A Novel GS1 Data Standard Adoption Roadmap for Healthcare Providers

2011 ◽  
Vol 6 (4) ◽  
pp. 42-59 ◽  
Author(s):  
Nebil Buyurgan ◽  
Ronald L. Rardin ◽  
Raja Jayaraman ◽  
Vijith M. Varghese ◽  
Angelica Burbano
Keyword(s):  
Supply Chain ◽  
Healthcare Providers ◽  
Healthcare Industry ◽  
Data Standards ◽  
Pilot Studies ◽  
Potential Benefits ◽  
Standards Adoption ◽  
Expected Benefits ◽  
Flexible Foundation ◽  
Different Levels

The use of GS1 Data Standards is envisioned to improve the efficiency of the healthcare supply chain as it did for the retail supply chain. The healthcare industry, especially providers, acknowledges their potentials; however, there are misconceptions and lack of understanding the associated costs and expected benefits. This study presents an adoption roadmap for GS1 Data Standards at the provider level in healthcare industry. The developed roadmap is a result of systematic efforts at conducting extensive studies, examining the best practices, and interacting with industry leaders. The adoption roadmap includes different levels and sublevels to provide a flexible foundation for healthcare providers where alternative adoption paths will be available for their immediate needs and requirements. Sublevels have a recommended precedence structure to realize maximum gains from the adoptions. The feasibility and practicality of the developed roadmap has been validated by two pilot studies, which were conducted in collaboration with two hospital provider partners. The pilot studies helped identify potential benefits as well as roadblocks and barriers for different levels of GS1 Data Standards adoption. The results indicate that the adoption is not an easy process and may require many workarounds; however, the potential gains are significant.

A Novel GS1 Data Standard Adoption Roadmap for Healthcare Providers

2013 ◽  
pp. 41-57
Author(s):  
Nebil Buyurgan ◽  
Ronald L. Rardin ◽  
Raja Jayaraman ◽  
Vijith M. Varghese ◽  
Angelica Burbano
Keyword(s):  
Supply Chain ◽  
Healthcare Providers ◽  
Healthcare Industry ◽  
Data Standards ◽  
Pilot Studies ◽  
Potential Benefits ◽  
Standards Adoption ◽  
Expected Benefits ◽  
Flexible Foundation ◽  
Different Levels

The use of GS1 Data Standards is envisioned to improve the efficiency of the healthcare supply chain as it did for the retail supply chain. The healthcare industry, especially providers, acknowledges their potentials; however, there are misconceptions and lack of understanding the associated costs and expected benefits. This study presents an adoption roadmap for GS1 Data Standards at the provider level in healthcare industry. The developed roadmap is a result of systematic efforts at conducting extensive studies, examining the best practices, and interacting with industry leaders. The adoption roadmap includes different levels and sublevels to provide a flexible foundation for healthcare providers where alternative adoption paths will be available for their immediate needs and requirements. Sublevels have a recommended precedence structure to realize maximum gains from the adoptions. The feasibility and practicality of the developed roadmap has been validated by two pilot studies, which were conducted in collaboration with two hospital provider partners. The pilot studies helped identify potential benefits as well as roadblocks and barriers for different levels of GS1 Data Standards adoption. The results indicate that the adoption is not an easy process and may require many workarounds; however, the potential gains are significant.

The Rise and Application of Artificial Intelligence in Healthcare

2021 ◽  
pp. 28-49
Author(s):  
Ivan Khoo Yi ◽  
Andrew Fang Hao Sen
Keyword(s):  
Artificial Intelligence ◽  
Financial Institutions ◽  
Molecular Level ◽  
Healthcare Providers ◽  
Pharmaceutical Companies ◽  
Healthcare Industry ◽  
Practice Of Medicine ◽  
Potential Benefits ◽  
Legal Professional ◽  
Medical Domain

The overall purpose of this chapter will be to broadly explore both the existing and possible implementations of artificial intelligence (AI) in healthcare. The scope of this chapter will be explored from the unique perspectives of various stakeholders in the healthcare industry, namely the healthcare providers, patients, pharmaceutical companies, healthcare financial institutions, and policymakers. The chapter will seek to identify the potential benefits and pitfalls that faced by these stakeholders in implementing the use of AI, from the molecular level to a macroeconomics level; as well as seeking to understand the legal, professional, and ethical boundaries of the medical domain that are challenged as AI increasingly becomes irreversibly intertwined with the practice of medicine.

