Abstract
The aim of the study was to survey misfiled cases in a picture archiving and communication system environment at two hospitals and to demonstrate the potential usefulness of an automated patient recognition method for posteroanterior chest radiographs based on a template-matching technique designed to prevent filing errors. We surveyed misfiled cases obtained from different modalities in one hospital for 25 months, and misfiled cases of chest radiographs in another hospital for 17 months. For investigating the usefulness of an automated patient recognition and identification method for chest radiographs, a prospective study has been completed in clinical settings at the latter hospital. The total numbers of misfiled cases for different modalities in one hospital and for chest radiographs in another hospital were 327 and 22, respectively. The misfiled cases in the two hospitals were mainly the result of human errors (eg, incorrect manual entries of patient information, incorrect usage of identification cards in which an identification card for the previous patient was used for the next patient's image acquisition). The prospective study indicated the usefulness of the computerized method for discovering misfiled cases with a high performance (ie, an 86.4% correct warning rate for different patients and 1.5% incorrect warning rate for the same patients). We confirmed the occurrence of misfiled cases in the two hospitals. The automated patient recognition and identification method for chest radiographs would be useful in preventing wrong images from being stored in the picture archiving and communication system environment.
| Original language | English |
|---|---|
| Pages (from-to) | 97-103 |
| Number of pages | 7 |
| Journal | Academic Radiology |
| Volume | 12 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 1 2005 |
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All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging
Cite this
Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors for chest radiographs. / Morishita, Junji; Watanabe, Hideyuki; Katsuragawa, Shigehiko; Oda, Nobuhiro; Sukenobu, Yoshiharu; Okazaki, Hiroko; Nakata, Hajime; Doi, Kunio.
In: Academic Radiology, Vol. 12, No. 1, 01.01.2005, p. 97-103.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors for chest radiographs
AU - Morishita, Junji
AU - Watanabe, Hideyuki
AU - Katsuragawa, Shigehiko
AU - Oda, Nobuhiro
AU - Sukenobu, Yoshiharu
AU - Okazaki, Hiroko
AU - Nakata, Hajime
AU - Doi, Kunio
PY - 2005/1/1
Y1 - 2005/1/1
N2 - The aim of the study was to survey misfiled cases in a picture archiving and communication system environment at two hospitals and to demonstrate the potential usefulness of an automated patient recognition method for posteroanterior chest radiographs based on a template-matching technique designed to prevent filing errors. We surveyed misfiled cases obtained from different modalities in one hospital for 25 months, and misfiled cases of chest radiographs in another hospital for 17 months. For investigating the usefulness of an automated patient recognition and identification method for chest radiographs, a prospective study has been completed in clinical settings at the latter hospital. The total numbers of misfiled cases for different modalities in one hospital and for chest radiographs in another hospital were 327 and 22, respectively. The misfiled cases in the two hospitals were mainly the result of human errors (eg, incorrect manual entries of patient information, incorrect usage of identification cards in which an identification card for the previous patient was used for the next patient's image acquisition). The prospective study indicated the usefulness of the computerized method for discovering misfiled cases with a high performance (ie, an 86.4% correct warning rate for different patients and 1.5% incorrect warning rate for the same patients). We confirmed the occurrence of misfiled cases in the two hospitals. The automated patient recognition and identification method for chest radiographs would be useful in preventing wrong images from being stored in the picture archiving and communication system environment.
AB - The aim of the study was to survey misfiled cases in a picture archiving and communication system environment at two hospitals and to demonstrate the potential usefulness of an automated patient recognition method for posteroanterior chest radiographs based on a template-matching technique designed to prevent filing errors. We surveyed misfiled cases obtained from different modalities in one hospital for 25 months, and misfiled cases of chest radiographs in another hospital for 17 months. For investigating the usefulness of an automated patient recognition and identification method for chest radiographs, a prospective study has been completed in clinical settings at the latter hospital. The total numbers of misfiled cases for different modalities in one hospital and for chest radiographs in another hospital were 327 and 22, respectively. The misfiled cases in the two hospitals were mainly the result of human errors (eg, incorrect manual entries of patient information, incorrect usage of identification cards in which an identification card for the previous patient was used for the next patient's image acquisition). The prospective study indicated the usefulness of the computerized method for discovering misfiled cases with a high performance (ie, an 86.4% correct warning rate for different patients and 1.5% incorrect warning rate for the same patients). We confirmed the occurrence of misfiled cases in the two hospitals. The automated patient recognition and identification method for chest radiographs would be useful in preventing wrong images from being stored in the picture archiving and communication system environment.
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UR - http://www.scopus.com/inward/citedby.url?scp=13244299300&partnerID=8YFLogxK
U2 - 10.1016/j.acra.2004.11.008
DO - 10.1016/j.acra.2004.11.008
M3 - Article
C2 - 15691730
AN - SCOPUS:13244299300
VL - 12
SP - 97
EP - 103
JO - Academic Radiology
JF - Academic Radiology
SN - 1076-6332
IS - 1
ER -