TY - GEN

T1 - Comparing ICD-Data Across Countries

T2 - 10th IEEE Workshop on Visual Analytics in Healthcare, VAHC 2019

AU - Varela, Lucia Otero

AU - Knudsen, Søren

AU - Carpendale, Sheelagh

AU - Eastwood, Catherine

AU - Quan, Hude

PY - 2019/10

Y1 - 2019/10

N2 - We present our preliminary results of an international survey on the practical adoption and use of the International Classification of Diseases (ICD) from a visualization and visual analytics perspective. The ICD system, in different versions, is globally used for coding morbidity and mortality statistics, however, coding practices vary across countries. Our survey includes questions about hospital data collection systems, use of features in ICD, and training of ICD coding specialists. Variations in ICD could hinder comparability and limit generalizability of observed findings. Our preliminary results establish the current state of ICD use and training internationally, and will ultimately be valuable to the World Health Organization to further research on how to improve ICD coding, and enhance international comparisons of health data. From a visualization and visual analytics perspective, the current differences in adoption and use of ICD poses challenges and opportunities. For example, when morbidity-data from two countries differ in their coding, can we still compare data from these countries, and if so, then under which circumstances? We discuss how visualization and visual analytics might help in these situations.

AB - We present our preliminary results of an international survey on the practical adoption and use of the International Classification of Diseases (ICD) from a visualization and visual analytics perspective. The ICD system, in different versions, is globally used for coding morbidity and mortality statistics, however, coding practices vary across countries. Our survey includes questions about hospital data collection systems, use of features in ICD, and training of ICD coding specialists. Variations in ICD could hinder comparability and limit generalizability of observed findings. Our preliminary results establish the current state of ICD use and training internationally, and will ultimately be valuable to the World Health Organization to further research on how to improve ICD coding, and enhance international comparisons of health data. From a visualization and visual analytics perspective, the current differences in adoption and use of ICD poses challenges and opportunities. For example, when morbidity-data from two countries differ in their coding, can we still compare data from these countries, and if so, then under which circumstances? We discuss how visualization and visual analytics might help in these situations.

KW - Administrative health data

KW - data collection

KW - data provenance

KW - ICD

KW - information visualization

KW - international comparability

UR - http://www.scopus.com/inward/record.url?scp=85078116517&partnerID=8YFLogxK

U2 - 10.1109/VAHC47919.2019.8945033

DO - 10.1109/VAHC47919.2019.8945033

M3 - Article in proceedings

AN - SCOPUS:85078116517

SP - 60

EP - 61

BT - 2019 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2019

PB - IEEE

Y2 - 20 October 2019

ER -