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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Health Systemsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Health Systems
Article . 2014 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Integrating systems engineering practice with health-care delivery

Authors: William V Padula; Michael P Duffy; Taygan Yilmaz; Manish K Mishra;

Integrating systems engineering practice with health-care delivery

Abstract

Health-care delivery is a complex and fragmented system with work-around culture. Improving health-care delivery requires innovating system interventions that redesign processes for consistent implementation of evidence-based practices (EBPs). Systems engineering is an approach that involves anticipating ineffective processes that jeopardize quality, and designing interventions to overcome such shortcomings. This approach is based on systems teaching about reflexivity, which when addressed can support consistent EBP and assesses how the newly designed system meets this consistency. Integrating a systems engineering approach to implementing EBP may effectively address complex issues such as hospital-acquired pressure ulcer prevention, which has an EBP protocol that is not consistently implemented without system redesign. Engineering approaches and methods including Plan-Do-Study-Act (PDSA), Situation-Background-Assessment-Recommendations (SBAR), stochastic modeling, House of Quality, and statistical process control charts with lean six sigma provide a structured approach to identifying points of successful implementation for EBPs that can subvert work-around culture. This perspective piece reviews successful approaches of systems engineering to solve the problem of clinical work-arounds and puts forward the case for its wider application to health-care delivery systems that could benefit from standardized EBPs.

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    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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