Using voice recognition and machine learning techniques for detecting patient-reported outcomes from conversational voice in palliative care patients.
Journal:
Japan journal of nursing science : JJNS
PMID:
39778050
Abstract
AIM: Patient-reported outcome measures (PROMs) are increasingly used in palliative care to evaluate patients' symptoms and conditions. Healthcare providers often collect PROMs through conversations. However, the manual entry of these data into electronic medical records can be burdensome for healthcare providers. Voice recognition technology has been explored as a potential solution for alleviating this burden. However, research on voice recognition technology for palliative care is lacking. This study aimed to verify the use of voice recognition and machine learning to automatically evaluate PROMs using clinical conversation voice data.