We first estimated the extended length of hospital stay caused by falls among elderly inpatients. Next, we developed a model that predicts falls using clinical text as input and evaluated its accuracy. Finally, we estimated the potentially shortened hospital stay that would be made possible by appropriate interventions based on the prediction model.
電子健康記錄 (EHR) 的使用有望提供高度準確的與跌倒相關的風險評估和住院時間數據，可用於估計預防的成本和收益。然而，迄今為止，還沒有研究調查通過使用預測工具避免跌倒可以縮短住院時間的程度。我們首先估計了老年住院患者跌倒導致的住院時間延長。接下來，我們開發了一個模型，該模型使用臨床文件作為輸入來預測跌倒並評估其準確性。最後，我們根據預測模型顯示透過適當干預可能縮短的住院時間。