Using cTAKES to Build a Simple Speech Transcriber Plugin for an EMR

• Main Authors: Wenceslao, Stephen John Matthew, Estuar, Ma. Regina Justina E
• Format: text
• Published: Archīum Ateneo 2019
• Subjects: Applied computing; Life and medical sciences; Consumer health; Health care information systems; Computing methodologies; Artificial intelligence; Natural language processing; Speech recognition; Computer Sciences; Health Information Technology
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/186; https://dl.acm.org/doi/abs/10.1145/3340037.3340044
• Institution: Ateneo De Manila University

Electronic medical records (EMR) in general provide significant benefits to healthcare organizations and clinicians. However, a major challenge of clinicians who use EMRs is the lowered perceived quality of patient-doctor communication and interaction as a result of doctors being distracted with EMR...