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Clinical Study of Using Biometrics to Identify Patient and Procedure

PURPOSE: To reduce patient and procedure identification errors by human interactions in radiotherapy delivery and surgery, a Biometric Automated Patient and Procedure Identification System (BAPPIS) was developed. BAPPIS is a patient identification and treatment procedure verification system using fi...

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Autores principales: Sohn, Jason W., Kim, Haksoo, Park, Samuel B., Lee, Soyoung, Monroe, James I., Malone, Thomas B., Kinsella, Timothy, Yao, Min, Kunos, Charles, Lo, Simon S., Shenk, Robert, Machtay, Mitchell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736407/
https://www.ncbi.nlm.nih.gov/pubmed/33335855
http://dx.doi.org/10.3389/fonc.2020.586232
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author Sohn, Jason W.
Kim, Haksoo
Park, Samuel B.
Lee, Soyoung
Monroe, James I.
Malone, Thomas B.
Kinsella, Timothy
Yao, Min
Kunos, Charles
Lo, Simon S.
Shenk, Robert
Machtay, Mitchell
author_facet Sohn, Jason W.
Kim, Haksoo
Park, Samuel B.
Lee, Soyoung
Monroe, James I.
Malone, Thomas B.
Kinsella, Timothy
Yao, Min
Kunos, Charles
Lo, Simon S.
Shenk, Robert
Machtay, Mitchell
author_sort Sohn, Jason W.
collection PubMed
description PURPOSE: To reduce patient and procedure identification errors by human interactions in radiotherapy delivery and surgery, a Biometric Automated Patient and Procedure Identification System (BAPPIS) was developed. BAPPIS is a patient identification and treatment procedure verification system using fingerprints. METHODS: The system was developed using C++, the Microsoft Foundation Class Library, the Oracle database system, and a fingerprint scanner. To register a patient, the BAPPIS system requires three steps: capturing a photograph using a web camera for photo identification, taking at least two fingerprints, and recording other specific patient information including name, date of birth, allergies, etc. To identify a patient, the BAPPIS reads a fingerprint, identifies the patient, verifies with a second fingerprint to confirm when multiple patients have same fingerprint features, and connects to the patient’s record in electronic medical record (EMR) systems. To validate the system, 143 and 21 patients ranging from 36 to 98 years of ages were recruited from radiotherapy and breast surgery, respectively. The registration process for surgery patients includes an additional module, which has a 3D patient model. A surgeon could mark ‘O’ on the model and save a snap shot of patient in the preparation room. In the surgery room, a webcam displayed the patient’s real-time image next to the 3D model. This may prevent a possible surgical mistake. RESULTS: 1,271 (96.9%) of 1,311 fingerprints were verified by BAPPIS using patients’ 2(nd) fingerprints from 143 patients as the system designed. A false positive recognition was not reported. The 96.9% completion ratio is because the operator did not verify with another fingerprint after identifying the first fingerprint. The reason may be due to lack of training at the beginning of the study. CONCLUSION: We successfully demonstrated the use of BAPPIS to correctly identify and recall patient’s record in EMR. BAPPIS may significantly reduce errors by limiting the number of non-automated steps.
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spelling pubmed-77364072020-12-16 Clinical Study of Using Biometrics to Identify Patient and Procedure Sohn, Jason W. Kim, Haksoo Park, Samuel B. Lee, Soyoung Monroe, James I. Malone, Thomas B. Kinsella, Timothy Yao, Min Kunos, Charles Lo, Simon S. Shenk, Robert Machtay, Mitchell Front Oncol Oncology PURPOSE: To reduce patient and procedure identification errors by human interactions in radiotherapy delivery and surgery, a Biometric Automated Patient and Procedure Identification System (BAPPIS) was developed. BAPPIS is a patient identification and treatment procedure verification system using fingerprints. METHODS: The system was developed using C++, the Microsoft Foundation Class Library, the Oracle database system, and a fingerprint scanner. To register a patient, the BAPPIS system requires three steps: capturing a photograph using a web camera for photo identification, taking at least two fingerprints, and recording other specific patient information including name, date of birth, allergies, etc. To identify a patient, the BAPPIS reads a fingerprint, identifies the patient, verifies with a second fingerprint to confirm when multiple patients have same fingerprint features, and connects to the patient’s record in electronic medical record (EMR) systems. To validate the system, 143 and 21 patients ranging from 36 to 98 years of ages were recruited from radiotherapy and breast surgery, respectively. The registration process for surgery patients includes an additional module, which has a 3D patient model. A surgeon could mark ‘O’ on the model and save a snap shot of patient in the preparation room. In the surgery room, a webcam displayed the patient’s real-time image next to the 3D model. This may prevent a possible surgical mistake. RESULTS: 1,271 (96.9%) of 1,311 fingerprints were verified by BAPPIS using patients’ 2(nd) fingerprints from 143 patients as the system designed. A false positive recognition was not reported. The 96.9% completion ratio is because the operator did not verify with another fingerprint after identifying the first fingerprint. The reason may be due to lack of training at the beginning of the study. CONCLUSION: We successfully demonstrated the use of BAPPIS to correctly identify and recall patient’s record in EMR. BAPPIS may significantly reduce errors by limiting the number of non-automated steps. Frontiers Media S.A. 2020-12-01 /pmc/articles/PMC7736407/ /pubmed/33335855 http://dx.doi.org/10.3389/fonc.2020.586232 Text en Copyright © 2020 Sohn, Kim, Park, Lee, Monroe, Malone, Kinsella, Yao, Kunos, Lo, Shenk and Machtay http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Sohn, Jason W.
Kim, Haksoo
Park, Samuel B.
Lee, Soyoung
Monroe, James I.
Malone, Thomas B.
Kinsella, Timothy
Yao, Min
Kunos, Charles
Lo, Simon S.
Shenk, Robert
Machtay, Mitchell
Clinical Study of Using Biometrics to Identify Patient and Procedure
title Clinical Study of Using Biometrics to Identify Patient and Procedure
title_full Clinical Study of Using Biometrics to Identify Patient and Procedure
title_fullStr Clinical Study of Using Biometrics to Identify Patient and Procedure
title_full_unstemmed Clinical Study of Using Biometrics to Identify Patient and Procedure
title_short Clinical Study of Using Biometrics to Identify Patient and Procedure
title_sort clinical study of using biometrics to identify patient and procedure
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736407/
https://www.ncbi.nlm.nih.gov/pubmed/33335855
http://dx.doi.org/10.3389/fonc.2020.586232
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