Quantitative evaluation of quality of life of adult patients who underwent organ transplantation in childhood and development of a long-term support model

2022 Fiscal Year Final Research Report

• Project/Area Number: 17K17845
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Lifelong developmental nursing; Clinical nursing
• Research Institution: Osaka University
• Principal Investigator: Kikuchi Ryota 大阪大学, 大学院医学系研究科, 講師 (40794037)
• Project Period (FY): 2017-04-01 – 2023-03-31
• Keywords: 臓器移植 / 小児 / Quality of life / Patient-reported outcome / 長期フォローアップ / Artificial intelligence

Outline of Final Research Achievements

Since artificial intelligence (AI) is an indispensable technology in establishing a database for long-term follow-up of patients who underwent organ transplantation in childhood, we conducted a systematic review of the utility of AI in healthcare, especially in the field of nursing. The review revealed that machine learning was used, and that AI had utility in predicting depression based on patients' self-reports. The establishment of a long-term follow-up system based on AI, which is the theme of this study, will enable prompt and accurate support for organ transplant patients.

Free Research Field

臓器移植

Academic Significance and Societal Importance of the Research Achievements

小児期に臓器移植を行った患者の長期的なアウトカムは着目されつつあるも、長期フォローアップについては課題となっている。本研究にて、長期フォローアップに向けたデータベースの確立に際してAIが基幹となりうることが確認されたことは患者の支援をより充実させるために有用な知見であり、臓器移植患者だけでなく他の疾患・治療を行う患者への応用可能性も示唆される。