Transforming Public Healthcare Supply Chains: A Framework to Measure Efficiency of Heterogeneous Public Healthcare Supply Chains across Nation for Improving Drug Availability
محورهای موضوعی : Decision support systemsAbhishek Verma 1 , Rekha Agarwal 2 , Jitendra Singh 3
1 - AIIT, Amity University, Noida, Uttar Pradesh
2 - AIIT, Amity University, Noida, Uttar Pradesh
3 - Centre For development of Advanced Computing, Delhi
کلید واژه: Public Health Informatics, Indian Health Framework, Deduplication, Digital Health, Drugs and Vaccines Availability, Essential Drugs and Vaccines, Extraction Transformation and loading (ETL), Public Health, Supply Chain, Warehouse,
چکیده مقاله :
Health in Indian scenario is a state subject which means that states usually use their independent respective IT systems based on their specific needs and requirements. This brings a big challenge in terms of diversified nomenclatures used in across Indian states and Union Territories (UTs). Centralized data analysis is required by central agencies like Ministry of Health and Family Welfare (MoHFW) and the National Health Systems Resource Centre (NHSRC) for performance monitoring and policy making. This diversified nomenclature poses a significant hindrance in the process. The aggregation, standardization, deduplication, and visualization of data from these heterogeneous sources is both complex and resource intensive.This paper presents solution for the above challenges and propose a comprehensive framework for analyzing data from heterogeneous sources related to supply chain of drugs and vaccines. The framework incorporates fuzzy logic-based algorithms for deduplication of drug and vaccine nomenclature and supports real-time data analysis through the use of Key Performance Indicators (KPIs). It further enables centralized monitoring and decision-making via a built-in visualization layer, accessible to stakeholders at multiple administrative levels.While the framework has been tailored to the Indian public health context, its modular design makes it broadly applicable to other domains requiring integration of diverse data sources for strategic planning and policy implementation.The use of open-source technologies for development of various configurable and integrated layers like ETL, Deduplication, Standardization and Visualization layers encompassing into a single framework ensuring cost effectiveness in delivering the end-to-end solution makes it a novel and impactful for adoption specially in resource constrained environments.
Health in Indian scenario is a state subject which means that states usually use their independent respective IT systems based on their specific needs and requirements. This brings a big challenge in terms of diversified nomenclatures used in across Indian states and Union Territories (UTs). Centralized data analysis is required by central agencies like Ministry of Health and Family Welfare (MoHFW) and the National Health Systems Resource Centre (NHSRC) for performance monitoring and policy making. This diversified nomenclature poses a significant hindrance in the process. The aggregation, standardization, deduplication, and visualization of data from these heterogeneous sources is both complex and resource intensive.This paper presents solution for the above challenges and propose a comprehensive framework for analyzing data from heterogeneous sources related to supply chain of drugs and vaccines. The framework incorporates fuzzy logic-based algorithms for deduplication of drug and vaccine nomenclature and supports real-time data analysis through the use of Key Performance Indicators (KPIs). It further enables centralized monitoring and decision-making via a built-in visualization layer, accessible to stakeholders at multiple administrative levels.While the framework has been tailored to the Indian public health context, its modular design makes it broadly applicable to other domains requiring integration of diverse data sources for strategic planning and policy implementation.The use of open-source technologies for development of various configurable and integrated layers like ETL, Deduplication, Standardization and Visualization layers encompassing into a single framework ensuring cost effectiveness in delivering the end-to-end solution makes it a novel and impactful for adoption specially in resource constrained environments.
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