Literature DB >> 17091789

Enhancing patient safety through electronic medical record documentation of vital signs.

Pauline Gearing1, Christine M Olney, Kim Davis, Diego Lozano, Laura B Smith, Bruce Friedman.   

Abstract

As technology becomes more sophisticated in healthcare, there is increasing need to measure its impact on key quality indicators, such as error reduction, patient safety, and cost-benefit ratios. When a product is designed to decrease medical errors, the baseline error rate must be determined before implementation to accurately measure the impact. Given the opportunity to adopt a technology that would eliminate the need to manually document vital signs, a large Florida hospital decided to measure the current process and error rate of vital signs documentation. University Community Hospital in Tampa, Fla., designed a two-phase study to evaluate this process. Phase I of the study evaluated errors in the electronic medical record and traditional manual documentation. The results demonstrate that use of an EMR can reduce vital sign documentation errors by more than half compared with traditional manual documentation in paper charts. Researchers found the error rate for electronic vital signs documentation to be less than 5 percent, compared with the paper chart error rate of 10 percent.

Entities:  

Mesh:

Year:  2006        PMID: 17091789

Source DB:  PubMed          Journal:  J Healthc Inf Manag        ISSN: 1099-811X


  4 in total

1.  Medical record documentation and symptom management at the end of life in the NICU.

Authors:  Christine A Fortney; Deborah K Steward
Journal:  Adv Neonatal Care       Date:  2015-02       Impact factor: 1.968

2.  A Mobile App (BEDSide Mobility) to Support Nurses' Tasks at the Patient's Bedside: Usability Study.

Authors:  Frederic Ehrler; Thomas Weinhold; Jonathan Joe; Christian Lovis; Katherine Blondon
Journal:  JMIR Mhealth Uhealth       Date:  2018-03-21       Impact factor: 4.773

3.  Implementation of provider-based electronic medical records and improvement of the quality of data in a large HIV program in Sub-Saharan Africa.

Authors:  Barbara Castelnuovo; Agnes Kiragga; Victor Afayo; Malisa Ncube; Richard Orama; Stephen Magero; Peter Okwi; Yukari C Manabe; Andrew Kambugu
Journal:  PLoS One       Date:  2012-12-17       Impact factor: 3.240

4.  Assessing the Usability of Six Data Entry Mobile Interfaces for Caregivers: A Randomized Trial.

Authors:  Frederic Ehrler; Guy Haller; Evelyne Sarrey; Magali Walesa; Rolf Wipfli; Christian Lovis
Journal:  JMIR Hum Factors       Date:  2015-12-15
  4 in total

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