معرفی
Tânia Manuel is a Researcher at the Center for Interdisciplinary Research in Health (CIIS), specializing in clinical nursing research with a focus on pressure injury prevention, wound care management, and symptom assessment in critical care settings. Her work bridges evidence-based practice and clinical innovation to improve patient safety and outcomes in intensive care units.
Her primary research interests include pressure injury risk assessment protocols, cultural adaptation of wound symptom assessment tools, and artificial intelligence applications in nursing education. She has pioneered systematic reviews establishing best practices for pressure injury prevention in adult ICU patients and led the validation of the Toronto Symptom Assessment System for Wounds (TSAS-W) for Portuguese-speaking populations. Her research demonstrates consistent methodological rigor in developing clinically applicable assessment instruments and educational frameworks.
Analysis of her recent publications reveals a strategic focus on optimizing preventive care through evidence synthesis, with increasing integration of technological solutions like AI in wound care education. Her work consistently addresses critical gaps in nursing practice, particularly in high-risk environments such as intensive care units, while emphasizing cross-cultural validation of assessment tools.
Manuel actively contributes to the research ecosystem through conference presentations, including her 2024 oral presentation on AI in wound care education, and maintains productive collaborations with researchers like P. Alves and R. Picoito. Her affiliation with CIIS provides an interdisciplinary platform for advancing health research through methodologically sound clinical studies.
