Implementation approaches and barriers for rule-based and machine learning-based sepsis risk prediction tools: a qualitative study.

Further implementation science research is needed to determine real world efficacy of these tools. Clinician acceptance is a significant barrier to sepsis CDS implementation. Successful implementation of less clinically intuitive ML models may require additional attention to user confusion and distrust.