Maxim Topaz

University School, Data & Society Research Institute

Papers

Total Citations

325

H-Index

About

Maxim Topaz is a prominent nursing informatics researcher whose work sits at the critical intersection of artificial intelligence, digital health technologies, and nursing practice. His most influential contribution, a 2021 scoping literature review on AI-based technologies in nursing — now cited over 300 times — established a comprehensive evidence base for understanding how machine learning and AI tools are reshaping clinical care, while also raising important questions about data bias and ethical implementation. Building on this foundation, his 2022 work on AI implications for nurse managers demonstrates his commitment to translating complex technological developments into actionable guidance for healthcare leadership, helping administrators navigate the rapidly evolving digital transformation of health systems. What makes Topaz's scholarly profile particularly intriguing is its breadth: an earlier 2016 publication on bioinspiration education at zoological institutions reveals an interdisciplinary curiosity that extends into sustainability, biodiversity, and biomimicry. Across his body of work, Topaz consistently champions evidence-informed approaches to emerging technologies, making him an essential voice for researchers, clinicians, and educators seeking to responsibly integrate AI into modern healthcare and nursing practice.