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...
Main Authors: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1811182264918212608 |
---|---|
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. |
first_indexed | 2024-04-11T09:29:52Z |
format | Article |
id | doaj.art-29900c2332e84c01a25edbb1d18c40a1 |
institution | Directory Open Access Journal |
issn | 1869-4101 |
language | English |
last_indexed | 2024-04-11T09:29:52Z |
publishDate | 2022-10-01 |
publisher | SpringerOpen |
record_format | Article |
series | Insights into Imaging |
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 |
work_keys_str_mv | AT markuskopp digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT janpeterroth digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT frederikgeisler digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT saschadaniel digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT theresaruettinger digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT christophtreutlein digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT evalbalbach digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT rafaelheiss digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT matthiaswetzl digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT nouhaylaelamrani digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT alexandercavallaro digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT michaeluder digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine AT matthiassmay digitizedandstructuredinformedpatientconsentbeforecontrastenhancedcomputedtomographyfeasibilityandbenefitsinclinicalroutine |