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Showing 5 results for Criteria

Alireza Arab, Armin Monirabbasi, Bagher Dastyar,
Volume 15, Issue 2 (6-2016)
Abstract

Background: Partnership between public and private section is the cooperation between institutions in these sectors which perform to attain common goals and eliminate the limitations. This study aimed at investigating the important criteria for attraction of private section in health sector.

Material and Methods: Based on studies and sample surveys, governments have essential role for codification of health policies and special programs in any country. In recent years, the costs of delivered health services increased exponentially and governments are looking for alternative mechanisms for cost reduction; meanwhile, the increased capacity in social programs is accompanied with considerable investments in infrastructures. This article investigated the utilization of different models by previous literature assessment in public- private partnership field and determined key and substantial criteria for these projects' success /failure. Although, the experience of their implementation is still very limited in our country and there is no accurate assessment based on case studies.

Results: Based on study results, some criteria like possibility of returning part of participation costs in tendering for tender, goals and responsibility's clarity, fair and correct mutual risk attocation , lower public costs through less incumbency, private section motivation, clear mechanism monitoring ,conflict resolution and supporting policies from private investment have essential role for successful public- private partnership which special attention should  be drawn.

Conclusion: Governments can have a suitable partnership with private sector in order to prevent increasing costs in rebuilding, maintenance and operation of public facilities like hospitals, considering budget limitations in public sector, providing innovation through opportunism in private section and more efficient risk management.


Sahba Sarvandi, Kambiz Shahroodi,
Volume 15, Issue 3 (8-2016)
Abstract

Background: Enhancing the need for health care services and its related costs, lead hospitals to improve and organize their processes. The aim of current study was to assess the Patients' Hospitalization and Discharge Processes Based on Kaizen approach and Multiple-Criteria Decision Making (MCDM) in an internal ward of one Hospital.

Materials and Methods: In this descriptive analytical study, ten managers completed the hospitalization and discharge questionnaires and answered three open questions according to Kaizen principles. Then, satisfaction score was measured for 100 patients using a reliable questionnaire (α=0.93). At third phase, after evaluating the proposed solutions using Analytic Hierarchy Process (AHP), the managers prioritized them based on cost, time and effectiveness considering indicators.

Results: Study findings revealed that mean scores of activity in hospitalization and discharge processes were 88.52 and 90.33 (out of 100) respectively, which showed high conformity with Kaizen approach. Also, mean scores of hospitalization and discharge satisfaction which indicated desirable satisfaction were 76.75 and 78.6 (out of 100), respectively. Based on managers' view points, results of MCDM and AHP methods indicated that effectiveness was the most important indicator and time as well as cost gained next priorities for solutions implementation.

Conclusion: This study showed that although, hospitalization and discharge processes were relatively desirable in the internal ward in mentioned hospitals, it is still a necessary to seek the best solutions in terms of effectiveness, time and cost for patients' satisfaction.


Rouhangiz Asadi, Dr Masoud Etemadian, Dr Pejman Shadpour, Fatemeh Semnani,
Volume 16, Issue 4 (2-2018)
Abstract

Background: In recent years, Hashemi Nejad Hospital was outsourced or insourced some of their services to private sector or will have decision to do it. Selection and assessment of suppliers in outsourcing of hospital services is a critical issue. In this study, selecting and evaluating suppliers for outsourcing services in hospitals was evaluated.
Materials and Methods: In order to achieve the goal, evaluating and selecting outsourcing service providers with studies and using opinion of the experts and medical experts, consisting of hospital manager, quality manager, HR managers, officials outsourced parts and other experts in this respect which includes 14 criteria. Identified criteria were clustered in three areas of service features, characteristics and criteria for communications suppliers in the supply chain; supplier selection problem is the problem multi-criteria decision. So, criteria were ranked and weighted using the Expert choice 11 software and AHP.
Results: Based on the study results, sub-criteria of the quality of service, management systems, customer care, and information security had greatest impact on the selection of suppliers and sub-criteria, geographic location, flexibility and problem solving had the lowest priority.
Conclusion: C supplier had the highest priority according to the communication criteria and A supplier had the highest priority according to two other criteria. In total, the supplier A had the first priority, supplier B had the second priority and supplier C had the third priority.


Ali Moradi, Khaled Rahmani, Dr Ebrahim Jaafaripooyan, Rasoul Yarahmadi,
Volume 17, Issue 1 (5-2018)
Abstract

Introduction: Since incorrect selection of  a manager might lead to incorrect choices of other members, organizations need to consider this important issue  and use well-sought mechanisms for managers’ selection process. Accordingly, this study aims to rank the key factors associated with the selection of operational managers in Tehran University of Medical Sciences.
 
Materials and Methods: This research employed a logical and systematic trend to develop and rank the indicators using fuzzy TOPSIS method. In order for prioritization of key indicators of qualification of operational-level;  after reviewing the literature and using experts’ viewpoints , the dimensions of performance have been selected and using, the SMART technique the key criteria were weighted. A validated and reliable questionnaire was used for data collection.
 
Results: Fifty individuals participated in this study. 37 (74%) and 13 (26%) were male and female respectively. The mean and standard deviation of age of participants were 41.68 and 7.06 years. Literature reviews and related studies indicated 48 indices  for choosing qualified managers. Among these, according to the  expert’s opinion in management science and managers, 36 indices were selected as key indicators. Based on the FTOPSIS analysis, indicators of higher education in the field of management, compliance time, power of expression, adornment and belief in law and order achieved coefficients as 0.205, 0.204, 0.203, 0.202 and 0.197, rank first to fifth.
 
Conclusion: According to the results management related education and expertise in technical aspects of organizational management control  were at the top of ranking . Results of this study can help  medical universities and health service organizations to develop guidelines for selecting their managers.


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.

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