从电子健康记录中确定手术室延误的影响因素:一项回顾性研究。

IF 1.6 Q2 ANESTHESIOLOGY
Anesthesiology Research and Practice Pub Date : 2022-09-13 eCollection Date: 2022-01-01 DOI:10.1155/2022/8635454
Scott M Pappada, Thomas J Papadimos, Sadik Khuder, Sean T Mack, Peyton Z Beachy, Andrew B Casabianca
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引用次数: 2

摘要

手术室(OR)被认为是医院的主要成本中心和收入来源。多种因素导致手术室延误,并影响患者安全、患者满意度评分和医院财务绩效。减少手术室延误可以更好地利用手术室资源和人员,提高患者满意度,同时降低操作成本。准确的调度是实现这些目标的基础。这项初步研究的目的是确定电子健康记录(EHR)中通常没有记录的因素,这些因素可能导致或成为手术室延迟的指标。材料与方法。回顾性数据分析了2010年至2017年第一季度某小型大学医疗中心12个外科专业的67812例手术室病例。导出医院电子病历中的数据,并使用SAS软件(SAS Institute, Cary, NC)进行统计分析。结果。对提取的电子病历数据进行统计分析,发现与手术延迟相关的因素包括:手术专科、术前评估测试、患者体重指数、美国麻醉医师协会(ASA)身体状态分类、每日手术次数和日历年。结论。延迟在很多层面上损害了OR的效率。识别这些因素可以减少延误,更好地满足外科医生、工作人员和患者的需求,从而改善患者的预后和患者满意度。减少延误可以降低手术成本,改善手术室和医院的财务状况。麻醉团队可以在确定导致延迟的因素和实施缓解效率方面发挥关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Contributing Factors to Operating Room Delays Identified from an Electronic Health Record: A Retrospective Study.

Contributing Factors to Operating Room Delays Identified from an Electronic Health Record: A Retrospective Study.

Contributing Factors to Operating Room Delays Identified from an Electronic Health Record: A Retrospective Study.

The operating room (OR) is considered a major cost center and revenue generator for hospitals. Multiple factors contribute to OR delays and impact patient safety, patient satisfaction scores, and hospital financial performance. Reducing OR delays allows better utilization of OR resources and staffing and improves patient satisfaction while decreasing operating costs. Accurate scheduling can be the basis to achieve these goals. The objective of this initial study was to identify factors not normally documented in the electronic health record (EHR) that may contribute to or be indicators of OR delays. Materials and Methods. A retrospective data analysis was performed analyzing 67,812 OR cases from 12 surgical specialties at a small university medical center from 2010 through the first quarter of 2017. Data from the hospital's EHR were exported and subjected to statistical analysis using Statistical Analysis System (SAS) software (SAS Institute, Cary, NC). Results. Statistical analysis of the extracted EHR data revealed factors that were associated with OR delays including, surgical specialty, preoperative assessment testing, patient body mass index, American Society of Anesthesiologists (ASA) physical status classification, daily procedure count, and calendar year. Conclusions. Delays hurt OR efficiency on many levels. Identifying those factors may reduce delays and better accommodate the needs of surgeons, staff, and patients thereby leading to improved patient's outcomes and patient satisfaction. Reducing delays can decrease operating costs and improve the financial position of the operating theater as well as that of the hospital. Anesthesiology teams can play a key role in identifying factors that cause delays and implementing mitigating efficiencies.

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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
29
审稿时长
18 weeks
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