Showing 2 results for Keshtkar
R Ravangard, V Keshtkaran, Sh Niknam, A R Yusefi, A R Heidari,
Volume 12, Issue 3 (12-2013)
Abstract
Abstract
Background: Hospital managers' decision-making styles indicate the usual pattern managers use to make their decisions. This paper is aimed to determine the variety of managers' decision-making styles` in public and private hospitals in Shiraz.
Materials & Methods: In this cross-sectional study, 106 administrative, financial, internal and nursing managers were selected from 28 public and private hospitals through census sampling technique to participate in this study. The data were collected by a 22-item questionnaire (α = 0.86) and analyzed using T-Test and ANOVA in significance level of 0.05.
Results: Studied managers used rational decision-making style more often than avoidance of decision-making style. Older and official managers and private hospital managers used the intuitive decision-making style more often.Managers who had not attended management training courses used the intuitive and dependent decision-making styles more often. Managers who were teaching in the fields of nursing and midwifery used rational decision-making patterns more often.
Conclusion: It seems necessary to provide sufficient ground for scientific and evidence-based decision making for all hospital managers. Therefore identifying present obstacles and providing an environment in which managers could improve their decision-making skills is recommended.
Dr. Khodakaram Salimifard, Leyla Keshtkar, Mohammadsadegh Moradi,
Volume 13, Issue 3 (12-2014)
Abstract
Background: Emergency department performance can be evaluated in quantitative and qualitative criteria. Some quantitative criteria are considered such as length of stay, patient waiting time, the percentage of patients that treat in a specific time and etc. In this paper the performance of emergency department was evaluated in terms of these criteria. Then four scenarios by using simulations was proposed.
Materials & Methods: patient flow was modeled by discrete event simulation (DES) and the simulation was done by Arena software. Data was gathered randomly and patient waiting time, length of stay and the percentage of patients by noticing 6-hour boarding limit for EDs were performance criteria.
Result: The result show 70% of patients were hospitalized in ED over 6 hours and it is an important bottleneck. The fourth scenario is that best of the scenarios, that improve in waiting times for hospital admission (85%), total waiting time before hospitalization (63%) and the percentage of the beds utilization (15%).
Conclusion: the findings of this paper show that the fourth scenario has greatest improve in the process. In this scenario, to reduce waiting times for patients admitted to the emergency department as well as to reduce the high percentage of occupied beds, 3 beds and 1 nurse were added.
