Policy Brief
Health Information management
Maryam Avizhgan; Maryam Avizhgan
Abstract
Social accountability in the health system, as a commitment of educational institutions to meet the real needs of society, has today become one of the fundamental pillars of transformation in medical education. The proposed policy options in this regard have been developed based on the experiences of ...
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Social accountability in the health system, as a commitment of educational institutions to meet the real needs of society, has today become one of the fundamental pillars of transformation in medical education. The proposed policy options in this regard have been developed based on the experiences of 15 faculty members of Isfahan University of Medical Sciences who have expressed the challenges and operational solutions for institutionalizing this concept. The findings of the qualitative study showed that the current medical education system faces several obstacles, including traditional management structures, lack of effective incentives for professors, weakness in real community participation, and lack of coherence in curricula.The proposed solutions for promoting social accountability in the medical education system are categorized into four main axes: first, empowering professors as social role models through reviewing the promotion system and creating tangible incentives. second, designing an integrated social accountability management system by forming specialized committees and developing a strategic document. Third, reengineering curricula with an emphasis on communication skills and social responsibility; and fourth, developing cross-sector partnerships with industry and community-based organizations. Successful implementation of these strategies requires addressing challenges such as resistance to change, budget constraints, generational differences in faculty attitudes, and the need for time to build social trust. By explaining operational strategies, this study emphasizes the need for gradual and comprehensive action that can help medical schools fulfill their social mission.
Original Article
Health Information management
seyedhasan mousavi; serajodin mohebi; hassan soltani; soheila jokar
Abstract
Introduction: The present study was conducted with the aim of designing and presenting a model of public policy-making in the field of health with an emphasis on cultural components (case study: Chaharmahal and Bakhtiari University of Medical Sciences).Methods: This study is a mixed-method (qualitative-quantitative) ...
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Introduction: The present study was conducted with the aim of designing and presenting a model of public policy-making in the field of health with an emphasis on cultural components (case study: Chaharmahal and Bakhtiari University of Medical Sciences).Methods: This study is a mixed-method (qualitative-quantitative) research. The statistical population includes professors and policy experts who have needed information in the field of policymaking and interpretation of health system policies. They were identified and their opinions were used in the qualitative section. In this study, using purposive sampling method and considering the saturation law, 15 people were selected as a statistical sample. Inductive qualitative content analysis was used to analyze the qualitative data of the study. In this plan, the analysis stages of the collected qualitative data were carried out in three stages: open coding, axial coding, and selective coding.Findings: The results of data analysis show that 77 subcategories were identified and extracted, which were categorized into main categories including causal factors, underlying conditions, intervening factors, strategies, and consequences of the public policy-making model in the health field, with an emphasis on cultural components.Conclusion: Policymaking in the field of health is affected by different factors that require management and analysis before implementing these policies.Key message: To improve and promote public policymaking in the health sector, we need strategies that are helpful in both determining policymaking and implementing it. In fact, strategies for determining and properly implementing a public policymaking model in the health sector are needed that take into account the role of cultural components and pay special attention to cultural components in implementing and operationalizing policies.
Original Article
Health Information management
Mehdi Pour; Morteza Rojuee; Seyed Morteza Ghayour Baghbani; Shapour Badiee Aval
Abstract
Given the importance of value creation in business and the increasing role of big data, the adoption of big data-driven value creation models has been emphasized over the past decade. Accordingly, this study aims to assess big data capabilities preparedness with a focus on the successful implementation ...
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Given the importance of value creation in business and the increasing role of big data, the adoption of big data-driven value creation models has been emphasized over the past decade. Accordingly, this study aims to assess big data capabilities preparedness with a focus on the successful implementation of these models in Medical tourism.Methods: This study is applied in terms of purpose and descriptive-correlational in design, conducted using a cross-sectional approach in 2024. The statistical population consisted of managers of medical tourism healthcare centers in Mashhad, Iran, who were included through a census sampling method. Data were collected using a researcher-developed questionnaire distributed among the center managers. The instrument’s validity was confirmed through confirmatory factor analysis, and its reliability was established using Cronbach’s alpha and composite reliability coefficients. Descriptive statistics were employed for data summarization, while structural equation modeling (SEM) was used to test the research hypotheses. Due to the limited sample size, the non-parametric Partial Least Squares (PLS) approach was implemented using SmartPLS software.Results: T The overall readiness of big data capabilities (mean = 2.28)—along with analytical capabilities (mean = 2.12), managerial capabilities (mean = 2.14), and infrastructure (mean = 2.49)—was below the theoretical midpoint of 3, indicating a low level of preparedness. Infrastructure, analytical capabilities, and managerial capabilities exerted the strongest influence on overall readiness, with path coefficients of 0.540, 0.300, and 0.192, respectively.Conclusion: Improving the readiness level of all capabilities—considering their respective impacts on overall readiness—should be prioritized by first enhancing big data infrastructure, followed by analytical and managerial capabilities. This can be achieved through the implementation and integration of diverse data sources, adoption of advanced analytical capabilities, and fostering a stronger data-driven organizational culture.
