Difference between revisions of "Automated detection of physiologic deterioration in hospitalized patients"

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A review of the article title Automated detection of physiologic deterioration in hospitalized patients. <ref name = "Evans">Evans, R. S., Kuttler, K. G., Simpson, K. J., Howe, S., Crossno, P. F., Johnson, K. V., ... & Clemmer, T. P. (2015). Automated detection of physiologic deterioration in hospitalized patients. Journal of the American Medical Informatics Association, 22(2), 350-360.</ref>
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A review of the article title Automated detection of physiologic deterioration in hospitalized patients. <ref name="evans">Evans et al 2015. Automated detection of physiologic deterioration in hospitalized patients http://www.ncbi.nlm.nih.gov/pubmed/25164256 </ref>
  
 
==Introduction==
 
==Introduction==
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*monitored patients every 5 min
 
*monitored patients every 5 min
 
*Automated pages for the early physiologic deterioration
 
*Automated pages for the early physiologic deterioration
By doing this the study showed a decrease in mortality and a increase in the medical emergency team calls on floor A.  On floor B no significant differences where found.  
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This study indicated a decrease in mortality and an increase in the medical emergency team calls on floor A.  On floor B no significant differences were found.
  
 
==Conclusions==
 
==Conclusions==
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==Comments==
 
==Comments==
This was a very interesting article to show how alerts can help with patient safety and decrease mortality in a hospital setting.
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This was a very interesting article to show how [[alerts]] can help with patient safety and decrease mortality in a hospital setting.
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==Article of Interest==
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[[A Framework for Evaluating the Appropriateness of Clinical Decision Support Alerts and Responses]]
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== References ==
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<references/>
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[[Category:Reviews]]
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[[Category: HI5313-2015-FALL]]

Latest revision as of 16:18, 8 October 2015

A review of the article title Automated detection of physiologic deterioration in hospitalized patients. [1]

Introduction

In hospitalized patients five percent of patient experience physiologic deterioration. The article discussed how automated detection of physiologic deterioration.

Methods

  • 2 year observational study
  • Level 1 trauma center
  • Floor A - 33 bed oncology floor
  • Floor B - 33 bed ICU surgical trauma floor

Results

  • monitored patients every 5 min
  • Automated pages for the early physiologic deterioration

This study indicated a decrease in mortality and an increase in the medical emergency team calls on floor A. On floor B no significant differences were found.

Conclusions

The study has shown that there was a decrease in mortality and an increase in medical emergency team calls on floor A. This did have an effect on longer length of stay and an increase in ICU transfers. Nurses did state that they felt more confident about their assessments. This also gave nurses the ability to ask for help when patients started to deteriorate.

Comments

This was a very interesting article to show how alerts can help with patient safety and decrease mortality in a hospital setting.


Article of Interest

A Framework for Evaluating the Appropriateness of Clinical Decision Support Alerts and Responses

References

  1. Evans et al 2015. Automated detection of physiologic deterioration in hospitalized patients http://www.ncbi.nlm.nih.gov/pubmed/25164256