Inomata Takenori, Sung Jaemyoung, Yee Alan, Murakami Akira, Okumura Yuichi, Nagino Ken, Fujio Kenta, Akasaki Yasutsugu, Midorikawa-Inomata Akie, Eguchi Atsuko, Fujimoto Keiichi, Huang Tianxiang, Morooka Yuki, Miura Maria, Shokirova Hurramhon, Hirosawa Kunihiko, Ohno Mizu, Kobayashi Hiroyuki
Juntendo Iji Zasshi. 2023 Jan 26;69(1):2-13. doi: 10.14789/jmj.JMJ22-0032-R. eCollection 2023.
During the 5 Science, Technology, and Innovation Basic Plan, the Japanese government proposed a novel societal concept -Society 5.0- that promoted a healthcare system characterized by its capability to provide unintrusive, predictive, longitudinal care through the integration of cyber and physical space. The role of Society 5.0 in managing our quality of vision will become more important in the modern digitalized and aging society, both of which are known risk factors for developing dry eye. Dry eye is the most common ocular surface disease encountered in Japan with symptoms including increased dryness, eye discomfort, and decreased visual acuity. Owing to its complexity, implementation of P4 (predictive, preventive, personalized, participatory) medicine in managing dry eye requires a comprehensive understanding of its pathology, as well as a strategy to visualize and stratify its risk factors. Using DryEyeRhythm, a mobile health (mHealth) smartphone software (app), we established a route to collect holistic medical big data on dry eye, such as the subjective symptoms and lifestyle data for each individual. The studies to date aided in determining the risk factors for severe dry eye, the association between major depressive disorder and dry eye exacerbation, eye drop treatment adherence, app-based stratification algorithms based on symptomology, blink detection biosensoring as a dry eye-related digital phenotype, and effectiveness of app-based dry eye diagnosis support compared to traditional methods. These results contribute to elucidating disease pathophysiology and promoting preventive and effective measures to counteract dry eye through mHealth.
在第五期科学、技术和创新基本计划期间，日本政府提出了一个全新的社会理念——“社会5.0”，该理念倡导一种医疗保健系统，其特点是能够通过网络空间与物理空间的整合，提供非侵入性、预测性、长期的护理。在现代数字化和老龄化社会中，“社会5.0”在管理我们的视力质量方面的作用将变得更加重要，而这两种社会状况都是已知的干眼症发病风险因素。干眼症是日本最常见的眼表疾病，症状包括眼睛干涩加剧、不适和视力下降。由于其复杂性，在干眼症管理中实施4P（预测性、预防性、个性化、参与性）医学需要全面了解其病理，以及将其风险因素可视化和分层的策略。我们使用一款移动健康（mHealth）智能手机软件（应用程序）DryEyeRhythm，建立了一条收集干眼症整体医学大数据的途径，例如每个人的主观症状和生活方式数据。迄今为止的研究有助于确定严重干眼症的风险因素、重度抑郁症与干眼症加重之间的关联、眼药水治疗依从性、基于症状学的基于应用程序的分层算法、作为干眼症相关数字表型的眨眼检测生物传感，以及与传统方法相比基于应用程序的干眼症诊断支持的有效性。这些结果有助于阐明疾病病理生理学，并通过移动健康促进预防和有效措施来对抗干眼症。