Supply Chain-Related Adverse Events and Patient Safety in Healthcare

2015 ◽  
Vol 10 (2) ◽  
pp. 14-33 ◽  
Author(s):  
Nebil Buyurgan ◽  
Paiman Farrokhvar
Keyword(s):  
Patient Safety ◽  
Supply Chain ◽  
Adverse Events ◽  
System Performance ◽  
Management Practices ◽  
Healthcare Providers ◽  
System Efficiency ◽  
Data Standards ◽  
Chain Management ◽  
Standard Product

This research investigates adverse events and patient safety in healthcare due to poor supply chain management practices, and inadequate and disorganized product validation procedures. Focusing on commodity medical and surgical products, this research investigates correct product validation points for maximum patient safety. This study also explores benefits of standard product identifying technologies such as HIBC or GS1 data standards as well as automated validation systems such as barcode or Auto ID to minimize workflow interruptions. Site visits and phone interviews are conducted with six healthcare providers to document common product validation practices and procedures. Based on observations and collected data, a simulation model is developed. Different scenarios are compared for patient safety, care delay, and system efficiency. The results show that validation points during PAR picking or bedside product administration, and warehouse picking operations provide optimal overall system performance. The results also indicate that standard product identifying technologies and automated validation systems significantly impact the efficiency of supply chain.

A decision support tool for healthcare providers to evaluate readiness and impacts of adopting supply chain data standards

2013 ◽  
Vol 3 (2) ◽  
pp. 110-126 ◽  
Author(s):  
Raja Jayaraman ◽  
Ronald L. Rardin ◽  
Nebil Buyurgan ◽  
Vijith Varghese ◽  
Angelica Burbano Collazos
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Healthcare Providers ◽  
Decision Support Tool ◽  
Data Standards ◽  
Support Tool

Implementation of Vendor Managed Inventory (VMI) in Managing Intra Ocular Lenses (IOL) in Eye Care Organization

2015 ◽  
Vol 2 (9) ◽  
pp. 1 ◽  
Author(s):  
Nancy Sharma
Keyword(s):  
Supply Chain ◽  
Operational Efficiency ◽  
Care Organization ◽  
Healthcare Industry ◽  
Vendor Managed Inventory ◽  
Eye Care ◽  
Inventory Cost ◽  
Innovative Strategies ◽  
Industry Hospital

Nowadays healthcare has a completely changed scenario as compared with the early 90’s. As more and more profit generating hospitals are coming in the industry, hospital and healthcare is no longer remains a charitable or philanthropically act. So to be remain in the market and compete within hospitals need to now focus on the different and innovative strategies in every aspect. Supply chain and operations is one of the important key of any organization which directly impact on business and revenue. Vendor Managed inventory is not a new concept but it is not efficiently utilized in service and healthcare industry as of now. Some retail and automobile industries has utilized the concept and also able to reduce the inventory cost with manageable position of stock out and over stocking position. As hospital’s key functioning is to deal with life of patients on day to day so position of material need to be necessarily on right time and right place. This paper is based on the insight of the application of vendor managed inventory in the management of inventory for the IOL (Intra ocular lenses) that is used for the surgeries in the eye hospital. We will also study the questionnaire on the acceptability of the concept of vendor managed inventory in the hospital that will help to assess the acceptability of VMI in hospital and healthcare industry. Also a framework matrix is designed to understand the relation of VMI with the revenue earning and smoothening of operational efficiency.

