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From Screens to Systems: Patient Trust in Telemedicine and Public Views on AI-Driven Healthcare in Bangladesh

Students & Supervisors

Student Authors
Sadia Afrin
Bachelor of Science in Computer Science & Engineering, FST
Debabrata Barman Pritam
Bachelor of Science in Computer Science & Engineering, FST
Md Yousuf Showrov
Bachelor of Science in Computer Science & Engineering, FST
Mohammed Ariful Haque
Bachelor of Science in Computer Science & Engineering, FST
Supervisors
Md. Mortuza Ahmmed
Associate Professor, Faculty, FST

Abstract

Background: Steady and noticeable growth has been observed in Bangladesh’s healthcare sector over the last two decades. The growth has been driven by the increasing availability of smartphones, the effects of the COVID-19 outbreak, and continuous progress in AI-powered diagnostics. Consequently, telemedicine and AI-based healthcare services have been expanded, with initial barriers being overcome. Besides, AI-driven healthcare faced distrust, misinformation, and ethical issues. This study aims to explore patient trust in telemedicine and public perceptions of AI-driven healthcare from 2000 to 2024 in Bangladesh. Methods: Secondary data from 2000 to 2024 were gathered in this study in a dataset that included the reported figures of telemedicine adoption, public trust indices, and AI healthcare perception scores. Moreover, key sources contained NGO-led telehealth campaigns, clinic-based AI diagnostic records in urban areas, national telehealth programs, and the adoption of COVID-19 boosts telehealth. Analysis focused on telemedicine usage rates, trust indices, major concerns, and significant healthcare events. The evolution of trust, technology acceptance, and public perspectives of AI in healthcare services was analyzed using descriptive statistics and trend analysis. Results: The use of telemedicine initially started at 0.1% in 2000 and rose to 18.5% by 2024. Public Trust Index increased from 5 to 48 during the same time. The AI Healthcare Perception Score was considerably increased from 10 in 2005 to 70 in 2024, primarily influenced by telehealth initiatives supported by NGOs in the 2010s, smartphone penetration growth by 2015, and the COVID-19 pandemic in 2020, which acted as critical accelerators for adoption and trust. Conclusion: Patients in Bangladesh have substantially increased their adoption of telemedicine. Public trust in AI-powered healthcare can be strengthened through the promotion of digitalization, the enhancement of awareness, and the expansion of diagnostic system implementation in urban settings.

Keywords

Telemedicine Adoption AI-driven Healthcare Patient Trust Data Privacy AI Diagnostics

Publication Details

  • Type of Publication: Conference 
  • Conference Name: 1st National BioMed health ResearchCon (NBHRC) 2025
  • Date of Conference: 28/08/2025 - 28/08/2025
  • Venue: Dr. milon Auditorium, Dhaka Medical College
  • Organizer: Dhaka Medical College Research and Academic Club
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