A novel implementation on intelligent digital transformation towards smart and sustainable healthcare, Dr Mohammed Alojail
Dr 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.21.3.2026.1
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. 3, pp. xx-xx.