Does extended CPOE use reduce patient length of stay?

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• 作者：Dr. Darryl Romanow^a ; ^{dromanow1@GGC.edu} ; ^{dromanow1@GGC.edu} (Assistant Professor-Management Information Systems & Decision Sciences) ; Dr. Arun Rai^b ; ^{arunrai@gsu.edu} (Regents&rsquo ; Professsor ; Robinson Chair ; Harkins Chair) ; Dr. Mark Keil^c ; ^{mkeil@gsu.edu} (John B. Zellars Professor of Computer Information) ; Dr. Steven Luxenberg^d ; ^{steven@phi.healthcare} (M.D. ; FACP)
• 关键词：CPOE ; Meaningful use ; Deep structure use ; Risk adjusted length of stay
• 刊名：International Journal of Medical Informatics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：97
• 期：Complete
• 页码：128-138
• 全文大小：779 K
• 卷排序：97

文摘

Using archival data from two affiliated hospitals in the Southeastern United States, we examined the impact of CPOE use on the discrepancy between patients’ actual and expected length of stay (LOS) for five different patient conditions. CPOE orders, documentation entries, patient record lookups, order set adherence, alert acknowledgement, and progress note entries were used to assess clinicians’deep structure use (DSU) of CPOE. Increased DSU of CPOE reduced actual versus expected LOS for all five patient conditions. Core team DSU reduced actual versus expected LOS for 93% of the patients. Capturing feature-level clinician use of CPOE by patient condition enables improved assessment of the impact of CPOE.