Objectives: Education in biomedical and health informatics is essential for managing complex healthcare systems, bridging the gap between healthcare and information technology, and adapting to the digital requirements of the healthcare industry. This review presents the current status of biomedical and health informatics education domestically and internationally and proposes recommendations for future development. Methods: We analyzed evidence from reports and papers to explore global trends and international and domestic examples of education. The challenges and future strategies in Korea were also discussed based on the experts’ opinions. Results: This review presents international recommendations for establishing education in biomedical and health informatics, as well as global examples at the undergraduate and graduate levels in medical and nursing education. It provides a thorough examination of the best practices, strategies, and competencies in informatics education. The review also assesses the current state of medical informatics and nursing informatics education in Korea. We highlight the challenges faced by academic institutions and conclude with a call to action for educators to enhance the preparation of professionals to effectively utilize technology in any healthcare setting. Conclusions To adapt to the digitalization of healthcare, systematic and continuous workforce development is essential. Future education should prioritize curriculum innovations and the establishment of integrated education programs, focusing not only on students but also on educators and all healthcare personnel in the field. Addressing these challenges requires collaboration among educational institutions, academic societies, government agencies, and international bodies dedicated to systematic and continuous workforce development.

Objectives: Academic electronic medical records (AEMRs) can be utilized for a variety of educational programs that can enhance nursing students’ nursing informatics and clinical reasoning competencies. This study aimed to identify the applicability and effectiveness of simulation education incorporating AEMRs. Methods: We developed simulation education scenarios incorporating AEMRs and evaluated them with 76 third- and fourth-year nursing students from five nursing schools using a mixed-methods design. We incorporated three simulation case scenarios involving preeclampsia, diabetes mellitus, and myocardial infarction into the AEMRs. After the simulation education, participants’ feedback on the usability of the AEMR system and their self-efficacy for AEMR utilization were collected via self-reported surveys. Subsequently, the simulation education incorporating AEMRs was evaluated through a focus group interview. The survey data were examined using descriptive statistics, and thematic analysis was done for the focus group interview data. Results: The average mean scores for the AEMR system’s usability and participants’ self-efficacy for AEMR utilization were 5.36 of 7 and 3.96 of 5, respectively. According to the focus group interviews, the participants were satisfied with the simulation education incorporating AEMRs and recognized their confidence in AEMR utilization. In addition, participants addressed challenges to simulation education incorporating AEMRs, including the need for pre-education and AEMR utilization difficulties. Conclusions Nursing students weresatisfied with and recognized the value of simulation education incorporating AEMRs. Although the actual application ofsimulation education incorporating AEMRs remains challenging, further research can help develop and implement this approachfor nursing students.

Objectives: This study explored the current status of nursing informatics education in South Korea and developed a standardized curriculum for it. Methods: Data were collected in two stages: first, an online survey conducted from December 2020 to February 2021 among 60 nursing schools to analyze the current status of nursing informatics education; and second, a two-round Delphi survey with 15 experts from March to April 2021 to determine the mean and standard deviation of the demand for each learning objective in nursing informatics education. A standardized curriculum proposal was developed based on the results of the two-round Delphi survey. Results: Nursing informatics was most commonly taught in the fourth year (34%), with two credits. The proportion of elective major subjects was high in undergraduate and graduate programs (77.4% and 78.6%, respectively), while the proportion of nursing informatics majors was low (21.4%). The curriculum developed included topics such as nursing information system-related concepts, definitions and components of healthcare information systems, electronic medical records, clinical decision support systems, mobile technology and health management, medical information standards, personal information protection and ethics, understanding of big data, use of information technology in evidence-based practice, use of information in community nursing, genome information usage, artificial intelligence clinical information systems, administrative management systems, and information technology nursing education. Conclusions Nursing informatics professors should receive ongoing training to obtain recent medical information. Further review and modification of the nursing informatics curriculum should be performed to ensure that it remains up-to-date with recent developments.

