Volume 7, Issue 3 (Autumn 2024)                   Iran J Health Insur 2024, 7(3): 149-160 | Back to browse issues page

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Molaei M M, Fatehi M. Digital Transformation in Health Insurance Beyond AI and Chatbots. Iran J Health Insur 2024; 7 (3) :149-160
URL: http://journal.ihio.gov.ir/article-1-338-en.html
1- National Center for Health Insurance Research, Tehran, Iran , molaei.mahdi78@gmail.com
2- Global Outreach Committee, Society for Imaging Informatics in Medicine (SIIM), Virginia, USA
Abstract:   (2037 Views)
The health insurance sector is undergoing a revolution with the help of digital technologies that are creating new ways of improving the quality of services and reducing costs. This study explores how modern solutions such as artificial intelligence, big data, the Internet of Things, and health informatic systems can transform health insurance's future.  These technologies have already demonstrated their potential. They are assisting the insurers in enhancing the risk appraisal, providing individualized care, and minimizing the hospital expenses—especially when integrated with a digital strategy. But the journey is not simple. Data security, global compliance, and algorithmic bias are a few of the significant challenges that have been highlighted. In Iran, the development has been made, but there are still some issues. Challenges include; limited IT infrastructure, poor referral systems, and limited internet access. To address these challenges, there is the need to enhance the current inadequate digital infrastructure, to review the existing legal framework and to train a workforce that will be conversant with these technologies.  The final success of digital transformation will depend on the perfect balance, meaning the right combination of advanced technologies and the ability to provide quality care at an affordable cost for all. Ultimately, these efforts can lead to development of a healthcare system that works for all stakeholders.
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Type of Study: Review Article | Subject: Special
Received: 2024/06/30 | Revised: 2025/02/4 | Accepted: 2024/11/30 | ePublished: 2024/12/23

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