Codificação e seleção automáticas das causas de morte: adaptação para o uso no Brasil do software Iris

Abstract

ABSTRACT:Objective: To prepare a dictionary in Portuguese for using in Iris and to evaluate its completeness for coding causes of death. Methods: Iniatially, a dictionary with all illness and injuries was created based on the International Classification of Diseases -tenth revision (ICD-10) codes. This dictionary was based on two sources: the electronic file of ICD-10 volume 1 and the data from Thesaurus of the International Classification of Primary Care (ICPC-2). Then, a death certificate sample from the Program of Improvement of Mortality Information in São Paulo (PRO-AIM) was coded manually and by Iris version V4.0.34, and the causes of death were compared. Whenever Iris was not able to code the causes of death, adjustments were made in the dictionary. Results: Iris was able to code all causes of death in 94.4% death certificates, but only 50.6% were directly coded, without adjustments. Among death certificates that the software was unable to fully code, 89.2% had a diagnosis of external causes (chapter XX of ICD-10). This group of causes of death showed less agreement when comparing the coding by Iris to the manual one. Conclusion: The software performed well, but it needs adjustments and improvement in its dictionary. In the upcoming versions of the software, its developers are trying to solve the external causes of death problem.

Automated coding and selection of causes of death in Peru: a descriptive study, 2016-2019

“…A study conducted in São Paulo, in 2010, with a sample of 666 deaths aimed at testing the software Portuguese dictionary, found a performance of 95%. 19 In the Netherlands, during a study on the implementation of an automated coding system with data from 134,262 deaths that occurred in 2009, there was an increase in performance from 17% in the first batch to 69% in the last batch, after a series of improvements in the dictionary. 20 In Spain, a study to assess the impact of automating cause of death records on mortality in the autonomous community (geopolitical macro-region) of Navarra, based on 5,060 deaths that occurred in 2014, identified a performance of 90%.…”

Does the Application of International Classification of Disease Codes for the Cause of Death on Death Certificates Reduce Garbage Codes?

“…6,20,23 In addition, as electronic coding systems for the causes of death have been introduced in many countries, studies that use automated coding systems such as IRIS to analyze the COD are showing promising results. 24,25 However, since these attempts rely on the data of the DCs that have already been completed, it is necessary to increase the accuracy of DCs in advance. In addition to educational interventions on completing a DC, which were shown to be effective in several previous studies, the change in the documentation method of completing DCs attempted in this study is expected to enable physicians to certify death more accurately.…”

Avaliação de um aplicativo para smartphone para aprimoramento da certificação médica da causa da morte

“…In all workshops the suggestion to make the application more interactive was emphasized, an aspect inserted in the latest version of AtestaDO (0.3.6, available in 2018) by integrating Iris 12,[22][23][24][25] , an automatic system to encode the causes declared by the physician in the DC and select the underlying cause of death. This is the result of a collaborative effort involving several institutions from different countries, including the German Institute of Medical Documentation and Information and the U.S National Center for Health Statistics.…”