A levels, readiness, and impact evaluation model for GS1 adoption in healthcare

Nabil Lehlou; Ronald Rardin; Nebil Buyurgan; Raja Jayaraman; Vijith Varghese; Angelica Burbano; Ashraf Hajiyev; Eghbal Rashidi; Paiman Farrokhvar

A levels, readiness, and impact evaluation model for GS1 adoption in healthcare

Nabil Lehlou
, Ronald Rardin
, Nebil Buyurgan
, Raja Jayaraman
, Vijith Varghese
, Angelica Burbano
, Ashraf Hajiyev
, Eghbal Rashidi
, Paiman Farrokhvar

Management Science & Engineering

University of Arkansas

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

The use of GS1 data standards is envisioned to improve the efficiency of healthcare supply chain, as it did for retail. Care providers willing to adopt such a strategy in some or all of their operations often need to invest in process changes and technological installations or upgrades; however, they struggle to project returns on those investments and hence, find uncertain ROI a barrier to adoption. We present a hierarchical comprehensive model that helps potential adopters of various parts of the standards (what we term levels) evaluate their readiness requirements and quantify the impacts of their potential decisions in terms of non-monetary performance measures, such as productivity. The model design is showcased through practical examples.

Original language	British English
State	Published - 2011
Event	61st Annual Conference and Expo of the Institute of Industrial Engineers - Reno, NV, United States Duration: 21 May 2011 → 25 May 2011

Conference

Conference	61st Annual Conference and Expo of the Institute of Industrial Engineers
Country/Territory	United States
City	Reno, NV
Period	21/05/11 → 25/05/11

Keywords

Data standards
Decision making
GS1
Healthcare
Return on investment

Cite this

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title = "A levels, readiness, and impact evaluation model for GS1 adoption in healthcare",

abstract = "The use of GS1 data standards is envisioned to improve the efficiency of healthcare supply chain, as it did for retail. Care providers willing to adopt such a strategy in some or all of their operations often need to invest in process changes and technological installations or upgrades; however, they struggle to project returns on those investments and hence, find uncertain ROI a barrier to adoption. We present a hierarchical comprehensive model that helps potential adopters of various parts of the standards (what we term levels) evaluate their readiness requirements and quantify the impacts of their potential decisions in terms of non-monetary performance measures, such as productivity. The model design is showcased through practical examples.",

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T1 - A levels, readiness, and impact evaluation model for GS1 adoption in healthcare

AU - Lehlou, Nabil

AU - Rardin, Ronald

AU - Buyurgan, Nebil

AU - Jayaraman, Raja

AU - Varghese, Vijith

AU - Burbano, Angelica

AU - Hajiyev, Ashraf

AU - Rashidi, Eghbal

AU - Farrokhvar, Paiman

PY - 2011

Y1 - 2011

N2 - The use of GS1 data standards is envisioned to improve the efficiency of healthcare supply chain, as it did for retail. Care providers willing to adopt such a strategy in some or all of their operations often need to invest in process changes and technological installations or upgrades; however, they struggle to project returns on those investments and hence, find uncertain ROI a barrier to adoption. We present a hierarchical comprehensive model that helps potential adopters of various parts of the standards (what we term levels) evaluate their readiness requirements and quantify the impacts of their potential decisions in terms of non-monetary performance measures, such as productivity. The model design is showcased through practical examples.

AB - The use of GS1 data standards is envisioned to improve the efficiency of healthcare supply chain, as it did for retail. Care providers willing to adopt such a strategy in some or all of their operations often need to invest in process changes and technological installations or upgrades; however, they struggle to project returns on those investments and hence, find uncertain ROI a barrier to adoption. We present a hierarchical comprehensive model that helps potential adopters of various parts of the standards (what we term levels) evaluate their readiness requirements and quantify the impacts of their potential decisions in terms of non-monetary performance measures, such as productivity. The model design is showcased through practical examples.

KW - Data standards

KW - Decision making

KW - GS1

KW - Healthcare

KW - Return on investment

UR - https://www.scopus.com/pages/publications/84900321136

M3 - Paper

AN - SCOPUS:84900321136

T2 - 61st Annual Conference and Expo of the Institute of Industrial Engineers

Y2 - 21 May 2011 through 25 May 2011

ER -

A levels, readiness, and impact evaluation model for GS1 adoption in healthcare

Abstract

Conference

Keywords

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Cite this