Professor Maxim Topaz is an internationally recognized leader in healthcare informatics and nursing research. His expertise lies in utilizing advanced technologies, including artificial intelligence (AI), machine learning, and natural language processing (NLP), to enhance nursing care and improve patient outcomes. Topaz is particularly known for his work in developing AI-driven tools to support clinical decision-making and the efficient management of electronic health records (EHRs).

A key focus of his research is the extraction and analysis of unstructured clinical data from EHRs, which allows healthcare professionals to make better-informed decisions. Topaz’s research also emphasizes improving the quality of care for vulnerable populations, including older adults, by utilizing predictive analytics to identify potential health risks and deliver personalized interventions.

Professor Topaz’s contributions to the field of nursing informatics have been widely published in leading journals and presented at major international conferences. He collaborates with multidisciplinary teams across the globe to advance healthcare informatics and nursing science, driving innovation that bridges the gap between technology and patient care. His work has had a profound impact on how healthcare data is leveraged to improve both clinical practice and patient safety.