Blood Bank Information System Based on Cloud Computing In Indonesia

Ramadhan, Muhammad Nur Sahid; Amyus, Arinda; Fajar, Ahmad Nurul; Sfenrianto, Sfenrianto; Kanz, Abiyyu Fawwaz; Mufaqih, Moh Sukron

doi:10.1088/1742-6596/1179/1/012028

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…Ramadhan et al . (2019)[ 8 ] also propose a Blood Bank Management System (BBIS) based on cloud computing that can communicate with individual donors in Indonesian to maintain blood supply availability. Bedi et al .…”

Section: Discussionmentioning

confidence: 99%

Inventory management practices in the blood bank of an institute of national importance in India

Gupta

Mishra

Daga

2021

Journal of Family Medicine and Primary Care

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Background: The demand and supply gap in blood and components has always existed in healthcare facilities. Blood inventory management is crucial to meet the demand and to minimize wastage. This study explores the blood inventory management practices at the blood bank of an institute of national importance in India. Methods: The technicians of the blood bank were interviewed on the practices they followed on blood inventory management and records were reviewed where required. Results: Simple rule of thumb practices, the experience of staff, training, clear policy on stock keeping and allocation, daily stock review, record-keeping, monthly performance review, automation, adoption of information system, regular communications, and leadership emerged as factors contributing to inventory management. Conclusion: The blood bank follows simple procedures and relies on the experience of its staff to manage its inventory. Rigorous training, strict oldest-unit-first-out (OUFO)/first-in-first-out (FIFO) principle for stock management, stringent allocation policy, diligent record-keeping, daily stock review, and monthly performance reports were identified as the key drivers for inventory management. Other measures like regular preventive maintenance of equipment, robust blood bank information system, communication with stakeholders, and effective leadership were found to contribute indirectly to inventory management practices.

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Section: Discussionmentioning

confidence: 99%

Inventory management practices in the blood bank of an institute of national importance in India

Gupta

Mishra

Daga

2021

Journal of Family Medicine and Primary Care

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“…3.1.2. BBIS: Blood Bank Information System Based on Cloud Computing (Indonesia) Ramadhan et al [26] proposed a linking system that integrates Indonesian society who can be personal donors as a solution to ensure blood supply availability. By using a web-based and mobile application with cloud computing technology, they suggested a connecting system that integrates Indonesian society, where individuals can be personal donors to keep blood supplies available.…”

Section: Online Blood Donation Reservation and Management System (Sau...mentioning

confidence: 99%

Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning

2023

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Despite the efforts of the World Health Organization, blood transfusions and delivery are still the crucial challenges in blood supply chain management, especially when there is a high demand and not enough blood inventory. Consequently, reducing uncertainty in blood demand, waste, and shortages has become a primary goal. In this paper, we propose a smart platform-oriented approach that will create a robust blood demand and supply chain able to achieve the goals of reducing uncertainty in blood demand by forecasting blood collection/demand, and reducing blood wastage and shortage by balancing blood collection and distribution based on an effective blood inventory management. We use machine learning and time series forecasting models to develop an AI/ML decision support system. It is an effective tool with three main modules that directly and indirectly impact all phases of the blood supply chain: (i) the blood demand forecasting module is designed to forecast blood demand; (ii) blood donor classification helps predict daily unbooked donors thereby enhancing the ability to control the volume of blood collected based on the results of blood demand forecasting; and (iii) scheduling blood donation appointments according to the expected number and type of blood donations, thus improving the quantity of blood by reducing the number of canceled appointments, and indirectly improving the quality and quantity of blood supply by decreasing the number of unqualified donors, thereby reducing the amount of invalid blood after and before preparation. As a result of the system’s improvements, blood shortages and waste can be reduced. The proposed solution provides robust and accurate predictions and identifies important clinical predictors for blood demand forecasting. Compared with the past year’s historical data, our integrated proposed system increased collected blood volume by 11%, decreased inventory wastage by 20%, and had a low incidence of shortages.

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“…In addition, the Ministry of Health's blood donation centers work in isolation, without integration with other health institutions, which affects the quality of service. In this context, information technologies and smartphones have become an ally for blood donation [5] [29].…”

Section: Introductionmentioning

confidence: 99%

Location-based Mobile Application for Blood Donor Search

Iparraguirre-Villanueva¹,

Sierra-Linan²,

Cabanillas-Carbonell³

2022

IJACSA

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Technological advances and the massive use of mobile devices have led to the exponential evolution of mobile applications in the health sector. Blood donation centers frequently suffer blood shortages due to lack of donations, which is why blood donation requests are frequently seen on social networks for blood donors in urgent need of a transfusion of a specific blood group. Mobile applications for blood donation are crucial in the health sector, since it allows donors and blood donation centers to communicate immediately to coordinate with each other, minimizing the time to perform the donation process. The present work was to develop a location-based mobile application for the search of blood donors, with the objective of increasing the number of donors, having a greater population reach, and reducing the time to search for blood donors. The results obtained show a significant increase of 39.58% in the number of donors, a reduction of 53.2% in the search time, and a greater population reach.

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Blood Bank Information System Based on Cloud Computing In Indonesia

Cited by 10 publications

References 11 publications

Inventory management practices in the blood bank of an institute of national importance in India

Inventory management practices in the blood bank of an institute of national importance in India

Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning

Location-based Mobile Application for Blood Donor Search

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