What is Clinical trial patient matching?
Also: Clinical trial matching
Clinical trial patient matching, matching patients with suitable clinical trials. It is also referred to as Clinical trial matching in the literature.
In terms of data and intelligence
Clinical trial patient matching is related to applications that analyze clinical and operational data to provide input for decision-making processes for teams and managers.
Practical framework
AI-based concepts provide prediction and decision support by uncovering patterns in data, but do not replace the decision.
In summary
In short, clinical trial patient matching 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 more in-depth information, you can refer to the AI-Supported Hospital Management page, and for related concepts, check the Digital Dictionary page.
Sık Sorulan Sorular
What is clinical trial patient matching?
Matching patients with suitable clinical trials. (Also known as Clinical trial matching)
How is clinical trial patient matching used in AI-supported processes?
Clinical trial patient matching 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 trial patient matching?
Clinical trial patient matching is of interest to teams working in the field of Artificial Intelligence, particularly data/analytics teams and managers seeking decision support.