###### Abstract
This has caused the deterioration of the infrastructure of service institutions, especially health care institutions, such as hospitals, medical centers, and blood banks, as well as the instability of the electricity supply in Iraq and other war-torn countries [14]. With the rapid development and advances in technology, health care procedure management and disaster management are the most popular majors [12]. According to the literature, using new and different technologies in the health care field is widespread because it provides personalized and high-quality services on time [15]. Because of the perishable nature of blood products, blood management is considered a daunting task in modern medicine [16]. The improvement in the health care field has possible via recent technological developments, such as the application of many emerging and innovative computer technologies, for example, mobile Internet, smart transportation, data mining, machine learning, block chain, GPS Global, and the IoT, with excellent results [12; 17]. On the other hand, issues that must be considered relating to these technologies are big data, data security, competitive technologies, and medical technology, because all have contributed to rising health care costs [17]. Security is the biggest challenge for the IoT, along with accuracy issues and the price [18; 19]. Scalability is one of block chain's notable flaws; it is not indestructible and can increase complexity [20]. Health care services are not equally distributed between rural and urban areas [21]. Walls and other objects can obstruct global positioning systems (GPS), and regular GPS precision is limited to 3 m. GPS services access users' private information, so privacy and anonymization concerns are major issues that must be addressed [22]. Various health care areas can apply the Internet of Things and Web apps to address multiple problems and challenges [12]. The IoT presents a vision of intelligence by allowing communication between devices and humans via the Internet [23; 24]. It provides availability through remote monitoring of patients, the recording of the status of products, and the tracking of medical equipment, such as blood bags, or smart blood group recognition labels for donors and patients in blood banks, hospitals, or medical centers [10; 12]. The use of sensors, self-coordination, and simulation can aid in prediction. The fast response of the sensors may save lives, limit damage, and generally reduce the level of danger, especially in natural disasters [25]. For example, DHT-11 is the temperature and humidity sensor that was used in study [26] to monitor the temperature of blood bags within an acceptable limit. All that is needed is the development of health care software and its integration with different technologies, such as using IoT technics based on mobile or Web applications. In ref. [27], the researchers introduced an application that connects the givers and the blood requesters who live in Nineveh province, Iraq. The blood requester can search and directly contact donors without any third-party involvement. The Google Firebase Real-Time database and one WebSocket two-way channel were used, and data were stored a JavaScript object notation (JSON) file. Another study in [28] showed how important it is to use model inventories, both probabilistic and non-probabilistic, to help blood banks to find the optimal quantity of blood and product required while trying to make the total cost lower. Additionally, some researchers in [29] discussed solving the problem of blood group transfusion in the National Bank of Iraq using multi-models consisting of a transfusion model, particle swarm optimization algorithm, and analytic hierarchy process to find the best transfusion from the donors to the persons who need it. However, none of these studies designed or developed a blood bank system to improve the traditional paperwork system.