After specifying the inclusion criteria of “clinical documentation‚” “documentation errors‚” and “physicians” as well as the exclusion criteria of “nursing‚” the final number of articles included were 15. The articles reviewed clinical documentation process and strategies along with the impact of documentation errors made by physicians. A summary of the articles can be seen below in Table 1. Documentation Errors and Financial Correlations: Zhang et al. (2013)‚ copy and pasting within electronic
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Reduce Risk for Errors CPOE and EMR have been known to decrease medical errors. EMR help prevent unnecessary orders and diagnostic test. EMR also prevents duplication of the same test and orders. Medication are shown in the electronic medical record which providers have access to. The ability to access a patient’s medications without having to rely on just patient information will lower risk. A patient may not always be certain of a dosage or the exact name of a medication and the electronic medical
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2006‚ suggesting that Nationwide’s decision to cancel policies in light of the calm hurricane seasons (in Florida) in 2005-07 may have cost the company potential revenue and customer goodwill. Do you think Rommel’s quote about making a ‘sound business decision’ reveals any perceptual or decision-making biases? Why or Why not? A: Jeff Rommel’s quote about making a ‘sound business decision’ reveals two main perceptual or decision-making biases. The first decision-making bias is overconfidence bias
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HUMAN ERROR IN AVIATION MOST COMMON ERORS YOSI ASSAF SFTY-345 / MITTEN SWARTZWELDER 12/5/10 Introduction: Since the first aircraft flight made by the Wright brothers in 1903‚ the aviation industry has grown into billions of dollars of annual business throughout the world. By information from the international air transport association (IATA)‚ over 1.6 billion passengers use the world airlines for business and leisure travel each year‚ also 40% of the world trade goods are transported by
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While figuring out what causes people to behave in the way that they do‚ we cannot forget the biases that may come along with it. We tend to make snap judgements of people‚ as the book says we have a “gut feeling.” However‚ going by these “gut feelings” we tend to choose one attribution over the other and they usually are not very nice attributions. For example‚ in class when asked to list reasons a person may be rude to you on the road‚ most of the reasons we came up with were that the person
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Despite the fact that this Court has found the Hurst error harmless in some cases without evidentiary development‚ this Court has never done so when a defendant has proffered evidence and been denied a hearing. Appellant requested a hearing based on a substantial evidentiary proffer showing the extent of the Hurst error in his case. This proffer cast doubt on what the outcome of his penalty phase would have been without the constitutional error. In light of Appellant’s proffer‚ the circuit court
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Decision making is an essential leadership skill. If you can learn how to make timely‚ well-considered decisions‚ then you can lead your team to well-deserved success. If‚ however‚ you make poor decisions‚ your time as a leader will be brutally short. To determine what leads people to make bad decisions‚ it’s helpful to consider what we would need to create the ideal decision-making environment. Most theories on decision-making are based on what the rational decision maker will do when faced with
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Program Proposal: A seminar and workshop entitled “The danger of Medication error due to understaffed nurses.” BACKGROUND OF THE PROBLEM The nursing profession has traditionally accepted responsibility to assure that safe and accessible health care is available to the public at all times‚ including times when nurses are in short supply. The profession continues to accept such responsibility and also recognizes the need to identify strategies to promote the availability
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Lab 1: Decision Trees and Decision Rules Evgueni N. Smirnov smirnov@cs.unimaas.nl August 21‚ 2010 1. Introduction Given a data-mining problem‚ you need to have data that represent the problem‚ models that are suitable for the data‚ and of course a data-mining environment that contains the algorithms capable of learning these models. In this lab you will study two well-known classification problems. You will try to find classification models for these problems using decision
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speaker‚ I often make written grammar errors comparable to Folse (2009)‚ “20 common errors made by native speakers” (p. 39). Therefore‚ when tasked with distinguishing native speakers and “ELL grammar errors” quiz (p. 4)‚ I completely missed the possessive “students’” in number 10. On the other hand‚ I was able to detect ELL grammar errors contributing this success to my frequent interaction with immigrant populations. The most apparent being word order errors. Receiving a low score in the “ELL grammar
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