Authors: Vishal Rathod, B. Rohith Patel, Deepika Borgoankar
Abstract: The increasing strain on healthcare systems across the globe has made patient triage an essential procedure to guarantee prompt and efficient medical care.Conventional man- ual triage techniques are constrained by concerns with scale, subjectivity, and human availability.Intelligent, automated sys- tems that can help with early patient triage have been made possible by recent developments in conversational AI and Natu- ral Language Processing (NLP).The development of NLP-based healthcare chatbots for patient triage is covered in this review paper, with a focus on ethical design, safety, and technological robustness.These systems may be able to comprehend natural symptom descriptions, offer non-diagnostic therapy recommen- dations, and improve access to healthcare by combining frame- works like Rasa with transformer-based language models (BERT, DistilBERT).The article analyzes previous research, discusses current research trends and limits, and investigates future options for implementing conversational triage systems that are safe, intelligible, and context-aware.
DOI: http://doi.org/10.5281/zenodo.20849583