INCREASING ADOPTION OFSOCIAL MEDIA IN HEALTHCARE ORGANIZATIONS : OPPORTUNITIES AND CONCERNS

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Sharafat Hussain ◽  
Prof. Mohd. Abdul Azeem
Keyword(s):  
Health Care ◽  
Social Media ◽  
Social Networking ◽  
Health Care Organizations ◽  
Healthcare Providers ◽  
Healthcare Organizations ◽  
Online Questionnaire ◽  
Potential Benefits ◽  
Social Media Presence ◽  
Use Of Social Media

Adoption of social media amongst health care organizations is thriving. Healthcare providers have begun to connect with patients via social media. While some healthcare organizations have taken the initiative, numerous others are attempting to comprehend this new medium of opportunity. These organizations are finding that social networking can be an effective way to monitor brand, connecting with patients, community, and patient education and acquiring new talent. This study is conducted to identify the purpose of using social media, concerns, policy and its implementation and the overall experience of healthcare organizations with social media. To collect first hand data, online questionnaire was sent via LinkedIn to 400 US healthcare organizations and representatives out of which 117 responded and were taken further for analsysis. The results of this study confirm the thriving adoption, increased opportunities and cautious use of social media by healthcare organizations. The potential benefits present outweigh the risk and concerns associated with it. Study concluded that social media presence will continue to grow into the future and the field of healthcare is no exception.

scholarly journals Using the Analytical Network Process to Select the Best Strategy for Reducing Risks in a Supply Chain

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
L. Hosseini ◽  
R. Tavakkoli-Moghaddam ◽  
B. Vahdani ◽  
S. M. Mousavi ◽  
R. Kia
Keyword(s):  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Supply Chain Network ◽  
Total Quality ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Supply Chain Risks ◽  
Hierarchy Process ◽  
Different Levels

This paper considers four types of the most prominent risks in the supply chain. Their subcriteria and relations between them and within the network are also considered. In a supply chain, risks are mostly created by fluctuations. The aim of this study is to adopt a strategy for eliminating or reducing risks in a supply chain network. Having various solutions helps the supply chain to be resilient. Therefore, five alternatives are considered, namely, total quality management (TQM), leanness, alignment, adaptability, and agility. This paper develops a new network of supply chain risks by considering the interactions between risks. Perhaps, the network elements have interacted with some or all of the factors (clusters) or subfactors. We constitute supply chain risks in the analytic network process (ANP), which attracted less attention in the previous studies. Most of the studies about making a decision in supply chains have been applied in analytic hierarchy process (AHP) network. The present study considers the ANP as a well-known multicriteria decision making (MCDM) technique to choose the best alternative, because of the interdependency and feedbacks of different levels of the network. Finally, the ANP selects TQM as the best alternative among the considered ones.

Healthcare supply chain management: literature review and some issues

2018 ◽  
Vol 15 (3) ◽  
pp. 265-287 ◽  
Author(s):  
Bhavana Mathur ◽  
Sumit Gupta ◽  
Makhan Lal Meena ◽  
G.S. Dangayach
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Organizational Performance ◽  
Critical Role ◽  
Sample Survey ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Potential Benefits

PurposeThe purpose of this paper is to examine the causal linkages among supply chain practices, effectiveness of supply chain performance (SCP) and organizational performance (OP) in Indian healthcare industries.Design/methodology/approachThis paper is helpful in developing a framework for linking a healthcare supply chain practice to its OP, and thus identifies how such a linkage can be connected to the effectiveness of SCP. Such effort also enables the authors to derive a set of recommended supply chain practices for SC performance.FindingsFrom the literature review, this paper finds that, in the context of Indian healthcare industries, efficient SC performance may play a critical role for overall OP improvement, as there is a close interrelationship between supply chain management (SCM) practices and SCP that may have a more significant effect on OP improvement.Research limitations/implicationsThe principle limitation of the paper is that it is performed only in a particular industry and with a questionnaire survey which could be extended in future for other industries also. Another limitation of the paper is that it is focused only on the SCP of medical device and equipment supply chain which is a small portion of the whole healthcare supply chain, and therefore requires further research covering various other domains of healthcare supply chain. Another limitation of the study is that the sample survey has been taken from only one respondent per company at one point of time which may create biasness in the results. Thus, future research should collect data through multiple members from the organization.Practical implicationsThis study contributes to know the effect of SCM practices on healthcare SCP and provides a practical and useful tool to evaluate the extent of effectiveness of SCP and finally their impact on the healthcare OP. Finally, this study provides conceptual and descriptive literature regarding SCM practices that leads to improvement in healthcare performance.Social implicationsThis study adds to the knowledge on healthcare SCM performance by exploring the relationship between supply chain practices, healthcare SCP and healthcare OP and by developing and testing a research framework thus help in improving patient satisfaction.Originality/valueThis study attempts to show how the potential benefits of supply chain practices can no longer be ignored in healthcare supply chain.

