Showing 5 results for esmaeili
Hosein Ebrahimipour, Ali Vajaee, Gholam-Abas Nouri, Habib-Allah Esmaeili, Sara Jamili,
Volume 14, Issue 1 (6-2015)
Abstract
Background: Process of discharging patients affects patient’s satisfaction .This is one of the serious challenges that hospital managers face. This study is aimed to determine the average waiting time of patient discharge process and identify influential factors of this process in Imam Reza Hospital in Mashhad in the year of 2014.
Materials & Methods: This is a cross-sectional survey in which waiting time of patients who had discharged from clinical wards of the Imam Reza hospital in Mashhad had been studied. 455 of patients had been selected as samples. The amount of time spent during discharge in six different departments such as inside each ward, from each ward to the medical records unit, inside the medical records unit, from medical records unit to accounting department , during cost calculation and also from cost accounting to cost payment unit) had been determined by using stop-watch method. The data had been analyzed by descriptive and analytical statistics in significant level of 0.05 using SPSS16.
Results: Results showed that waiting time was 504.26± 362.96 Minutes. Patients spent most and least proportion of their waiting time in ENT and Burns wards during discharge.
Conclusion: As noticeable number of minutes spent inside wards and cost payment unit by patients, calls for corrective interventions such as changing visit time and predicting schedules for sending medical record to accounting department could reduce waiting time.
Dr Ebrahim Jaafaripooyan, Tahere Sharifi, Dr Sara Emamgholi Poor, Dr Mir Saeed Yekani Nejad, Samaneh Esmaeili,
Volume 17, Issue 2 (9-2018)
Abstract
Background: Hospital accreditation is assumed as an effective control mechanism for health systems to improve quality and efficiency. Current study thus, seeks to look into the relationship between hospitals’ accreditation and efficiency
Materials and Methods: In order to measure efficiency, hospital inputs and outputs included the ratio of physician and nurse to bed, mortality and nosocomial infection rate and quality of inpatientservices were used. A sample of 554 hospitalized patients selected using stratified random sampling
method. Data gathering instruments were researcher-developed questionnaire and checklists. DEAP and SPSS software deployed to assess correlation between accreditation rank and technical efficiency
Results: Average hospitals’ technical efficiency score was 0.94 indicating an improvement capacityof %5.1 for hospitals efficiency. The mean quality score was 4.13 out of 5( in the range of 3.9-4.3)There was no correlation between hospitals accreditation rank and their technical efficiency
Conclusion: According to the results, it seems efficiency should be also considered in accreditationmetrics. In addition, for measuring efficiency, performance based inputs and specifically outputs tohave reliable results should be chosen
Seyed Hadi Hosseini, Mohammad Hadi Mousavi, Mostafa Esmaeili,
Volume 20, Issue 4 (12-2021)
Abstract
Introduction: Hospitals have conflicts because of their complex nature, so they need managers with high emotional intelligence for effective conflict management. There are contradictory results in the correlations between demographic characteristics, emotional intelligence and conflict management; therefore, this study was conducted to investigate the correlation between them in different managerial levels of the hospitals.
Material & Methods: This analytical observational study was conducted on 100 senior and middle level managers (samples) of 8 selected hospitals affiliated to Tehran University of Medical Sciences in 2019. We used a three-part questionnaire: Demographic characteristics, Emotional intelligence and Conflict management strategies, to collect data. SPSS 20 and statistical correlation tests including Pearson, t-test and analysis of variance were used for data analysis.
Findings: There was a significant direct relationship between the mean score of emotional intelligence and its domains with problem-solving strategy (P <0.001). Also, statistically significant correlations were observed between age, marital status, major, organizational position, and work experience in a managerial position with emotional intelligence (P <0.05). In addition, there was a direct and statistically significant relationship between avoiding and problem-solving strategies with age and work experience, respectively (P <0.05).
Discussion& Conclusion: It is necessary to take appropriate action to raise emotional intelligence and improve conflict management in hospitals, and according to the significant and direct relationships that observed, we can pay attention to select relevant managers for the hospitals.
Beheshteh Jebelli, Mohammad Varahram, Mehdi Kazempour-Dizaji, Shirin Esmaeili, Habib Emami, Elham Ghazanchaei,
Volume 20, Issue 4 (12-2021)
Abstract
Introduction: After the increase in the incidence and global spread of Covid-19 virus, medical centers faced a number of problems and challenges following this crisis. In order to increase the quality and safety of medical services and their optimal management, both in critical and non-critical situations, health care providers in different countries of the world have used various methods that increase the organizational commitment to improve quality.
Method: This study is a cross-sectional analytical research. Data were collected through a researcher-made questionnaire based on 903 accreditation standards notified by the Ministry of Health by available sampling method from 326 employees of Masih Daneshvari Center in 2021. Data were analyzed using SPSS software version 22.
Results: The results showed that out of an average of 8 areas related to accreditation standards, participants in the areas of professional ethics and compliance with the recipient of services, infection control, environmental health and waste management mentioned the most compliance in the emergency situation caused by Covid-19 and areas of clinical management and patient safety were ranked next.
Discussion and conclusion: According to the participants, observing the areas of environmental health and waste, service recipients and infection control has been more practical during Corona pandemic. The principles of accreditation seem to be accepted as quality improvement standards and can be an effective guide in preparing medical centers for emergency conditions.
Mohammadreza Shahraki, Hamidreza Esmaeili,
Volume 22, Issue 4 (1-2024)
Abstract
Background and Purpose: Artificial intelligence (AI) plays a crucial role in the optimal management of hospital waste, particularly in predicting the volume and type of waste generated. This study aims to identify and rank the risks associated with the use of AI systems in hospital waste management by employing a multi-criteria decision-making approach.
Methods: This descriptive, cross-sectional study was conducted in 2023 (1402 in the Iranian calendar) at two hospitals, Ali Ibn Abitaleb and Khatam al-Anbiah, in Zahedan. Ten hospital staff members were selected as expert participants for the Delphi panel. The Shannon entropy method was utilized for risk weighting, and the TOPSIS method was applied to rank the identified risks.
Results: Kendall's coordination coefficient was used to assess the level of consensus among the Delphi panel members, with the coefficient values for the first, second, and third Delphi rounds being 6.3, 7.1, and 7.3, respectively. The indicators were weighted using the Shannon entropy method, based on three criteria: impact intensity (0.3), probability of occurrence (0.4), and detection probability (0.32). The TOPSIS method was then employed to rank the identified risks, with the most significant risks being the need for necessary infrastructure (0.847), the requirement for accurate and complete data (0.751), and budget constraints (0.749).
Conclusion: By applying multi-criteria decision-making methods, healthcare managers can effectively identify and prioritize the risks associated with using AI systems in hospital waste management, enabling them to focus on strengthening waste management practices based on these priorities.
