Slide 28
Slide 28 text
28 BUILD SOFTWARE TO TEST SOFTWARE
AI Testing Talks
Loftus, Tyler J., et al. "Opportunities for machine learning to improve surgical ward safety." The American Journal of Surgery 220.4 (2020): 905-913.
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Physiological
data
Ward
admission
Streaming
electronic
health records
Early risk stratification
guides initial
triage to ward vs.
intensive care unit
Efficient, automated,
wireless data acquisition
making
Wearables
Machine
learning
Clinical
assessment
Early
recovery
Decompensation
Rapid
response
Delayed
recovery
Rehabilitation
Discharge
home
Accurate phenotyping,
augmented
decision-making
Early recognition
Cardiac
arrest
Automated alerts,
augmented
decision-making, early
intervention