ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774


BLOOD BANK AND BLOOD WASTAGE MANAGEMENT USING INTERNET OF THINGS AND STREAM ANALYTICS

Abstract

Abstract: - Every year, 65 million trauma-related surgeries are conducted in India. Every day, it sees over 1,300 car accidents, 10 million pregnancy complications, 230 million major operations, and 331 million cancer-related procedures that necessitate blood transfusions. Every year, approximately 6.7 lakh units of blood and its components are wasted in India before reaching the poor. In 2016, more than 6.58 lakh units of blood and its components were discarded across the world. Blood components and goods such as plasma, which has a one-year shelf life compared to whole blood units and red blood cells, which must be used within 35-45 days, accounted for 50-55 percent of the lost units. In this paper, we present an architecture prototype of a Blood and Wastage Management System based on the Internet of Things and stream analytics, through which any donor/requester, hospital, or blood bank can search for their preferred blood group and donate to the nearest blood bank or hospital within City/State/Country using its current position in real time. Donors can register themselves, and hospitals and blood banks can register via a module in the BBABWM (Blood Bank and Blood Wastage Management) app, which also allows for inventory management. Real-time blood stock inventory data can be accessed using a cloud-based web application and made available to hospitals and blood banks around the world. The inventory details for the blood units, as well as the GPS location, are stored in this data structure. Donors/requesters may enter the details of their blood unit as well as their current GPS position to locate the closest blood donor or hospital. The most common causes of wastage are decay during storage and the expiration of blood units due to outdating. The proposed system would assist in improving blood unit transportation to all vulnerable areas, reducing blood wastage, and locating desired donors in real time.
Keywords: Blood, Blood component, Blood products Internet of Things, Stream Analytics, GPS, blood wastage, Transportation, Expiration, Transfusion.

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