Mollie Hobensack
Papers
1
Total Citations
302
H-Index
1
About
Mollie Hobensack is a leading researcher at the intersection of nursing science and artificial intelligence, whose work is reshaping how technology supports patient care. Her primary research areas include AI-based technologies in nursing, clinical decision support systems, and the ethical integration of digital health tools into practice. She is best known for her landmark scoping review, “Artificial Intelligence-based technologies in nursing: A scoping literature review of the evidence,” which has garnered over 300 citations and serves as a foundational reference for understanding AI’s potential and pitfalls in nursing. This work critically examined the evidence base for AI applications—from predictive analytics to robotic assistance—while highlighting concerns about data bias, transparency, and the need for nurse-centered design. Hobensack’s contributions have been instrumental in guiding researchers and clinicians toward responsible AI adoption, ensuring that technological advances do not compromise equity or patient trust. Her scholarship is widely cited by interdisciplinary teams working to bridge computer science and nursing, and she is recognized as a key voice advocating for rigorous, ethically grounded innovation in healthcare.
Research Focus
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Top Papers
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