Personal Injury Claims (PIC) Database Modeling in Malaysia

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Road accident often leads to claims for personal injury by aggrieved parties. In Malaysia, courts have been using multiplier-multiplicand approach. This approach seems to be outdated and unfair to the claimant. Presently, the approach excludes the claimant's personal condition in the calculation of quantum of damages. Hence, this study uses the Ogden Table as introduced in the United Kingdom as benchmarking guidelines, by taking into account of all aspect of claimant's personal condition for the purpose of such calculation. This study aim is to build upon a proposed data modeling system known as Entity Relationship Diagram (ERD) and the created process modeling known as data flow diagram (DFD). In so doing, the claimants will insert his input data, run it through the first process, and store the information in the claim injury part database. They can also edit and store to claim injury part database on their own. This will generate a report with the information in claim injury part database and can be viewed by claimant, court and lawyer as target users. It is hoped that it will facilitate the calculation of injury claim which would serve justice and accuracy of personal injury in road accidents.

     

     


  • Keywords


    road accident; personal injury; Ogden Table; claims; ERD; DFD.

  • References


      [1] Bernama (2017), 5,083 road accident deaths recorded from Jan-Sept 2017. https://www.nst.com.my/news/nation/2017/11/302157/5083-road-accident-deaths-recorded-jan-sept-2017.

      [2] Massita M, Haslifah H, & Halim K (2012), The traditional multiplier-multiplicand approach. Proceedings of the International Conference on Economic, Business and Marketing Management IPEDR, 29, 325–329.

      [3] Najihan AA, Syadatul SMS, Nurul HJ, Nik RNM & Muhammad AY (2017), The Personal Injury Claims Calculator (PICC) system. International Journal of Academic Research in Business and Social Sciences 7(11), 1361–1371.

      [4] Najar AS, & Davoudi A (2009), A new model for health care e-insurance using credit points and Service Oriented Architecture (SOA). Proceedings of the 11th International Conference on Information Integration and Web-Based Application and Services, pp. 548 –551.

      [5] Zuriahati MY, Aida A, Siti MS & Roselina S (2016), Predictive modelling for motor insurance claims using artificial neural networks. International Journal of Advances in Soft Computing and Its Applications 8(3), 160–171.

      [6] Youssef B (2012), A simulation model for the waterfall software development life cycle. International Journal of Engineering and Technology 2(5), 1-7.

      [7] Chandra V (2015), Comparison between various software development methodologies. International Journal of Computer Applications 131(9), 7–10.

      [8] Gary B. S & Harry JR (2013), Systems analysis and design. Cengage Learning.

      [9] Jordan P (2017), The process of a personal injury claim. https://www.dolmanlaw.com/process-personal-injury-claim/.

      [10] Donald S, & Le Vie J (2000), Understanding data flow diagram. Proceedings of the 47th Annual Conference on Society for Technical Communication, pp. 396-401.

      [11] Friday Y, Barron IA, Olugbemi MO & Maria AM (2011), Process and database modelling of a university bursary system: A perspective of cash office. International Journal of Computer Science 8, 555–560.


 

View

Download

Article ID: 23510
 
DOI: 10.14419/ijet.v7i4.33.23510




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.