Purpose: This study aimed to identify the modifiable factors affecting breastfeeding planning and duration among healthy mothers and their use of breastfeeding information resources. Methods: A cross-sectional survey was conducted in a community setting. Four hundreds participants were recruited at five pediatric clinics and three community health centers located in Paju-si and Goyang-si, Gyeonggi-do, between January and May 2019. Based on the breastfeeding decision-making model, driven by Martens and Young’s work, the survey items consisted of demographics, childbirth and breastfeeding characteristics, and breastfeeding information resources. In the analysis, 389 responses were used in the t-test, ANOVA, and logistic regression. Information resource networks were compared before and after childbirth including a subgroup analysis depending on the breastfeeding duration. Results: The modifiable factors affecting breastfeeding planning and duration were antenatal and postpartum breastfeeding education and the provision of information in the hospital.The frequency of Internet use and websites visited were notable and potentially modifiable factors, which were also observed in the networks showing different relationship patterns according to participant subgroups and times. The childbirth event increased the centralization of the network in the planned group, while the network of the non-planned group was more diffused after childbirth. The network of the short-term breastfeeding group was characterized by a more centralized pattern and the resources of high betweenness centrality than the long-term group. Conclusion Breastfeeding education is a consistent factor that affects breastfeeding behavior. A well-designed internet-based approach would be an effective nursing intervention to meet the needs of women seeking breastfeeding information and changing their behaviors.

Purpose: This study aimed to identify the modifiable factors affecting breastfeeding planning and duration among healthy mothers and their use of breastfeeding information resources. Methods: A cross-sectional survey was conducted in a community setting. Four hundreds participants were recruited at five pediatric clinics and three community health centers located in Paju-si and Goyang-si, Gyeonggi-do, between January and May 2019. Based on the breastfeeding decision-making model, driven by Martens and Young’s work, the survey items consisted of demographics, childbirth and breastfeeding characteristics, and breastfeeding information resources. In the analysis, 389 responses were used in the t-test, ANOVA, and logistic regression. Information resource networks were compared before and after childbirth including a subgroup analysis depending on the breastfeeding duration. Results: The modifiable factors affecting breastfeeding planning and duration were antenatal and postpartum breastfeeding education and the provision of information in the hospital.The frequency of Internet use and websites visited were notable and potentially modifiable factors, which were also observed in the networks showing different relationship patterns according to participant subgroups and times. The childbirth event increased the centralization of the network in the planned group, while the network of the non-planned group was more diffused after childbirth. The network of the short-term breastfeeding group was characterized by a more centralized pattern and the resources of high betweenness centrality than the long-term group. Conclusion Breastfeeding education is a consistent factor that affects breastfeeding behavior. A well-designed internet-based approach would be an effective nursing intervention to meet the needs of women seeking breastfeeding information and changing their behaviors.

Purpose: The purpose of this study was to investigate the influence and relationship among anxiety, depression, self-esteem, and quality of life, along with factors affecting quality of life, on patients with rheumatoid arthritis. Methods: This study was a cross-sectional descriptive study, and 200 individuals with rheumatoid arthritis who visited a single university hospital as outpatients were recruited through convenience sampling. Using a structured questionnaire, a survey was conducted regarding the general characteristics, anxiety, depression, self-esteem, and quality of life. Collected data were analyzed using t-test, ANOVA, and regression analysis. Results: Results showed that lower levels of anxiety or depression and higher levels of self-esteem were associated with improved quality of life. Depression was identified as the main factor affecting quality of life, followed by anxiety, glucocorticoid treatment, time elapsed after diagnosis, and occupational status. Conclusion These findings confirmed that depression, anxiety, and glucocorticoid medication are factors influencing quality of life in patients with rheumatoid arthritis, Duration since diagnosis, and occupation should be considered in order to improve the quality of life of these patients with rheumatoid arthritis. The occupation and treatment-related characteristics of the patients must be considered, with particular focus on depression and anxiety.

