What is Clinical Explainability?
Clinical explainability refers to the explainability of clinical AI decisions.
In terms of data and intelligence
Clinical explainability is related to applications that provide input to teams and managers in decision-making processes by analyzing clinical and operational data.
How does it work?
AI-based concepts provide prediction and decision support by uncovering patterns in data, but do not replace the decision.
In summary
In short, clinical explainability is one of the building blocks that constitute the digital maturity of a healthcare institution; it is an approach that generates value when properly structured, rather than a singular tool.
For relevant consulting areas, you can check our solutions and review the AI-Supported Hospital Management guide to see the whole subject.
Sık Sorulan Sorular
What is clinical explainability?
Explainability of clinical AI decisions.
How is clinical explainability used in AI-supported processes?
Clinical explainability plays a role in transforming clinical and operational data into insights; it does not make the decision but supports the decision of the relevant teams.
Who is concerned with clinical explainability?
Clinical explainability concerns teams working in the field of Artificial Intelligence, primarily data/analytics teams and managers seeking decision support.