Care Coordinator Insights Offer Significant Additive Value to Electronic Health Record Data-Based 30-Day Readmission Risk Predictions.
作者信息
Tarabichi Yasir, Kaelber David C, Watts Brook
机构信息
Center for Clinical Informatics Research and Education, MetroHealth, Cleveland, OH, USA.
School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
出版信息
J Gen Intern Med. 2023 Jul;38(9):2220-2222. doi: 10.1007/s11606-023-08052-3. Epub 2023 Feb 7.
Abstract
摘要
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本文引用的文献
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External validation of EPIC's Risk of Unplanned Readmission model, the LACE+ index and SQLape as predictors of unplanned hospital readmissions: A monocentric, retrospective, diagnostic cohort study in Switzerland.EPIC 的再入院风险模型、LACE+ 指数和 SQLape 作为非计划性住院再入院预测因子的外部验证：瑞士单中心回顾性诊断队列研究。
PLoS One. 2021 Nov 12;16(11):e0258338. doi: 10.1371/journal.pone.0258338. eCollection 2021.
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The quality of social determinants data in the electronic health record: a systematic review.电子健康记录中社会决定因素数据的质量：系统评价。
J Am Med Inform Assoc. 2021 Dec 28;29(1):187-196. doi: 10.1093/jamia/ocab199.
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Man vs. Machine: Comparing Physician vs. Electronic Health Record-Based Model Predictions for 30-Day Hospital Readmissions.人与机器的较量：比较医生与基于电子健康记录的模型对 30 天内再住院的预测结果。
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Inability of providers to predict unplanned readmissions.提供者无法预测非计划性再入院。
J Gen Intern Med. 2011 Jul;26(7):771-6. doi: 10.1007/s11606-011-1663-3. Epub 2011 Mar 12.
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