A novel implementation on intelligent digital transformation towards smart and sustainable healthcare, Mohammed Alojail
Mohammed Alojail
Management Information Systems Department, College of Business Administration
King Saud University
Saudi Arabia
ORCID: 0000-0002-8324-1066
Paper Type: Research
Received: 2025 / Revised: 2025 / Accepted: 2025 / Published: 2026
DOI: 10.47556/J.WJSTSD.21.4.2026.7
Purpose: This paper proposes a secure and intelligent digital transformation framework for healthcare, focusing on heart-specialised centres. The aim is to enhance diagnosis, treatment, and monitoring through an ensemble of the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain (BC) technologies.
Design/Methodology/Approach: The framework integrates IoT for real-time monitoring, AI for predictive analysis, and BC for secure data management. Comprehensive experimentation was performed using real-time datasets. Quantitative evaluation employed performance metrics including accuracy, precision, recall, and F1 score, while the qualitative assessment involved a few domain experts. Security analysis was conducted using NIST standard tests.
Findings: Results show improvements of 40% in diagnostic accuracy and 30% reduction in processing time. Three hypotheses were tested at a 5% significance level. The system supports personalised treatment, predictive analytics, and seamless communication with strong security measures.
Originality/Value: The study highlights how digital transformation can address security and precision challenges in healthcare, shaping sustainable and future healthcare ecosystems.
Keywords: Sustainable Healthcare Artificial Intelligence; Digital Transformation; Blockchain; Internet-of-things.
Citation: Alojail, M. (2026): A Novel Implementation on Intelligent Digital Transformation Towards Smart and Sustainable Healthcare. World Journal of Science, Technology and Sustainable Development (WJSTSD), Vol. 21, No. 4, pp. xx-xx.