Back to Search
Start Over
Digitized and structured informed patient consent before contrast-enhanced computed tomography: feasibility and benefits in clinical routine.
- Source :
- Insights into Imaging; 10/11/2022, Vol. 13 Issue 1, p1-13, 13p
- Publication Year :
- 2022
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18694101
- Volume :
- 13
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Insights into Imaging
- Publication Type :
- Academic Journal
- Accession number :
- 159739980
- Full Text :
- https://doi.org/10.1186/s13244-022-01304-6