Advancing Clinical Chatbot Validation Using AI-Powered Evaluation With a New 3-Bot Evaluation System: Instrument Validation Study.

Journal: JMIR nursing
PMID:

Abstract

BACKGROUND: The health care sector faces a projected shortfall of 10 million workers by 2030. Artificial intelligence (AI) automation in areas such as patient education and initial therapy screening presents a strategic response to mitigate this shortage and reallocate medical staff to higher-priority tasks. However, current methods of evaluating early-stage health care AI chatbots are highly limited due to safety concerns and the amount of time and effort that goes into evaluating them.

Authors

  • Seungheon Choo
    Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
  • Suyoung Yoo
    Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
  • Kumiko Endo
    Med2Lab Inc, San Francisco, CA, United States.
  • Bao Truong
    Med2Lab Inc, San Francisco, CA, United States.
  • Meong Hi Son
    Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. Electronic address: meonghi.son@samsung.com.