بیان دیدگاه
Health Information management
نامه name; Mohammad Hossein Yarmohammadian; Atighechian Golrokh
Abstract
The COVID-19 pandemic has been experienced as a health crisis and a strong benchmark for measuring the resilience of health systems around the world. Focusing on the findings of a comparative study of some of the more successful countries in crisis management, this perspective emphasizes the strategy ...
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The COVID-19 pandemic has been experienced as a health crisis and a strong benchmark for measuring the resilience of health systems around the world. Focusing on the findings of a comparative study of some of the more successful countries in crisis management, this perspective emphasizes the strategy that the Iranian health system needs a paradigm shift from a “treatment-oriented” approach to a “health-oriented and preventive” system. Focusing on this approach, the experiences of successful countries indicate that investing simultaneously in the three axes of “transparency”, “strengthening primary health care”, and “increasing social capital” is the way out of the ineffective cycle of crisis management. This article encourages policymakers and researchers in the field of health to redefine research priorities, policies, and programs of the health system, from focusing on complex technologies to strengthening public trust, organizing, and promoting community health. This article encourages policymakers and researchers in the field of health to redefine research priorities, policies, and programs of the health system, from focusing on complex technologies to strengthening public trust, organizing, and promoting community health.
Original Article
Health Information management
Seifallah Andayesh; Zahra Kianrad
Abstract
Introduction:The aim of this study is to examine the role of work overload in the relationship between interpersonal competition and knowledge hiding behavior among managers, administrative staff, and heads of medical sciences libraries in Tehran.Method:This research employed a descriptive-survey design ...
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Introduction:The aim of this study is to examine the role of work overload in the relationship between interpersonal competition and knowledge hiding behavior among managers, administrative staff, and heads of medical sciences libraries in Tehran.Method:This research employed a descriptive-survey design and, in terms of purpose, is applied research. The statistical population consisted of managers, administrative staff, and heads of medical sciences libraries in Tehran, totaling 230 individuals. Using Cochran’s formula and considering standard statistical parameters, the sample size was determined to be 144. In the quantitative section, standardized questionnaires were utilized to measure the research variables. Interpersonal competition was assessed using Lee’s (2020) scale with 9 items across two dimensions (competitive anxiety and sense of competition). Knowledge hiding was measured with the 12-item questionnaire developed by Serenko and Bontis (2016), and work overload was evaluated using Karatape’s (2015) 4-item scale. Out of 144 distributed questionnaires, 141 were completed, and all 141 valid responses were analyzed. Data analysis was conducted using descriptive statistics such as frequency distribution and inferential statistics through structural equation modeling (SEM) with Smart PLS.Findings:The results indicated that interpersonal competition has a positive and significant effect on knowledge hiding. Moreover, interpersonal competition positively affects work overload. Work overload also exerts a positive and significant effect on knowledge hiding.Conclusion: The findings revealed that work overload serves as a full mediator in the relationship between interpersonal competition and knowledge hiding.
Policy Brief
Health Information management
نامه name; Ali Norouzi; پرستو پارسائی محمدی; Ehsan Geraei; Firoozeh Zare- Farashbandi
Abstract
The current system of evaluating researchers in Iran, which relies mainly on international quantitative indicators such as the number of articles and the H-index, has not been effective in accurately assessing the quality and real role of researchers due to ignoring the multidimensional nature of the ...
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The current system of evaluating researchers in Iran, which relies mainly on international quantitative indicators such as the number of articles and the H-index, has not been effective in accurately assessing the quality and real role of researchers due to ignoring the multidimensional nature of the research process and the fundamental differences between scientific disciplines. Accordingly, the need to design a "native composite index" that can simultaneously measure the quantitative, qualitative, contextual, and applied dimensions of research within the framework of national needs and values is emphasized. According to the findings of the composite study, the key components of developing this index were: scientific authority, database used, innovation and technological impact, ranking in prestigious festivals, and citations. For the effective implementation of such an index, policy planning and targeted actions are needed. The proposed policy strategies in this regard, in order of priority, are: “Implementing a pilot of a native composite index in the evaluation of researchers” as the core of the evaluation transformation, “Considering the subject area component” as a basic prerequisite for making any evaluation fair, “Intelligent emphasis on the citation component” to improve the quality of scientific production, “Adjusting the scientific authority component” by considering disciplinary distinctions, and “Integrating the innovation and technological impact component” to align research with the needs of industry and society. This roadmap requires investment in data infrastructure, culture building, and strengthening organizational will for change.
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