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Changes in MRI Workflow of Multiple Sclerosis after Introduction of an AI-Software: A Qualitative Study.
- Source :
- Healthcare (2227-9032); May2024, Vol. 12 Issue 10, p978, 19p
- Publication Year :
- 2024
-
Abstract
- The purpose of this study was to explore the effects of the integration of machine learning into daily radiological diagnostics, using the example of the machine learning software mdbrain<superscript>®</superscript> (Mediaire GmbH, Germany) in the diagnostic MRI workflow of patients with multiple sclerosis at the University Medicine Greifswald. The data were assessed through expert interviews, a comparison of analysis times with and without the machine learning software, as well as a process analysis of MRI workflows. Our results indicate a reduction in the screen-reading workload, improved decision-making regarding contrast administration, an optimized workflow, reduced examination times, and facilitated report communication with colleagues and patients. Our results call for a broader and quantitative analysis. [ABSTRACT FROM AUTHOR]
- Subjects :
- MULTIPLE sclerosis diagnosis
DECISION support systems
COMPUTER software
ACADEMIC medical centers
QUALITATIVE research
NEUROLOGISTS
T-test (Statistics)
INTERVIEWING
MAGNETIC resonance imaging
DESCRIPTIVE statistics
WORKFLOW
HOSPITAL medical staff
COMPUTER-aided diagnosis
DEEP learning
ATTITUDES of medical personnel
MACHINE learning
DATA analysis software
EMPLOYEES' workload
CONTRAST media
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 12
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 177487637
- Full Text :
- https://doi.org/10.3390/healthcare12100978