Elevating Healthcare Efficiency and Patient Engagement: Speech-to- Text Solutions with Multilingual Medical Consultations in the Philippines

This study explores the implementation of speech-to-text solutions and multilingual medical consultations in the context of telemedicine in the Philippines. Telemedicine has proven to be an effective means of overcoming geographical and time-related barriers in healthcare delivery. This study addresses these challenges by leveraging a multilingual speech-to-text translator system to enhance healthcare accessibility and patient engagement. This study employs an experimental quantitative research design and an iterative waterfall software methodology. Moreover, it discusses the implementation of cloud-based medical transcription using speech recognition technologies by evaluating the proposed system through functional and non-functional tests. Furthermore, these technologies have the potential to streamline documentation processes, improve information storage and retrieval, and bridge the gap between healthcare providers and patients.