Mitigating Misdiagnosis Challenges in Bangladesh's Healthcare System with Artificial Intelligence-Based Application

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Keywords:

Medical Negligence, Artificial Intelligence, Misdiagnosis, Healthcare System, Bangladesh, AI-based Applications

Abstract

This research investigates the frequency and types of medical negligence in Bangladesh and explores prevention strategies through AI-based applications. Utilizing a mixed-methods approach, a survey was distributed among AIUB students, revealing a significant incidence of medical negligence, primarily in the forms of misdiagnosis, surgical errors, and medication errors. Respondents highlighted the need for enhanced training and resources for healthcare professionals. Concerns about AI adoption included cost, technological challenges, and data privacy. The study recommends implementing an AI-based application to improve medical services. The application’s features—symptom assessment, multilingual support, and personalized care—make it highly suitable for addressing these issues. The study concluded that AI-based technologies have the potential to improve healthcare in Bangladesh, especially in distant locations with limited resources, while acknowledging the need to take privacy issues and diagnostic accuracy into account.

Published

2024-11-01

How to Cite

Saif Mostasir Rohan, Mustakim Ahmed, Kazi Redwan, Kabir, M. S., Tasnim Sultana Sintheia, Kazi Tanvir, Mohamed Kaisarul Haq, & Valliappan Raju. (2024). Mitigating Misdiagnosis Challenges in Bangladesh’s Healthcare System with Artificial Intelligence-Based Application. Journal of Reproducible Research, 2(3). Retrieved from https://journalrrsite.com/index.php/Myjrr/article/view/101

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