the study were as follows. First, knowledge sharing intention among personal factors was statistically significant in perceived behavioral control. Second, the awareness of knowledge sharing intention among organizational factors was turned out to be positive effect for CEO's support and trust. This study was identified a couple of factors affecting knowledge sharing intention between personal and organizational factors. The the implications of these factors are discussed and areas for developing hospital management strategies are fostered knowledge sharing.

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프로세스 중심의 진료의사결정 지원 시스템 구축 (Development of process-centric clinical decision support system)

  • 민영빈;김동수;강석호
    • 산업공학
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    • 제20권4호
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    • pp.488-497
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    • 2007
  • In order to provide appropriate decision supports in medical domain, it is required that clinical knowledge should be implemented in a computable form and integrated with hospital information systems. Healthcare organizations are increasingly adopting tools that provide decision support functions to improve patient outcomes and reduce medical errors. This paper proposes a process centric clinical decision support system based on medical knowledge. The proposed system consists of three major parts - CPG (Clinical Practice Guideline) repository, service pool, and decision support module. The decision support module interprets knowledge base generated by the CPG and service part and then generates a personalized and patient centered clinical process satisfying specific requirements of an individual patient during the entire treatment in hospitals. The proposed system helps health professionals to select appropriate clinical procedures according to the circumstances of each patient resulting in improving the quality of care and reducing medical errors.

Biomedical Ontologies and Text Mining for Biomedicine and Healthcare: A Survey

  • Yoo, Ill-Hoi;Song, Min
    • Journal of Computing Science and Engineering
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    • 제2권2호
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    • pp.109-136
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    • 2008
  • In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to biomedicine and healthcare. Biomedical ontologies such as UMLS are currently being adopted in text mining approaches because they provide domain knowledge for text mining approaches. In addition, biomedical ontologies enable us to resolve many linguistic problems when text mining approaches handle biomedical literature. As the first example of text mining, document clustering is surveyed. Because a document set is normally multiple topic, text mining approaches use document clustering as a preprocessing step to group similar documents. Additionally, document clustering is able to inform the biomedical literature searches required for the practice of evidence-based medicine. We introduce Swanson's UnDiscovered Public Knowledge (UDPK) model to generate biomedical hypotheses from biomedical literature such as MEDLINE by discovering novel connections among logically-related biomedical concepts. Another important area of text mining is document classification. Document classification is a valuable tool for biomedical tasks that involve large amounts of text. We survey well-known classification techniques in biomedicine. As the last example of text mining in biomedicine and healthcare, we survey information extraction. Information extraction is the process of scanning text for information relevant to some interest, including extracting entities, relations, and events. We also address techniques and issues of evaluating text mining applications in biomedicine and healthcare.

Information Technology Usage to Improve the Perceived Quality of Healthcare Service

  • Vilivong, Chindavanh;Cho, Namjae
    • Journal of Information Technology Applications and Management
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    • 제21권2호
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    • pp.31-48
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    • 2014
  • The concept of Health Related Quality of Life and its determinants have evolved since the 1980s. Although many researchers have published articles of technology usage in hospitals and the installation of technology based healthcare system, the research about applying the information technology to improve the patients' perceived quality of healthcare services is still limited. In general, services are deeds, processes and performances that are essentially concerns of the consumer. The healthcare service quality depends on tangible factors, such as equipments, facilities, and the quality of hospital staff and also the intangible ones. The main purpose of this work is to establish new model and find out the contribution of information technology to enhance the patients' perceived quality of healthcare service. We attempted to examine the main information technology related factors in 3 aspects, namely quality of information, the technology accessibility and the community that can improve patients' perceived quality of healthcare services. Offline and online questionnaires were used to measure the patients' perceived quality and were distributed to 384 people in 2 countries, Laos and South Korea. A principle component analysis and multiple regressions were used to verify our model. Results show that the use of information technology has partial positive effect on patient-physician interaction in both countries. However, patient knowledge and patient autonomy which are the 2 dimensions of patient-physician interaction has significant positive effect on patients' perceived quality of healthcare service.

의료서비스 프로세스 혁신을 위한 환자경험과 호오손 효과 (Patient Experience and the Hawthorne Effect on Healthcare Service Process Innovation)

  • 이돈희
    • 품질경영학회지
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    • 제46권3호
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    • pp.593-606
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    • 2018
  • Purpose: The purpose of this study is to examine the Hawthorne effect on healthcare service process innovation, by investing the difference between checklist items of patients and doctors on direct clinical observations (DCO) and the retrospective clinical review (RCR). Methods: The data set consisted of 30 patients and 30 doctors respondents. T-tests were used to perform a comparative analysis of DCO and RCR items between patients and doctors by pre and post examinations. Results: The results indicate that there was a difference between the non-prior notice checklist items of the patients and doctors, while there was no difference of the post-examination checklist items between the patients and doctors. Conclusion: This study provides useful information and can be applied to the improvement of patient experience through healthcare service process innovation. The results of this study also offer practical insights about how hospitals can motivate providers to participate in healthcare service process for improved quality care by the Hawthorne effect. The study contributes to the existing knowledge of the Hawthorne effect for effective strategies for providing quality care.

