醫院系統的數位化，包括集中的電子病歷，為提高住院患者跌倒風險模型的預測性能及其在計算機化臨床決策支援系統中的應用提供了機會。本研究描述了開發住院患者跌倒預測模型的研究報告的資料來源和方法範圍，包括機器學習和更傳統的住院跌倒風險預測方法。
The digitization of hospital systems, including integrated electronic medical records, has provided opportunities to improve the prediction performance of inpatient fall risk models and their application to computerized clinical decision support systems. This review describes the data sources and scope of methods reported in studies that developed inpatient fall prediction models, including machine learning and more traditional approaches to inpatient fall risk prediction.
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