Transforming Healthcare Technology in Crisis: A Review of Biomedical Engineering, AI Integration, and Smart Procurement Systems | ||
| Egyptian Journal of Health Sciences Technology | ||
| Articles in Press, Accepted Manuscript, Available Online from 06 November 2025 | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejhst.2025.403534.1006 | ||
| Authors | ||
| Alyaa Elrashedy* 1; Omar Shehata2; Yara M Bedair2; Nourhan Ghapn2; Ibtihal K Elsaady2; Ali M Salem2; Toqa E Mohamed2; Mohamed S Saber2; saeed Awad2; Mohamed E. Hasan3 | ||
| 1Department of Animal Medicine and Infectious Diseases, Faculty of Veterinary Medicine, University of Sadat City, Egypt. Faculty of Applied Health Science, Borg Al Arab Technological University (BATU), Alexandria, Egypt | ||
| 2Faculty of Applied Health Science, Borg Al Arab Technological University (BATU), Alexandria, Egypt | ||
| 3Faculty of Applied Health Science, Borg Al Arab Technological University (BATU), Alexandria, Egypt Bioinformatics Department, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Egypt. | ||
| Abstract | ||
| The COVID-19 pandemic exposed critical vulnerabilities in global healthcare systems, including equipment shortages, fragmented communication, inefficient procurement, and weak regulatory frameworks. Biomedical and clinical engineers were instrumental in managing and adapting medical devices under crisis conditions, highlighting the need for systematic device governance. Artificial Intelligence (AI) and Machine Learning (ML) technologies transformed diagnostics, predictive modeling, and logistics, enabling rapid, data-driven responses. Digital procurement platforms advanced, offering real-time equipment tracking and inventory optimization to address supply chain disruptions. This review examines the pivotal role of healthcare technologies during the pandemic, focusing on biomedical engineering contributions, AI/ML integration, digital platform advancements, and anti-corruption procurement frameworks. It emphasizes regulatory clarity, system interoperability, and patient safety as critical for effective technology deployment. The findings advocate for long-term strategies to build resilient, innovative healthcare infrastructures that prioritize ethical practices, operational efficiency, and robust preparedness to ensure global health systems are better equipped for future crises. | ||
| Keywords | ||
| AI/ML; Biomedical engineering; COVID-19; Healthcare technology and systems; Medical equipment | ||
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