Purpose: Despite research efforts, current fall rates are still higher than expected. To approach this problem, we developed guidelines on preventing falls in hospitals. Methods: Four guidelines were selected by the K-AGREE II process. Recommendations from each guideline were retrieved and evaluated based on the quality of evidence and the strength of the recommendations. Recommendations followed the grading system of the Korean Hospital Nurses Association’s Guideline Adaptation Manual. In the external review, 13 practice nurses from 5 hospitals and 13 panel experts including doctors, nursing managers, and pharmacists participated. Results: The final guideline consisted of 5 sections and 341 recommendations. The first two sections were composed of recommendations for institutional readiness for change process and management, and Section 3 was divided into assessment of risk factors, preventive intervention and post-fall management. The summary of falls risk factors included seven components. Multifaceted interventions were modeled into six strategies. The final sections consisted of recommendations for implementing fall improvement programs and for sustaining effective prevention programs. Conclusion Given that falls result from various combinations of risk factors, the present guideline contains multifaceted assessments and interventions including risk-targeted strategy. This guideline will contribute to decreasing fall rates in hospitals by stimulating compliance with evidence-based practice.

PURPOSE: This study was conducted to develop an empowering education program for Maternal-Fetal Intensive Care Unit (MFICU) nurses who provide intensive care to high-risk mother and fetus at hospitals, to test effects of the education program on nursing care confidence and nursing knowledge, and to examine program satisfaction. METHODS: This study comprised of 2 phases: program development and evaluation. First, we have followed a process of program development to develop and refine an empowering education program for MFICU nurses through collaborative works among clinical obstetrics and gynecology doctors and nurses and academic nursing professors. Second, the empowering education program was provided to 49 nurses and evaluated from July 5 to 6, 2019. Levels of MFICU nursing care confidence and knowledge were measured. RESULTS: The empowering education program included 18 hours of lectures, discussion, and Q & A, which continued for 2 days. This program significantly improved high-risk maternal-fetal nursing care confidence and knowledge of nurses. The program was well met with nurses' education need and goals, and found to be highly satisfactory. CONCLUSION: The empowering education program was observed to be effective in terms of improve nursing care confidence and knowledge of nurses in MFICU. It is proposed that this program should be open regularly for nurses to obtain and improve their clinical knowledge, confidence, and competency. Further study is needed to develop and run 2-levels of education such as basic and advanced levels based on nurses' clinical background and competency.
Critical Care ; Education ; Fetus ; Gynecology ; Humans ; Intensive Care Units ; Lectures ; Mothers ; Nursing ; Nursing Care ; Obstetrics ; Pregnancy, High-Risk ; Program Development

OBJECTIVES: The usability of clinical information systems (CISs) is known to be an essential consideration in ensuring patient safety as well as integrating clinical flow. This study aimed to determine how usability and safety guidelines of CIS consider clinical workflow through a systematic review in terms of the target systems, methodology, and guideline components of relevant articles. METHODS: A literature search was conducted for articles published from 2000 to 2015 in PubMed, Cochrane, EMBASE, Web of Science, and CINAHL. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement method was employed. Articles containing recommendations, principles, and evaluation items for CIS usability and safety were included. The selected articles were classified according to article type, methodology, and target systems. Taking clinical workflow into consideration, the components of guidelines were extracted and classified. RESULTS: A total of 7,401 articles were identified by keyword search. From the 76 articles remaining after abstract screening, 15 were selected through full-text review. Literature review (n = 7) was the most common methodology, followed by expert opinions (n = 6). Computerized physician order entry (n = 6) was the most frequent system. Four articles considered the entire process of clinical tasks, and two articles considered the principles of the entire process of user interface affecting clinical workflow. Only two articles performed heuristic evaluations of CISs. CONCLUSIONS: The usability and safety guidelines of CISs need improvement in guideline development methodology and with consideration of clinical workflow.
Expert Testimony ; Heuristics ; Hospital Information Systems ; Information Systems* ; Mass Screening ; Medical Order Entry Systems ; Methods ; Patient Safety ; User-Computer Interface