This document outlines 10 key benefits of a predictive analytics tool for intensive care units, including that it intuitively collects and structures patient data, helps manage patient care processes, and allows for instant assessment of a patient's condition. It also cross-validates relationships between vital signs and treatments, improves care protocols to maximize outcomes, measures effectiveness of protocols and therapies, and performs cost-benefit analyses of different techniques. Finally, it automates data capture processes and builds predictive models to detect patterns and estimate responses to care.

1. Intuitive tool that collects,
organizes and structures the
data in a fast and easy way.
Helps manage the patient care
processes.
Instant assessment of the
patient's medical condition.
Cross-validation techniques
that discover relationships
between vital signs and
treatments.
Improves the care protocols to
maximize outcomes.
Measures the effectiveness of
certain protocols, therapies or
techniques used to compare
and detect side effects.
Cost-benefit analysis.
Compares techniques in
relation to costs, repayment
terms, effects, etc.
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Published in ehCOS eHealth HUB. What do doctors and nurses
expect of Big Data Predictive Analytics in the ICU? ehcos.com
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Automated and standardized
processes for capturing
patient data.
1001
0010
Predictive models to detect
behavioral patterns to
estimate the response to care
and the various treatments
used.
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ehCOS
SMART ICU
10KEY BENEFITS
for Intensive Care Units