What is Clinical Outcome Analytics?
Clinical Outcome Analytics, analysis of clinical outcomes using data.
How does it work?
Reliable analytics depend on consistently collected data and clearly defined metrics.
In terms of data and intelligence
Clinical outcome analytics is related to the approach of transforming data into insights and decision support in AI-supported health processes. The goal is not to make decisions in place of humans, but to make the right data visible at the right time.
In summary
In summary, clinical outcome analytics is one of the building blocks that constitute the digital maturity of a healthcare institution; it is more of an approach that generates value when properly structured than a singular tool.
To see this concept in context, you can check the AI-Supported Hospital Management guide, and return to the Digital Dictionary page for other terms.
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What is Clinical Outcome Analytics?
Analysis of clinical outcomes using data.
How is Clinical Outcome Analytics used in AI-supported processes?
Clinical outcome analytics plays a role in transforming clinical and operational data into insights; it does not make decisions but supports the decisions of relevant teams.
Who is interested in Clinical Outcome Analytics?
Clinical outcome analytics is of interest to teams working in the field of Artificial Intelligence, primarily data/analytics teams and managers seeking decision support.