Showing 3 results for Simulation
Seyedeh Bahareh Kashian, Abbas Afrazeh, Seyed Mohsen Tabatabaei, Mahmood Biglar,
Volume 10, Issue 5 (1-2017)
Abstract
Background and Aim: Modeling of organizational knowledge creation process is one of the key areas of research in knowledge management. The aim of this paper was to determine solutions for developing and improving evolutionary knowledge creation model based on the model validation results in real world.
Materials and Methods: This study was an analytical and empirical research that was done by multi case study and simulation strategy. The committee was formed to collect information from various source of data including organizational documents and interview with senior managers about knowledge creation history for 5 years in Development and Planning Management department of Tehran University of Medical Sciences. Data analysis was done using descriptive statistics and qualitative analysis. Also, the mathematical formulation was analyzed using simulation in Excel.
Results: In most of analyzed knowledge creation cases, knowledge absorption from external source through changing managers or employing consultant following integration with exist knowledge was occurred. Also, simulation results show that, mathematical relations were not well defined and changing them makes results more acceptable.
Conclusion: Knowledge grow in organization has occurred through three ways including planned knowledge creation based on managerial decisions, planned knowledge absorption based on managerial decisions, and random knowledge creation mechanism, and all of them have impact on essential knowledge contents.
Maryam Bahrami, Somayeh Mohammadi, Mostafa Roshanzadeh, Samaneh Dehghan Abnavi, Ali Taj, Fatemeh Maraki,
Volume 17, Issue 4 (10-2023)
Abstract
Background and Aim: Operating room students have experienced anxiety for various reasons that affect their educational process such as stitching. Due to the effective role of simulation in improving the education of students, this study was conducted with the aim of the effect of animal skin suturing simulation on the skill level and anxiety level of operating room students.
Materials and Methods: In this study, 30 people (75%) of the samples were aged 18-25 and 10 people (25%) of them were 26-35. 10 people (25%) were men and 30 people (75%) were women. Also, in terms of marriage, 7 people (17.5%) were married and 33 people (82.5%) were single. The present quasi-experimental study was performed with a two-group plan before and after with 40 operating room students of Shahrekord University of Medical Sciences (Shahrekord, Broujen) in 2020. The samples were randomly assigned to two test and control groups using the method based on the purpose of selection. Data were collected before and after the intervention by Spielberger Anxiety Tool and Suturing Skills Questionnaire and analyzed by SPSS software and descriptive and analytical statistical tests (Chi-square test, t-test, paired t-test).
Results: The t-test test showed that the mean of obvious anxiety in the intervention group (36.35±10.22) and the control group (41.15±7.92) after the intervention was not significant (P=0.346). Also, the mean hidden anxiety in the intervention group (36.65±10.47) and the control group (38.65±6.13) had no significant difference (P=0.089). The t-test test showed that there was a significant difference in sewing skills after the intervention in the two intervention groups (28.2±58.22) and the control group (23.42±3.12) (P=0.04).
Conclusion: The texture of suture mannequins is very different from human skin in terms of consistency, and it does not convey the same feeling of sutures on natural skin to students. On the other hand, it is easier to enter and exit and move the needle and thread in the sheepskin, and this provides the students with the possibility of stitching more easily. Therefore, it is suggested to buy and prepare sheep skin for training students and teach them stitches on it.
Mohammadreza Asghariyan, Farzad Firouzi Jahantigh,
Volume 18, Issue 4 (10-2024)
Abstract
Background and Aim: The emergency department of the hospital is considered one of its main entrances; which has provided health care and treatment for critical and non-critical patients and faces various health and treatment restrictions, but the main emphasis is always on resource limitations. Many simulation projects were implemented in hospitals and first in emergency departments with the aim of increasing productivity. The present research is a general description of the patient’s movement flow and length of stay in the emergency department of a selected specialized hospital in Zahedan city. The aim of the current research is to prevent care complications, reduce waiting time and patient stay in the emergency department, present a simulation model and improve it based on discrete-event simulation.
Materials and Methods: Using the data bank of the emergency department system based on the required data and also through the in-person observation of the data related to the duration of the patient’s stay in the emergency department, including the arrival time, waiting time, The type of services provided to the patient, the time of service and the time of departure were collected and checked and confirmed by experts related to this field so that it has the highest level of reliability with the facts. The data were designed in Excel software, and then data analysis and simulation model creation were done using Aren V14 software, and according to the results, the effect of the proposed solutions was evaluated.
Results: The findings of the present research showed that the longest queue created in the emergency department of the selected specialized hospital in Zahedan city is related to medical examination and additional tests. By implementing the simulation model and testing different solutions, solution 3, which means adding one nurse to nursing consultation and one person to radiology, has the most optimizing effect on the performance of the system at different levels of the patient admission process. and the cost of its implementation is more than solutions 1 and 2. This solution created a 14% decrease in the average length of stay and a 28% decrease in the average duration of additional tests.
Conclusion: The use of queuing models and simulation techniques improve the performance of the system and their implementation has significant effects on reducing the waiting time and length of stay of patients in the emergency department, increasing the quality level of the process of monitoring patients. It leads to optimal management of resources and increased productivity.
