Real-world insights of patient voices with age-related macular degeneration in the Republic of Korea and Taiwan: an AI-based Digital Listening study by Semantic-Natural Language Processing.

Journal: BMC medical informatics and decision making
PMID: 40102785

Abstract

BACKGROUND: In this era of active online communication, patients increasingly share their healthcare experiences, concerns, and needs across digital platforms. Leveraging these vast repositories of real-world information, Digital Listening enables the systematic collection and analysis of patient voices through advanced technologies. Semantic-NLP artificial intelligence, with its ability to process and extract meaningful insights from large volumes of unstructured online data, represents a novel approach for understanding patient perspectives. This study aimed to demonstrate the utility of Semantic-NLP technology in presenting the needs and concerns of patients with age-related macular degeneration (AMD) in Korea and Taiwan.

Authors

  • Hyewon Jeon
    Roche Product Development Safety Risk Management, Roche Products Pty Limited, Sydney, Australia.
  • Su-Yeon Yu
    Department of Pharmacy, College of Pharmacy, Kangwon National University, Chuncheon, Republic of Korea. suyeon.yu@kangwon.ac.kr.
  • Olga Chertkova
    Roche Product Development Safety Risk Management, Roche Products Limited, Welwyn Garden City, UK.
  • Hyejung Yun
    Roche Product Development Safety Risk Management, Roche Korea Company Ltd, Seoul, Republic of Korea.
  • Yi Lin Ng
    Roche Product Development Safety Risk Management, Roche (Malaysia) Sdn. Bhd., Subang Jaya, Malaysia.
  • Yan Yoong Lim
    Roche Product Development Safety Risk Management, Roche Hong Kong Limited, Kowloon Bay, Hong Kong SAR.
  • Irina Efimenko
    Semantic Hub SA, Lausanne, Switzerland.
  • Djoubeir Mohamed Makhlouf
    Roche Product Development Safety Risk Management, F. Hoffmann-La Roche AG, Basel, Switzerland.

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