Development of Reinforcement of Resilience and Relation Program for New Nurses / 임상간호연구

Purpose@#The purpose of this study was to develop a program for reinforcing the resilience of new nurses and relation-oriented organizational culture. @*Methods@#An Intervention Research (IR) model was used to develop a program. Literature review, focus group interviews with nurses and need surveys were conducted from August to December 2018. Based on the results of the investigation, the researcher developed the content of a program. The program was revised by nurse managers for the content validation. Results: According to the results of the need surveys, 58.8% of the participants thought relation-oriented culture was the most ideal, and 61.8% of the participants wanted to participate in a program for organizational culture improvement. In the focus group interview, not only new nurses but also wards and nursing organizations should be a target subject of the program. Reinforcement of resilience and relation (3R) program was developed as a one-year course, which includes a ‘mentor-mentee’ program and a ‘thanks’ program. Conclusion: It would contribute to improving the resilience of new nurses and creating a relation-oriented organizational culture by 3R program.The 3R program could play a role as expanded program from an existing pragmatic short-term training program for improving the competencies or communication skills of new nurses.

Influence of Nursing Organization Culture on Resilience in New Nurses / 임상간호연구

PURPOSE: The purpose of this study was to identify the influence of nursing organization culture on resilience of new nurses. METHODS: Participants were 1,033 new nurses with careers of less than 12 months and who were from 43 general hospitals located in Seoul, Incheon, other metropolitan cities and provinces in Korea. The data were analyzed using t-test, ANOVA, Pearson correlation coefficient and multiple regression with SPSS/WIN 24.0 program. RESULTS: Relation-oriented culture was scored highest for perception of organizational culture by new nurses (3.35), followed by hierarchy-oriented culture (3.19), innovation-oriented culture (3.12), and task-oriented culture (2.73). The score for resilience of the new nurses was 3.49, and the first subcategories were interpersonal relationship ability 3.66, self-positivity 3.45, and self-control ability 3.36. Relation-oriented culture (β=.30, p < .001) was the most significant factor influencing resilience of new nurses, followed by innovation-oriented culture (β=.14, p=.001), hierarchy-oriented culture (β=.12, p < .001), task-oriented culture (β=−.10, p=.003) in that order (R2(adj. R2)=.16, F=47.04, p < .001). CONCLUSION: Findings show that for improved resilience in new nurses it is necessary to develop relation-oriented culture to provide a cooperative work environment( friendly interpersonal relation and dialogue) for new nurses and to encourage involvement of these members in the hospital culture.

Implementation of a Next-Generation Electronic Nursing Records System Based on Detailed Clinical Models and Integration of Clinical Practice Guidelines / 대한의료정보학회지

OBJECTIVES: The purpose of this paper is to describe the components of a next-generation electronic nursing records system ensuring full semantic interoperability and integrating evidence into the nursing records system. METHODS: A next-generation electronic nursing records system based on detailed clinical models and clinical practice guidelines was developed at Seoul National University Bundang Hospital in 2013. This system has two components, a terminology server and a nursing documentation system. RESULTS: The terminology server manages nursing narratives generated from entity-attribute-value triplets of detailed clinical models using a natural language generation system. The nursing documentation system provides nurses with a set of nursing narratives arranged around the recommendations extracted from clinical practice guidelines. CONCLUSIONS: An electronic nursing records system based on detailed clinical models and clinical practice guidelines was successfully implemented in a hospital in Korea. The next-generation electronic nursing records system can support nursing practice and nursing documentation, which in turn will improve data quality.

Integration of Evidence into a Detailed Clinical Model-based Electronic Nursing Record System / 대한의료정보학회지

OBJECTIVES: The purpose of this study was to test the feasibility of an electronic nursing record system for perinatal care that is based on detailed clinical models and clinical practice guidelines in perinatal care. METHODS: This study was carried out in five phases: 1) generating nursing statements using detailed clinical models; 2) identifying the relevant evidence; 3) linking nursing statements with the evidence; 4) developing a prototype electronic nursing record system based on detailed clinical models and clinical practice guidelines; and 5) evaluating the prototype system. RESULTS: We first generated 799 nursing statements describing nursing assessments, diagnoses, interventions, and outcomes using entities, attributes, and value sets of detailed clinical models for perinatal care which we developed in a previous study. We then extracted 506 recommendations from nine clinical practice guidelines and created sets of nursing statements to be used for nursing documentation by grouping nursing statements according to these recommendations. Finally, we developed and evaluated a prototype electronic nursing record system that can provide nurses with recommendations for nursing practice and sets of nursing statements based on the recommendations for guiding nursing documentation. CONCLUSIONS: The prototype system was found to be sufficiently complete, relevant, useful, and applicable in terms of content, and easy to use and useful in terms of system user interface. This study has revealed the feasibility of developing such an ENR system.

