Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine

Abstract Background To evaluate the feasibility and benefits of digitized informed patient consent (D-IPC) for contrast-enhanced CT and compare digitized documentation with paper-based, conventional patient records (C-PR). Methods We offered D-IPC to 2016 patients scheduled for a CT. We assessed pat...

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Main Authors: Markus Kopp, Jan Peter Roth, Frederik Geisler, Sascha Daniel, Theresa Ruettinger, Christoph Treutlein, Eva L. Balbach, Rafael Heiss, Matthias Wetzl, Nouhayla El Amrani, Alexander Cavallaro, Michael Uder, Matthias S. May
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Insights into Imaging
Subjects:
Online Access:https://doi.org/10.1186/s13244-022-01304-6
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author Markus Kopp
Jan Peter Roth
Frederik Geisler
Sascha Daniel
Theresa Ruettinger
Christoph Treutlein
Eva L. Balbach
Rafael Heiss
Matthias Wetzl
Nouhayla El Amrani
Alexander Cavallaro
Michael Uder
Matthias S. May
author_facet Markus Kopp
Jan Peter Roth
Frederik Geisler
Sascha Daniel
Theresa Ruettinger
Christoph Treutlein
Eva L. Balbach
Rafael Heiss
Matthias Wetzl
Nouhayla El Amrani
Alexander Cavallaro
Michael Uder
Matthias S. May
author_sort Markus Kopp
collection DOAJ
description Abstract Background To evaluate the feasibility and benefits of digitized informed patient consent (D-IPC) for contrast-enhanced CT and compare digitized documentation with paper-based, conventional patient records (C-PR). Methods We offered D-IPC to 2016 patients scheduled for a CT. We assessed patient history (e.g., CT examinations, malignant or cardiovascular diseases) and contraindications (red flags) for a CT (e.g., thyroid hyperfunction, allergies) using a tablet device. We evaluated the success rate of D-IPC and compared patient age between the subgroups of patients who were able or unable to complete D-IPC. We analyzed the prevalence of marked questions and red flags (RF). RF were compared with the documentation from C-PR. We estimated greenhouse gas (GHG) emissions for paperless workflow and provide a cost–benefit analysis. Results Overall, 84.4% of patients completed D-IPC. They were younger (median 61 years) than unsuccessful patients (65 years; p < 0.001). Patients who marked questions (21.7%) were older than patients without inquiries (median 63.9 vs 59.5 years; p < 0.001). The most prevalent RF was thyroid disease (23.8%). RF were considered critical for contrast-agent injection in 13.7%, requiring personalized preparation. The detection rate for RF documented with D-IPC was higher than for C-PR (n = 385 vs. 43). GHG emissions for tablet production are 80–90 times higher than for paper production. The estimated costs were slightly higher for D-IPC (+ 8.7%). Conclusion D-IPC is feasible, but patient age is a relevant factor. Marked questions and RF help personalize IPC. The availability of patient history by D-IPC was superior compared to C-PR.
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spelling doaj.art-29900c2332e84c01a25edbb1d18c40a12022-12-22T04:31:55ZengSpringerOpenInsights into Imaging1869-41012022-10-0113111310.1186/s13244-022-01304-6Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routineMarkus Kopp0Jan Peter Roth1Frederik Geisler2Sascha Daniel3Theresa Ruettinger4Christoph Treutlein5Eva L. Balbach6Rafael Heiss7Matthias Wetzl8Nouhayla El Amrani9Alexander Cavallaro10Michael Uder11Matthias S. May12Departement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergFriedrich-Alexander University Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergDepartement of Radiology, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-NurembergAbstract Background To evaluate the feasibility and benefits of digitized informed patient consent (D-IPC) for contrast-enhanced CT and compare digitized documentation with paper-based, conventional patient records (C-PR). Methods We offered D-IPC to 2016 patients scheduled for a CT. We assessed patient history (e.g., CT examinations, malignant or cardiovascular diseases) and contraindications (red flags) for a CT (e.g., thyroid hyperfunction, allergies) using a tablet device. We evaluated the success rate of D-IPC and compared patient age between the subgroups of patients who were able or unable to complete D-IPC. We analyzed the prevalence of marked questions and red flags (RF). RF were compared with the documentation from C-PR. We estimated greenhouse gas (GHG) emissions for paperless workflow and provide a cost–benefit analysis. Results Overall, 84.4% of patients completed D-IPC. They were younger (median 61 years) than unsuccessful patients (65 years; p < 0.001). Patients who marked questions (21.7%) were older than patients without inquiries (median 63.9 vs 59.5 years; p < 0.001). The most prevalent RF was thyroid disease (23.8%). RF were considered critical for contrast-agent injection in 13.7%, requiring personalized preparation. The detection rate for RF documented with D-IPC was higher than for C-PR (n = 385 vs. 43). GHG emissions for tablet production are 80–90 times higher than for paper production. The estimated costs were slightly higher for D-IPC (+ 8.7%). Conclusion D-IPC is feasible, but patient age is a relevant factor. Marked questions and RF help personalize IPC. The availability of patient history by D-IPC was superior compared to C-PR.https://doi.org/10.1186/s13244-022-01304-6Informed consent documentPersonalized medicineHelical computed tomographyGreenhouse gasesElectronic medical records
spellingShingle Markus Kopp
Jan Peter Roth
Frederik Geisler
Sascha Daniel
Theresa Ruettinger
Christoph Treutlein
Eva L. Balbach
Rafael Heiss
Matthias Wetzl
Nouhayla El Amrani
Alexander Cavallaro
Michael Uder
Matthias S. May
Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine
Insights into Imaging
Informed consent document
Personalized medicine
Helical computed tomography
Greenhouse gases
Electronic medical records
title Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine
title_full Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine
title_fullStr Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine
title_full_unstemmed Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine
title_short Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine
title_sort digitized and structured informed patient consent before contrast enhanced computed tomography feasibility and benefits in clinical routine
topic Informed consent document
Personalized medicine
Helical computed tomography
Greenhouse gases
Electronic medical records
url https://doi.org/10.1186/s13244-022-01304-6
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