Lewis C, Leventhal L
Dept. of Psychology, University of Manitoba Winnipeg, Canada.
Refuat Hapeh Vehashinayim (1993). 2007 Jul;24(3):6-11, 53.
Computer software programs are typically used at disaster sites to help identify victims from dental remains. Using a simulated disaster with 300 simulated victims and 105 simulated dental fragments, previous research compared two computer programs, WinID and CAPMI4, to a non-computer identification system--the Locator System (LS). LS performed best. LS requires dental professionals manually to sort antemortem and postmortem files into dental categories and then compare postmortem and antemortem files in the same category to find matches. We combined LS with the better of the two computer programs, WinID, to create a single method. This method was used by two teams of forensic odontologists to identify victims in the same simulated disaster employed in previous research. One team had 8 members and the other had 5 members. The 5-member team performed better than all previous teams and the 8-member team performed better than the 5-member team. The 8-member team was large enough to assign a different member to each category as a specialist. We make practical recommendations on identifying disaster victims from dental remains.
计算机软件程序通常用于灾难现场,以帮助从牙齿残骸中识别受害者。先前的研究利用一个有300名模拟受害者和105个模拟牙齿碎片的模拟灾难,将两个计算机程序WinID和CAPMI4与一个非计算机识别系统——定位系统(LS)进行了比较。LS表现最佳。LS要求牙科专业人员手动将生前和死后档案分类到牙齿类别中,然后比较同一类别的死后和生前档案以找到匹配项。我们将LS与两个计算机程序中较好的WinID相结合,创建了一种单一方法。两组法医牙科学专家使用这种方法在先前研究中使用的同一模拟灾难中识别受害者。一组有8名成员,另一组有5名成员。5人团队的表现优于之前所有团队,8人团队的表现优于5人团队。8人团队规模足够大,可以为每个类别分配一名不同的成员作为专家。我们对从牙齿残骸中识别灾难受害者提出了切实可行的建议。