علی سیبویه

INTRODUCTION: The COVID-19 pandemic has revealed major shortcomings in healthcare data systems worldwide, particularly the need for accessible and transparent data sharing. In Iran, these shortcomings were particularly visible due to the lack of a structured open data network in the healthcare sector. Hence, this study addresses the barriers to open data networks in healthcare. METHODS: This study used Interpretive Structural Modeling (ISM) supported by MICMAC analysis to examine and prioritize barriers to the establishment and use of open data platforms in the Iranian healthcare system. Data were collected through expert consultations with eight experts in the field of health information and policy. FINDINGS: The analysis revealed significant barriers to implementation, including lack of government coordination, high startup costs, and inadequate technology infrastructure. For use, the most prominent barriers included the lack of data standards, poor data management, and uncontrolled growth of unstructured data. Many of these barriers were interrelated, and some acted as root causes that hindered systemic progress. CONCLUSION: Addressing these challenges requires coordinated strategic efforts focused on increasing ICT competencies, upgrading infrastructure, and strengthening institutional support. Establishing a functional open data network is essential to improve public health outcomes and enable faster responses to future health crises in Iran.

INTRODUCTION: Supply chains face various disruptions from human-made to natural disasters preventing proper flow of materials and products. This problem is more important in the healthcare supply chains, especially the blood supply chains, in which human lives are at risk. Making the supply chains resilient, recently addressed by managers and researchers, can be a good way to tackle them. This study aimed to identify the most important disruptions and associated resilience strategies in the blood supply chain of Tehran, Iran, and prioritize the identified strategies based on the disruptions. METHODS: In the current study, important disruptions and associated appropriate resilience strategies were determined using previous studies and Delphi method. Then, the most important resilience strategies were identified and prioritized proposing the House of Quality and Importance-Performance Analysis (IPA) as a novel hybrid approach. FINDINGS: A total of 9 disruptions and 16 resilience strategies were determined by reviewing previous studies and asking for expert opinions. The suggested hybrid model also contributed to determining the importance of each strategy in addressing disruptions and prioritizing them in the blood supply chain of Tehran. CONCLUSION: Those strategies with high importance and low performance, such as flexibility or risk management culture, are of great importance and should be considered by managers and improved according to IPA. In addition, other strategies, such as social responsibility or redundancy, should be continued in the current way.