Literature DB >> 19726926

Connected care: reducing errors through automated vital signs data upload.

Laura B Smith1, Laura Banner, Diego Lozano, Christine M Olney, Bruce Friedman.   

Abstract

Vital signs are a fundamental component of patient care. Omitted or inaccurately transcribed vital sign data could result in inappropriate, delayed, or missed treatment. A previous baseline study determined that error rates for vital signs captured on plain paper then entered into a paper chart or EMR were 10% and 4.4%, respectively. This study evaluated the impact of automated vital signs captured using a PDA with bar-code technology for patient identification. The PDA enabled the wireless capture and transmission of data directly from the vital sign monitor into the EMR. Researchers reviewed 1514 sets of vital signs collected electronically for accuracy and compared the error rate with data from the previous paper and EMR systems. Automated upload of vital signs directly into an EMR reduced the documentation error rate to less than 1%. This represented a significant reduction in vital sign documentation errors with the use of mobile technology when compared with traditional charting methods (P < .001). The automated vital sign data upload system helped promote a culture of patient safety by greatly reducing documentation error rates. Additional safety benefits may include improved timeliness to vital sign data and clinical work-flow processes.

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Year:  2009        PMID: 19726926     DOI: 10.1097/NCN.0b013e3181b21d65

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  6 in total

1.  Health information technology: integration of clinical workflow into meaningful use of electronic health records.

Authors:  Felicia M Bowens; Patricia A Frye; Warren A Jones
Journal:  Perspect Health Inf Manag       Date:  2010-10-01

2.  A Theoretical Framework for Understanding Creator-Consumer Information Interaction Behaviors in Healthcare Documentation Systems.

Authors:  Priyadarshini R Pennathur
Journal:  Appl Ergon       Date:  2020-01-10       Impact factor: 3.661

3.  Using a scripted data entry process to transfer legacy immunization data while transitioning between electronic medical record systems.

Authors:  J Michel; A Hsiao; A Fenick
Journal:  Appl Clin Inform       Date:  2014-03-26       Impact factor: 2.342

4.  Exploring Vital Sign Data Quality in Electronic Health Records with Focus on Emergency Care Warning Scores.

Authors:  Niclas Skyttberg; Rong Chen; Hans Blomqvist; Sabine Koch
Journal:  Appl Clin Inform       Date:  2017-08-30       Impact factor: 2.342

5.  Development and Comparative Performance of Physiologic Monitoring Strategies in the Emergency Department.

Authors:  David Kim; Boyang Tom Jin
Journal:  JAMA Netw Open       Date:  2022-09-01

6.  The value of vital sign trends in predicting and monitoring clinical deterioration: A systematic review.

Authors:  Idar Johan Brekke; Lars Håland Puntervoll; Peter Bank Pedersen; John Kellett; Mikkel Brabrand
Journal:  PLoS One       Date:  2019-01-15       Impact factor: 3.240

  6 in total

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