Blockchain-based Medical Image Sharing and Automated Critical-results Notification: A Novel Framework

July 07, 2022 Β· Declared Dead Β· πŸ› Annual International Computer Software and Applications Conference

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Authors Jiyoun Randolph, Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Liang Zhao, Nazmus Sakib, Bilash Saha arXiv ID 2207.03555 Category cs.HC: Human-Computer Interaction Cross-listed cs.CR, cs.DC Citations 13 Venue Annual International Computer Software and Applications Conference Last Checked 4 months ago
Abstract
In teleradiology, medical images are transmitted to offsite radiologists for interpretation and the dictation report is sent back to the original site to aid timely diagnosis and proper patient care. Although teleradiology offers great benefits including time and cost efficiency, after-hour coverages, and staffing shortage management, there are some technical and operational limitations to overcome in reaching its full potential. We analyzed the current teleradiology workflow to identify inefficiencies. Image unavailability and delayed critical result communication stemmed from lack of system integration between teleradiology practice and healthcare institutions are among the most substantial factors causing prolonged turnaround time. In this paper, we propose a blockchain-based medical image sharing and automated critical-results notification platform to address the current limitation. We believe the proposed platform will enhance efficiency in workflow by eliminating the need for intermediaries and will benefit patients by eliminating the need for storing medical images in hard copies. While considerable progress was achieved, further research on governance and HIPAA compliance is required to optimize the adoption of the new application. Towards an idea to a working paradigm, we will implement the prototype during the next phase of our study.
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