Journal of Artificial Intelligence and Digital Health

ABSTRACT

The integration of Artificial Intelligence (AI), Big Data analytics, and the Internet of Things (IoT) is the key to the digital healthcare transformation in developing countries. This paper examines the combined effect of these technologies in improving digital healthcare in Bangladesh, a developing economy, which is typified by poor infrastructure and unequal distribution of health services. With the help of a quantitative, primary data-driven methodology, 385 respondents were selected based on healthcare systems, hospital managers, patients, and technology developers at Dhaka, Chittagong, Rajshahi, and Sylhet and administered the structured questionnaires. SPSS v.26 was used in the analysis of data, which included descriptive statistics, Pearson correlation, and multiple regression analysis. The results indicate that all three categories of AI-based diagnostic tools, IoT-based remote patient monitoring, and big data health analytics explain 73.4 per cent of the difference in the quality of digital health services (R2= 0.734, p = 0.001). Integration of IoT became the most powerful individual predictor (= 0.412), then there were AI application (= 0.381) and utilisation of big data = 0.297). The research has determined the infrastructure gaps, data privacy and poor levels of digital literacy as the major obstacles. The article makes a contribution to the theory of the Technology Acceptance Model (TAM) and a practical suggestion of a Bangladesh Digital Health Framework (BDHF) that can be utilised to make evidence-based policies.

Keywords: Artificial Intelligence; Big Data; Internet of Things; Digital Healthcare; Bangladesh; Emerging Economy; Health Informatics