포괄수가제 확대시행에 따른 의료기관 종사자의 인지도 조사 (The Study on the Recognition of Diagnosis Related Group in Healthcare Workers)

  • 박지경;이고은
    • 보건의료산업학회지
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    • 제7권4호
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    • pp.243-257
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    • 2013
  • This study was conducted in order to survey in healthcare worker's recognition of diagnosis related group(below; DRG) effect from July 1, 2012, to examine their recognition, expectation of the DRG system, and to provide the basic data necessary for the enforcement of the settlement. The subjects of this study were workers at clinics and hospitals sampled from hospital with DRG applying 7 diseases in Busan and Kyung-nam. A questionnaire of survey was conducted with the subjects working at clinics and hospitals from July, 25, 2012 to September 7, 2012, and the subjects were limited to doctors, officers, nurses, medical technicians and nurse assistants, and a total of 618 subjects were enrolled in this study. In the result of this study, generally, the healthcare workers recognized the DRG system. But their knowledge about that was not clear. Expanding enforcement DRG system at the present time, to provide accurate information to the healthcare consumer, workers need to know about DRG system clearly. To this end, for national health policy and medical institutions, workers should be educated constantly about providing medical service as well as the duty of enough explanation about the healthcare consumer's right to know.

글로벌 시대에 병원행정 관리자가 갖추어야 할 역량 (Competencies Necessary to Hospital Staffs and Managers in the Global Age)

  • 공명달
    • 대한안전경영과학회지
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    • 제18권1호
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    • pp.227-236
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    • 2016
  • Main purpose of this study is to provide some basic data necessary to research, education, and policy to cultivate professional talents, by investigating what competencies needed to hospital administrative staffs and managers in performing their jobs in the global age. A survey was conducted through self-administered questionnaires for hospital administrative staffs and managers including first-line hands-on workers who were working in 77 hospitals located in Busan, Keongnam, Ulsan areas in South Korea. Major results are as follows: (a) The analysis for the competencies needed to hospital administrative staffs and managers in order to perform successfully their jobs revealed that interpersonal competency, knowledge of management skills in healthcare field, understanding ability for healthcare, in that order of importance, had significant influence on performing their jobs. (b) Regarding the analysis for the detailed competencies necessary to hospital administrative staffs and managers in order to perform successfully their jobs revealed that problem-solving ability, sense of responsibility, positive attitude, leadership, in that order of importance, had significant influence on performing them. This study suggests that universities opened courses related to health care management should newly open a subject 'problem-solving ability in health care' to link with health care field and their curriculums are necessary to change over to practice-oriented curriculum system.

Prevention and Early Detection of Occupational Cancers - a View of Information Technology Solutions

  • Davoodi, Somayeh;Safdari, Reza;Ghazisaeidi, Marjan;Mohammadzadeh, Zeinab;Azadmanjir, Zahra
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권14호
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    • pp.5607-5611
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    • 2015
  • Thousands of people die each year from cancer due to occupational causes. To reduce cancer in workers, preventive strategies should be used in the high-risk workplace. The effective prevention of occupational cancer requires knowledge of carcinogen agents. Like other areas of healthcare industry, occupational health has been affected by information technology solutions to improve prevention, early detection, treatment and finally the efficiency and cost effectiveness of the healthcare system. Information technology solutions are thus an important issue in the healthcare field. Information about occupational cancer in information systems is important for policy makers, managers, physicians, patients and researchers; because examples that include high quality data about occupational cancer patients and occupational cancer causes are able to determine the worker groups which require special attention. As a result exposed workers who are vulnerable can undergo screening and be considered for preventive interventions.

Dynamic knowledge mapping guided by data mining: Application on Healthcare

  • Brahami, Menaouer;Atmani, Baghdad;Matta, Nada
    • Journal of Information Processing Systems
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    • 제9권1호
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    • pp.1-30
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    • 2013
  • The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper, we present a new mapping approach based on the Boolean modeling of critical domain knowledge and on the use of different data sources via the data mining technique in order to improve the process of acquiring knowledge explicitly. To evaluate our approach, we have initiated a process of mapping that is guided by machine learning that is artificially operated in the following two stages: data mining and automatic mapping. Data mining is be initially run from an induction of Boolean case studies (explicit). The mapping rules are then used to automatically improve the Boolean model of the mapping of critical knowledge.