Background/Aim: Clinical research nursing is a well-known concept in Europe and other countries. The purpose of this study was to investigate the nurses' knowledge and attitudes towards clinical research and their opinions and self-evaluation about clinical research nursing and factors affecting them. Methods: A cross sectional study was conducted at the University Clinical Centre of the Republic of Srpska (UCCRS). A questionnaire included 50 questions/ statements was created in order to address the aims of the research and afterwards distributed to 120 nurses from 6 departments. Results: Response rate was 91.6 %. Most of the respondents showed a low level of knowledge, but positive attitude related to clinical research. Nurses who participated in clinical research were confident in their competencies according to their self-evaluation. Conclusion: Systematic approach to the additional nurses education could have a significant impact on a success of clinical research.

Introduction/Objective. Nursing Activities Score (NAS) is one of the most accepted and widely used scores for assessing the workload of the nursing staff in regards of qualitative and quantitative adequacy. The aim of this study was to evaluate and analyze nursing workload in cardiac surgery intensive care unit (CSICU) using the NAS in a contemporary set of patients undergoing heart surgery. Methods. The study included 809 consecutive patients admitted to adult CSICU who had major cardiac surgery during the year of 2019. Demographic data were collected from medical records (gender, age, type of treatment, length of stay [LOS], and discharge), EuroSCORE II and NAS value. Results. The majority of patients underwent coronary (43.1%), valvular (32.6%) and combined (24.2%) cardiac surgery procedure. The average patient LOS in CSICU was 2.5 ? 3.4 days. The average NAS value in our sample was 100.8% ? 63.1%. NAS value during the first operative day was a poor marker of the outcome in terms of mortality (C-index 0.520, 95% CI - 0.422-0.617, p=0.676). Significant difference was observed in terms of average NAS value between the patients submitted to coronary surgery and combined surgery (p = 0.001). NAS has been shown to be useful for assessing activity in a CSICU, confirming the optimal workload of nurses, while higher NAS values in our hospital indicate increased workload compared to similar institutions. Conclusion. NAS provided viable information regarding the care and hospitalization of patients in a CSICU. In accordance to NAS, the optimal level of nursing workload was established in our hospital settings.

: Artificial Intelligence techniques are widely used for medical purposes nowadays. One of the crucial applications is cancer detection. Due to the sensitivity of such applications, medical workers and patients interacting with the system must get a reliable, transparent, and explainable output. Therefore, this paper examines the interpretability and explainability of the Logistic Regression Model (LRM) for breast cancer detection. We analyze the accuracy and transparency of the LRM model. Additionally, we propose an NLP-based interface with a model interpretability summary and a contrastive explanation for users. Together with textual explanations, we provide a visual aid for medical practitioners to understand the decision-making process better.

This article aims to summarise the current situation regarding digital archaeological archives in Bosnia and Herzogivina.