Suzuki Takahiro, Nagasu Hajime, Ebara Takeshi, Kagiyama Nobuyuki, Kishi Takuya, Yano Yuichiro, Kario Kazuomi, Nishiyama Akira, Arima Hisatomi, Kawai Fujimi, Shibata Shigeru, Node Koichi, Mizuno Atsushi
Department of Cardiovascular Medicine, St. Luke's International Hospital, Japan.
Department of Nephrology and Hypertension, Kawasaki Medical School, Japan.
Intern Med. 2025 Jul 15;64(14):2090-2099. doi: 10.2169/internalmedicine.4666-24. Epub 2024 Dec 5.
Digital health, which encompasses digital medicine and therapy, integrates advanced technologies across healthcare. Central to this transformation is 'digitization,' which converts continuous analog data into a discrete digital form. However, this process is challenging. First, digitization inherently has the potential to introduce information loss, thereby diminishing the richness and complexity of data. Second, "digit bias," a cognitive distortion, emerges in the interpretation phase, where individuals' perceptions of and reactions to digital data are intrinsically skewed. There exist two major cognitive biases during digitization process: "digit preferences," where healthcare providers prioritize specific numbers, and "left digit bias" where continuous variables are disproportionately estimated by focusing on the leftmost digit. Although information loss and cognitive biases can cause significant distortions in healthcare, the effects of this "digitization" process have not been adequately quantified, and the accumulation of further evidence in this field is anticipated.
数字健康涵盖数字医学和治疗，整合了医疗保健领域的先进技术。这一转变的核心是“数字化”，即将连续的模拟数据转换为离散的数字形式。然而，这一过程具有挑战性。首先，数字化本身有可能导致信息丢失，从而降低数据的丰富性和复杂性。其次，“数字偏差”这种认知扭曲出现在解释阶段，即个体对数字数据的认知和反应本质上存在偏差。在数字化过程中存在两种主要的认知偏差：“数字偏好”，即医疗保健提供者优先考虑特定数字；以及“左位数字偏差”，即通过关注最左边的数字来不成比例地估计连续变量。尽管信息丢失和认知偏差可能会在医疗保健中造成重大扭曲，但这一“数字化”过程的影响尚未得到充分量化，预计该领域将积累更多证据。
