Healthcare supply chain management: macro and micro perspectives

Kritchanchai, Duangpun; Krichanchai, Sineenart; Hoeur, Soriya; Tan, Ah-Hwee

doi:10.17270/j.log.2019.371

Cited by 11 publications

(8 citation statements)

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“…Supply chain coordination and cooperation are operating with connections throughout the chain with materials and information flowing smoothly throughout supply chain operations in achieving efficiency. 37,38 The results of the study indicate that the compiled scale has acceptable validity and reliability. Each item on the scale can be explained according to its respective group of variables.…”

Section: Discussionmentioning

confidence: 84%

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Development of the information quality scale for health information supply chain type 2 diabetes mellitus management using exploratory factor analysis

Karimah

Kusnanto

Lazuardi

2023

Journal of Public Health Research

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Background: Research on the quality scale of the healthcare supply chain is still limited. This study aimed to assess the information quality of the supply chain model with a focus on construct validity. Studies related to information quality measurement generally focus on measuring the dimensions of the completeness of medical records and consumer perspectives. We intended to assess the scale based on doctors needed as care coordinators on type 2 diabetes mellitus or the Non-Insulin-Dependent-Diabetes-Mellitus (NIDDM) program in primary healthcare. Methods: Sixty-four primary healthcare doctors with an age range of 24–51 years were involved in this research. The scale obtained was formed from the assessment of the point of view of a panel of experts through the content validity index (CVI). The exploratory factor analysis (EFA) method was used to explore the scale of information quality in the information supply chain model for the NIDDM chronic disease management program. Result: The data analysis results indicated three main factors that affected the quality of the information supply chain model of NIDDM, namely accessibility, safety, and efficiency of information related to NIDDM. The results of the validity and reliability of the data showed that the scale used in this research was valid and reliable with a Cronbach alpha coefficient of 0.861. Conclusion: The scale developed in this research could be used to explore the quality of the information supply chain of NIDDM management in primary healthcare. Each item on the scale could explain the variables according to their respective groups.

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Section: Discussionmentioning

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Development of the information quality scale for health information supply chain type 2 diabetes mellitus management using exploratory factor analysis

Karimah

Kusnanto

Lazuardi

2023

Journal of Public Health Research

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“…Dado que la investigación en HSCM es reciente y se consolida como un nuevo campo de estudio, todavía hay un gran potencial para su investigación. de gestión de operaciones y gestión de la cadena de suministro en el sector salud (16,17), y aplican técnicas de modelado, formulan herramientas para la toma de decisiones con criterios múltiples (18), evalúan la relación de los actores en la cadena (19-21) y emplean estudios de casos descriptivos (22,23) y enfoques empíricos (24)(25)(26)(27). Para el análisis de las publicaciones por afiliaciones, se evaluó la ciudad donde se encuentra la institución en que el autor publicó su trabajo.…”

Section: Resultsunclassified

Revisión de literatura con análisis bibliométrico de la cadena de suministro hospitalaria

Ruíz-Orjuela

Gatica²,

Adarme-Jaimes³

2023

Ing.

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Contexto: El sector de la salud se ha enfrentado continuamente a los desafíos de disminuir costos y mejorar la calidad asistencial. Las investigaciones de la cadena de suministro en el sector salud han alcanzado un mayor interés en la comunidad científica. Se han publicado varios artículos relacionados con el tema, los cuales se centran en aspectos como el desempeño de la cadena, enfoques de gestión, administración de inventarios, evaluación y selección de proveedores, y algunos otros con áreas de enfoque más amplias. Método: Este artículo presenta una revisión de literatura y un análisis bibliométrico. El análisis comienza identificando los estudios publicados en los últimos diez años. Luego, se emplean herramientas bibliométricas que permiten identificar temas claves de investigación, sus interrelaciones y patrones de colaboración. Resultados: Esta investigación ayuda a ilustrar gráficamente las publicaciones sobre gestión de la cadena de suministro hospitalaria (HSCM), presentar la evolución a lo largo del tiempo e identificar áreas de interés de investigación actual y posibles líneas de investigación para el futuro. Los resultados identifican el estado de desarrollo y las principales tendencias en términos de impacto, principales revistas, artículos, temas, autores y países. Conclusiones: Las futuras investigaciones pueden concentrarse en estudios más innovadores desde múltiples dimensiones: cadena de suministro, gestión y organización, servicios de salud administración de operaciones, sostenibilidad, desempeño, contexto y tendencias.

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“…As part of the defect analysis of the barcode labels, A visual inspection system 30 was used to identify the packaging defects. The primary purpose to implement such a robust system was to reduce the counterfeit in drugs 25 being consumed by patients which required the study of all perspectives both micro and macro levels in the pharma supply chain 24 . Global Standards One (GS1) has been pioneering the use of barcoding technology 37 to enable traceability 28 of all drugs shipped out of the warehouse to enable accountability.…”

Section: Discussionmentioning

confidence: 99%

Design and Implementation of a Track n trace 2D Multi Scanner Bulk Code Reader for Pharmaceutical Packaging

Kasagani

Kakollu

2023

Int J Life Sci Pharm Res

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With various compliance initiatives surrounding the traceability of medical drugs coming into prominence and with federal regulations becoming more stringent, there is a need to efficiently manage the supply chain process involving drug packaging. To enable traceability of the drugs being packaged, many manufacturers are implementing barcoding of product labels which contains a minimum of the attributes namely GTIN, lot number, serial numbers, expiry date, manufacturing dates, etc., to enable traceability of the packaged item. Currently, manufacturers are looking for ways to keep their supply chain moving at an efficient and optimal process. One of the challenges was to build automated equipment providing a well-defined and properly structured framework for functioning, designing, and implementing of Track N Trace Counterfeit Risk Management (CRM) application to increase the speed of the aggregation with the child-to-parent aggregation and generation of online case labels after the required child's Quantity in Multi carton aggregation station. Track N Trace Counterfeit Risk Management (CRM) allows the manufacturers to establish the parent-child relationship during packaging their drugs. Also, various guidelines US Drug Supply Chain Security Act (DSCSA), EU regulation (Falsified Medicines Directive-FMD), Brazilian Health Regulatory Agency (ANVISA), Indonesia's National Agency of Drug and Food Control (NADFC), India’s Directorate General of Foreign Trade - DGFT, and Australia TGA will need to be integrated into one single source of equipment that can meet with their barcoding regulation for tracking of drugs packed. Machine Vision systems are finding themselves in use in the pharma machinery and the "multi-carton" equipment that has been built for implementation for pharmaceutical packaging uses the vision systems architecture. We aimed to build a counterfeit risk management software solution that ensures compliance with various regulatory agencies by building a common framework that can be extensible for any further changes to the guidelines and/or additional regulatory guidelines from other countries. Lots of design architecture work has been refined through continuous process improvement practices and we developed a software tool that improves efficiency and requires minimal changes to the current manufacturing/packaging supply chain lines.

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Healthcare supply chain management: macro and micro perspectives

Cited by 11 publications

References 0 publications

Development of the information quality scale for health information supply chain type 2 diabetes mellitus management using exploratory factor analysis

Development of the information quality scale for health information supply chain type 2 diabetes mellitus management using exploratory factor analysis

Revisión de literatura con análisis bibliométrico de la cadena de suministro hospitalaria

Design and Implementation of a Track n trace 2D Multi Scanner Bulk Code Reader for Pharmaceutical Packaging

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