scholarly journals The relationship between the logistics complexity of manufacturing companies and their supply chain management

Production ◽  
2013 ◽  
Vol 24 (2) ◽  
pp. 233-254 ◽  
Author(s):  
Peter Fernandes Wanke ◽  
Henrique Luiz Corrêa
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Binary Logistic Regression ◽  
Manufacturing Companies ◽  
Chain Management ◽  
Significant Relationships ◽  
Comprehensive Literature Review ◽  
The Relationship ◽  
Different Levels ◽  
Contingency Approach

This study aims to investigate whether, and the means by which, supply chain managers of large manufacturing companies adopt a context-dependent approach (also called contingency approach) in their supply chain decisions; it empirically explores the correlation between logistics complexity-related contextual conditions and supply chain management (SCM) objectives and decision areas. The study involves a comprehensive literature review, followed by an analysis of survey data (based on a sample of 108 large manufacturing companies in Brazil), using cluster analysis, factor analysis and binary logistic regression. In this study, we not only investigate the major effects of supply chain objectives and decision areas as predictors of the logistics complexity of manufacturing but also investigate their second order interactions. Statistically significant relationships were found between logistics complexity-related contextual conditions and objectives and decision areas involving the supply chain. The managers of large companies who were surveyed considered different objectives and decision areas to be critical to the achievement of supply chain excellence when their companies had different levels of logistics complexity.

The effect of supplier development initiatives on purchasing performance: a structural model

2005 ◽  
Vol 10 (4) ◽  
pp. 289-301 ◽  
Author(s):  
Cristóbal Sánchez‐Rodríguez ◽  
David Hemsworth ◽  
Ángel R. Martínez‐Lorente
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Essential Element ◽  
Equation Modeling ◽  
Supplier Development ◽  
Manufacturing Companies ◽  
Content Type ◽  
Different Levels

PurposeSupply chain management is an increasingly important organizational concern, and proper management of supplier relationships constitutes one essential element of supply chain success. However, there is little empirical research that has tested the effect of supplier development on performance. The main objective is to analyze the effect of supplier development practices with different levels of implementation complexity on the firm's purchasing performance.Design/methodology/approachThree supplier development constructs were defined: basic supplier development, moderate supplier development, and advanced supplier development. Three structural models were hypothesized and tested using structural equation modeling through field research on a sample of 306 manufacturing companies in Spain.FindingsIdentified important interrelationships among the various supplier development practices, basic, moderate, and advanced. Also indicated that the implementation of supplier development practices significantly contributes to the prediction of purchasing performance.Research limitations/implicationsThe use of a single key informant could be seen as a potential limitation of the study. The study was a cross‐sectional and descriptive sample of the manufacturing industry at a given point in time. A more stringent test of the relationships between the different levels of supplier development and performance requires a longitudinal study, or field experiment.Practical implicationsThis study focused on supplier development practices and revealed how involving suppliers in supplier development activities is important and may help buyers to increase their purchasing performance. The findings from the structural analysis should provide practicing managers with insights on how these practices and their benefits are related in terms of purchasing performance, thus affecting their ability to make better sourcing decisions.Originality/valueFills an important gap in the purchasing literature with respect to the area of supplier development. While there is much written about supplier development based on conceptual and case study research, this study is unique in that it is the first attempt to empirically model the relationships between different levels of supplier development and their impact on purchasing performance using a comprehensive set of practices.

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