An App for the Registration of Traffic Injuries

Abstract

We present the development of an application as a mobile tool to carry out the assessment of bodily damage suffered by a traffic accident. The scale used to assess traffic accidents can be used for any other circumstance that produces injury or bodily sequelae. The software developed will allow the expert to be guided through all the cases to generate a report where the corresponding compensation is obtained, both for bodily harm and possible disabilities. In the event of death, it also makes it possible to determine compensation to relatives and relatives based on kinship and circumstances. Of course, the role of the expert does not disappear. In many cases, forks appear, and compensation must be argued. However, this application will allow it to be operated by a physician without much experience in this legislation. The application will ask you for the details of the accident and will indicate the compensation ranges that can be applied. On the other hand, the application allows you to collect all kinds of documents that can be attached to the final report. These include medical reports and all kinds of expenses caused as an accident (hospitalization, prothesis, transportation, repatriation). A mobile application is proposed that allows automating this process, which can be used by personnel without previous experience and drastically reducing the time necessary to carry out the measurements. Another advantage is that the software runs on a mobile device using the mobile device's camera. This allows the system to be used in any location and with minimal economic cost. On the other hand, a complete patient registration system has been implemented, and the possibility of keeping a history of each one, to assess their evolution.

Keywords

• Mobile tool
• Body damage
• Telemedicine

References

1. Bhargave, A., Jadhav, N., Joshi, A., Oke, P., & Lahane, S. R. (2013). Digital ordering system for restaurant using Android. International Journal of Scientific and Research Publications, 3(4), 1-7.
2. Bhosale, S. T., Patil, T., & Patil, P. (2015). Sqlite: Light database system. Int. J. Comput. Sci. Mob. Comput, 44(4), 882-885.
3. Costa, I., Araujo, J., Dantas, J., Campos, E., Silva, F. A., & Maciel, P. (2016). Availability evaluation and sensitivity analysis of a mobile backend‐as‐a‐service platform. Quality and Reliability Engineering International, 32(7), 2191-2205.
4. Delia, L., Galdamez, N., Thomas, P., Corbalan, L., & Pesado, P. (2015, May). Multi-platform mobile application development analysis. In 2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS) (pp. 181-186). IEEE.
5. Kim, W., Sung, J., Saakes, D., Huang, C., & Xiong, S. (2021). Ergonomic postural assessment using a new open-source human pose estimation technology (OpenPose). International Journal of Industrial Ergonomics, 84, 103164.
6. Moroney, L., & Moroney, L. (2017). The firebase realtime database. The Definitive Guide to Firebase: Build Android Apps on Google's Mobile Platform, 51-71. Oliveira, V., Teixeira, L., & Ebert, F. (2020, February). On the adoption of kotlin on android development: A triangulation study. In 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 206-216). IEEE.
7. Sukmana, Y., & Rosmansyah, Y. (2021, December). The use of cloud firestore for handling real-time data updates: An empirical study of gamified online quiz. In 2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT) (pp. 1239-1244). IEEE.