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A randomized trial of automated electronic alerts demonstrating improved reimbursable anesthesia time documentation.一项自动化电子提醒的随机试验,证明了可改善可计费麻醉时间记录。
J Clin Anesth. 2013 Mar;25(2):110-4. doi: 10.1016/j.jclinane.2012.06.020. Epub 2013 Jan 17.
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BMJ Qual Saf. 2012 Oct;21(10):850-4. doi: 10.1136/bmjqs-2011-000666. Epub 2012 Jul 7.
3
Anesthesia information management systems: past, present, and future of anesthesia records.麻醉信息管理系统:麻醉记录的过去、现在与未来
Mt Sinai J Med. 2012 Jan-Feb;79(1):154-65. doi: 10.1002/msj.21281.
4
Anatomy of an anesthesia information management system.麻醉信息管理系统剖析
Anesthesiol Clin. 2011 Sep;29(3):355-65. doi: 10.1016/j.anclin.2011.05.013.
5
Manual editing of automatically recorded data in an anesthesia information management system.麻醉信息管理系统中自动记录数据的人工编辑
Anesthesiology. 2008 Nov;109(5):811-5. doi: 10.1097/ALN.0b013e3181895f70.
6
Breathing easy: auditing your anesthesia practice revenue cycle.轻松呼吸:审计您的麻醉业务收入周期。
Healthc Financ Manage. 2007 Dec;61(12):74-6, 78.
7
Zero end-digit preference in recorded blood pressure and its impact on classification of patients for pharmacologic management in primary care - PREDICT-CVD-6.记录血压时零尾数偏好及其对基层医疗中患者药物治疗管理分类的影响——PREDICT-CVD-6研究
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9
Automated documentation error detection and notification improves anesthesia billing performance.自动化文档错误检测与通知可提高麻醉计费绩效。
Anesthesiology. 2007 Jan;106(1):157-63. doi: 10.1097/00000542-200701000-00025.
10
The Visual Analog rating Scale of health-related quality of life: an examination of end-digit preferences.健康相关生活质量的视觉模拟评分量表:对末位数字偏好的考察。
Health Qual Life Outcomes. 2005 Nov 14;3:71. doi: 10.1186/1477-7525-3-71.

麻醉开始和结束时间是随机分布的吗?电子记录的影响。

Are anesthesia start and end times randomly distributed? The influence of electronic records.

作者信息

Deal Litisha G, Nyland Michael E, Gravenstein Nikolaus, Tighe Patrick

机构信息

Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL 32610-0254, USA.

University of Florida College of Medicine, Gainesville, FL 32610, USA.

出版信息

J Clin Anesth. 2014 Jun;26(4):264-70. doi: 10.1016/j.jclinane.2013.10.016. Epub 2014 May 20.

DOI:10.1016/j.jclinane.2013.10.016
PMID:24856798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4099295/
Abstract

STUDY OBJECTIVE

To perform a frequency analysis of start minute digits (SMD) and end minute digits (EMD) taken from the electronic, computer-assisted, and manual anesthesia billing-record systems.

DESIGN

Retrospective cross-sectional review.

SETTING

University medical center.

MEASUREMENTS

This cross-sectional review was conducted on billing records from a single healthcare institution over a 15-month period. A total of 30,738 cases were analyzed. For each record, the start time and end time were recorded. Distributions of SMD and EMD were tested against the null hypothesis of a frequency distribution equivalently spread between zero and nine.

MAIN RESULTS

SMD and EMD aggregate distributions each differed from equivalency (P < 0.0001). When stratified by type of anesthetic record, no differences were found between the recorded and expected equivalent distribution patterns for electronic anesthesia records for start minute (P < 0.98) or end minute (P < 0.55). Manual and computer-assisted records maintained nonequivalent distribution patterns for SMD and EMD (P < 0.0001 for each comparison). Comparison of cumulative distributions between SMD and EMD distributions suggested a significant difference between the two patterns (P < 0.0001).

CONCLUSION

An electronic anesthesia record system, with automated time capture of events verified by the user, produces a more unified distribution of billing times than do more traditional methods of entering billing times.

摘要

研究目的

对电子、计算机辅助和手工麻醉计费记录系统中的起始分钟数字(SMD)和结束分钟数字(EMD)进行频率分析。

设计

回顾性横断面研究。

地点

大学医学中心。

测量

该横断面研究对一家医疗机构15个月期间的计费记录进行。共分析了30738例病例。对于每份记录,记录起始时间和结束时间。对SMD和EMD的分布进行检验,以验证其频率分布在0到9之间是否均匀的原假设。

主要结果

SMD和EMD的总体分布均与均匀分布不同(P < 0.0001)。按麻醉记录类型分层时,电子麻醉记录的起始分钟(P < 0.98)或结束分钟(P < 0.55)的记录分布与预期的均匀分布模式之间未发现差异。手工和计算机辅助记录的SMD和EMD分布保持非均匀分布模式(每次比较P < 0.0001)。SMD和EMD分布的累积分布比较表明两种模式之间存在显著差异(P < 0.0001)。

结论

电子麻醉记录系统通过用户验证自动捕获事件时间,与更传统的计费时间录入方法相比,能产生更统一的计费时间分布。