본문 바로가기

추천 검색어

실시간 인기 검색어

학술논문

Research on Developing a Conversational AI Callbot Solution for Medical Counselling

이용수 4

영문명
Research on Developing a Conversational AI Callbot Solution for Medical Counselling
발행기관
한국인공지능학회
저자명
이원로(Won Ro LEE) 최정현(Jeong Hyon CHOI) 강민수(Min Soo KANG)
간행물 정보
『인공지능연구』Vol.11 No. 4, 9~13쪽, 전체 5쪽
주제분류
복합학 > 과학기술학
파일형태
PDF
발행일자
2023.12.31
무료

구매일시로부터 72시간 이내에 다운로드 가능합니다.
이 학술논문 정보는 (주)교보문고와 각 발행기관 사이에 저작물 이용 계약이 체결된 것으로, 교보문고를 통해 제공되고 있습니다.

1:1 문의
논문 표지

국문 초록

영문 초록

In this study, we explored the potential of integrating interactive AI callbot technology into the medical consultation domain as part of a broader service development initiative. Aimed at enhancing patient satisfaction, the AI callbot was designed to efficiently address queries from hospitals' primary users, especially the elderly and those using phone services. By incorporating an AI-driven callbot into the hospital's customer service center, routine tasks such as appointment modifications and cancellations were efficiently managed by the AI Callbot Agent. On the other hand, tasks requiring more detailed attention or specialization were addressed by Human Agents, ensuring a balanced and collaborative approach. The deep learning model for voice recognition for this study was based on the Transformer model and fine-tuned to fit the medical field using a pre-trained model. Existing recording files were converted into learning data to perform SSL(self-supervised learning) Model was implemented. The ANN (Artificial neural network) neural network model was used to analyze voice signals and interpret them as text, and after actual application, the intent was enriched through reinforcement learning to continuously improve accuracy. In the case of TTS(Text To Speech), the Transformer model was applied to Text Analysis, Acoustic model, and Vocoder, and Google's Natural Language API was applied to recognize intent. As the research progresses, there are challenges to solve, such as interconnection issues between various EMR providers, problems with doctor's time slots, problems with two or more hospital appointments, and problems with patient use. However, there are specialized problems that are easy to make reservations. Implementation of the callbot service in hospitals appears to be applicable immediately.

목차

1. Introduction
2. Related Research
3. Experiment
4. Result
5. Conclusions
References

키워드

해당간행물 수록 논문

참고문헌

교보eBook 첫 방문을 환영 합니다!

신규가입 혜택 지급이 완료 되었습니다.

바로 사용 가능한 교보e캐시 1,000원 (유효기간 7일)
지금 바로 교보eBook의 다양한 콘텐츠를 이용해 보세요!

교보e캐시 1,000원
TOP
인용하기
APA

이원로(Won Ro LEE),최정현(Jeong Hyon CHOI),강민수(Min Soo KANG). (2023).Research on Developing a Conversational AI Callbot Solution for Medical Counselling. 인공지능연구, 11 (4), 9-13

MLA

이원로(Won Ro LEE),최정현(Jeong Hyon CHOI),강민수(Min Soo KANG). "Research on Developing a Conversational AI Callbot Solution for Medical Counselling." 인공지능연구, 11.4(2023): 9-13

결제완료
e캐시 원 결제 계속 하시겠습니까?
교보 e캐시 간편 결제