Integration of Evidence into a Detailed Clinical Model-based Electronic Nursing Record System / 대한의료정보학회지

OBJECTIVES: The purpose of this study was to test the feasibility of an electronic nursing record system for perinatal care that is based on detailed clinical models and clinical practice guidelines in perinatal care. METHODS: This study was carried out in five phases: 1) generating nursing statements using detailed clinical models; 2) identifying the relevant evidence; 3) linking nursing statements with the evidence; 4) developing a prototype electronic nursing record system based on detailed clinical models and clinical practice guidelines; and 5) evaluating the prototype system. RESULTS: We first generated 799 nursing statements describing nursing assessments, diagnoses, interventions, and outcomes using entities, attributes, and value sets of detailed clinical models for perinatal care which we developed in a previous study. We then extracted 506 recommendations from nine clinical practice guidelines and created sets of nursing statements to be used for nursing documentation by grouping nursing statements according to these recommendations. Finally, we developed and evaluated a prototype electronic nursing record system that can provide nurses with recommendations for nursing practice and sets of nursing statements based on the recommendations for guiding nursing documentation. CONCLUSIONS: The prototype system was found to be sufficiently complete, relevant, useful, and applicable in terms of content, and easy to use and useful in terms of system user interface. This study has revealed the feasibility of developing such an ENR system.

Seoul National University Bundang Hospital's Electronic System for Total Care / 대한의료정보학회지

OBJECTIVES: Seoul National University Bundang Hospital, which is the first Stage 7 hospital outside of North America, has adopted and utilized an innovative and emerging information technology system to improve the efficiency and quality of patient care. The objective of this paper is to briefly introduce the major components of the SNUBH information system and to describe our progress toward a next-generation hospital information system (HIS). METHODS: SNUBH opened in 2003 as a fully digital hospital by successfully launching a new HIS named BESTCare, "Bundang hospital Electronic System for Total Care". Subsequently, the system has been continuously improved with new applications, including close-loop medication administration (CLMA), clinical data warehouse (CDW), health information exchange (HIE), and disaster recovery (DR), which have resulted in the achievement of Stage 7 status. RESULTS: The BESTCare system is an integrated system for a university hospital setting. BESTCare is mainly composed of three application domains: the core applications, an information infrastructure, and channel domains. The most critical and unique applications of the system, such as the electronic medical record (EMR), computerized physician order entry (CPOE), clinical decision support system (CDSS), CLMA, CDW, HIE, and DR applications, are described in detail. CONCLUSIONS: Beyond our achievement of Stage 7 hospital status, we are currently developing a next-generation HIS with new goals of implementing infrastructure that is flexible and innovative, implementing a patient-centered system, and strengthening the IT capability to maximize the hospital value.

Seoul National University Bundang Hospital's Electronic System for Total Care / 대한의료정보학회지

OBJECTIVES: Seoul National University Bundang Hospital, which is the first Stage 7 hospital outside of North America, has adopted and utilized an innovative and emerging information technology system to improve the efficiency and quality of patient care. The objective of this paper is to briefly introduce the major components of the SNUBH information system and to describe our progress toward a next-generation hospital information system (HIS). METHODS: SNUBH opened in 2003 as a fully digital hospital by successfully launching a new HIS named BESTCare, "Bundang hospital Electronic System for Total Care". Subsequently, the system has been continuously improved with new applications, including close-loop medication administration (CLMA), clinical data warehouse (CDW), health information exchange (HIE), and disaster recovery (DR), which have resulted in the achievement of Stage 7 status. RESULTS: The BESTCare system is an integrated system for a university hospital setting. BESTCare is mainly composed of three application domains: the core applications, an information infrastructure, and channel domains. The most critical and unique applications of the system, such as the electronic medical record (EMR), computerized physician order entry (CPOE), clinical decision support system (CDSS), CLMA, CDW, HIE, and DR applications, are described in detail. CONCLUSIONS: Beyond our achievement of Stage 7 hospital status, we are currently developing a next-generation HIS with new goals of implementing infrastructure that is flexible and innovative, implementing a patient-centered system, and strengthening the IT capability to maximize the hospital value.

Predictive Bayesian Network Model Using Electronic Patient Records for Prevention of Hospital-Acquired Pressure Ulcers

PURPOSE: The study was designed to determine the discriminating ability of a Bayesian network (BN) for predicting risk for pressure ulcers. METHODS: Analysis was done using a retrospective cohort, nursing records representing 21,114 hospital days, 3,348 patients at risk for ulcers, admitted to the intensive care unit of a tertiary teaching hospital between January 2004 and January 2007. A BN model and two logistic regression (LR) versions, model-I and -II, were compared, varying the nature, number and quality of input variables. Classification competence and case coverage of the models were tested and compared using a threefold cross validation method. RESULTS: Average incidence of ulcers was 6.12%. Of the two LR models, model-I demonstrated better indexes of statistical model fits. The BN model had a sensitivity of 81.95%, specificity of 75.63%, positive and negative predictive values of 35.62% and 96.22% respectively. The area under the receiver operating characteristic (AUROC) was 85.01% implying moderate to good overall performance, which was similar to LR model-I. However, regarding case coverage, the BN model was 100% compared to 15.88% of LR. CONCLUSION: Discriminating ability of the BN model was found to be acceptable and case coverage proved to be excellent for clinical use.