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Leveraging explainable artificial intelligence to optimize clinical decision support
26
Zitationen
12
Autoren
2024
Jahr
Abstract
We developed a data-driven process to generate suggestions for improving alert criteria using XAI techniques. Our approach could identify improvements regarding clinical decision support (CDS) that might be overlooked or delayed in manual reviews. It also unveils a secondary purpose for the XAI: to improve quality by discovering scenarios where CDS alerts are not accepted due to workflow, education, or staffing issues.
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