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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Improvements to Information Flow in the Physician Order Tracking Process

Doudareva, Evgueniia 22 November 2013 (has links)
In an emergency department (ED), information flow is of high value, as the ability to react quickly directly affects the patients’ well being. One of the gaps in the information flow is in the order tracking process. This paper focuses on modelling the feedback in this process from the order being issued until it has been fulfilled. We address this problem using discrete-event simulation. Additionally, we use the mathematical theory of communication to evaluate the information con- tent in the current and proposed systems. We perform computational tests on these models to compare their performance. Experimental results show that the problem can be effectively modelled using our approach and the effects of feedback on the physician decision-making can be better understood. The results indicate that additions of as little as one point of feedback have practically significant effects on the amount of time that an order spends in the system.
2

Improvements to Information Flow in the Physician Order Tracking Process

Doudareva, Evgueniia 22 November 2013 (has links)
In an emergency department (ED), information flow is of high value, as the ability to react quickly directly affects the patients’ well being. One of the gaps in the information flow is in the order tracking process. This paper focuses on modelling the feedback in this process from the order being issued until it has been fulfilled. We address this problem using discrete-event simulation. Additionally, we use the mathematical theory of communication to evaluate the information con- tent in the current and proposed systems. We perform computational tests on these models to compare their performance. Experimental results show that the problem can be effectively modelled using our approach and the effects of feedback on the physician decision-making can be better understood. The results indicate that additions of as little as one point of feedback have practically significant effects on the amount of time that an order spends in the system.

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