实时监测与预测分析在预防和减少健康与社会照护中限制性实践的应用

Abstract Background Restrictive practices, including restraint and seclusion, are used across aged care, mental health, and disability support settings to manage behaviors of concern. These practices are associated with substantial ethical, psychological, and physical harms. Digital health technologies, including real-time monitoring systems and AI-enabled predictive analytics, are increasingly used to detect early behavioral escalation. However, detection or prediction alone does not reduce restrictive practices. It remains unclear how these technologies are translated into care actions, deci