Ageing-related diseases are increasingly recognized as time-dependent processes characterized by gradual accumulation, fluctuation, and prolonged subclinical deterioration rather than discrete clinical events. However, prevailing geriatric care models remain largely episodic, limiting their capacity to detect early signals of decline and intervene proactively. This review synthesizes longitudinal evidence from epidemiology, ageing biology, and clinical nursing research to reconceptualize geriatric disease as a trajectory-based phenomenon. Geriatric nurses may play a particularly important role in monitoring longitudinal changes in older adults and may contribute to emerging predictive care approaches that aim to anticipate health deterioration and support earlier intervention. By integrating subtle physiological, functional, behavioral, and psychosocial changes over time, nursing practice enables trend-based clinical reasoning that extends beyond task execution toward predictive decision-making. Furthermore, we examine how emerging digital tools and time-series analytics can amplify, but not replace, nursing judgment in anticipatory care. Together, these perspectives position geriatric nursing as a frontline predictive system essential for transforming ageing care from reactive event management to proactive trajectory-informed intervention.
Yang et al. (Wed,) studied this question.