Abstract: Disclosed herein are methods and systems to predict and quantify a patient's burden when participating in a clinical trial. A method includes gathering data associated with pervious participants and their burden and experiences when participating in clinical trials. The method also includes executing data clean-up protocols to quantify and standardize the previous participants' experiences and burden. The method then includes training one or more computer models to identify connections between participants and their unique attributes in light of their standardized burden and to predict a patient burden score for a new patient participating in a new clinical trial.

Abstract: Disclosed herein are methods and systems to predict, quantify, and present a patient's burden when participating in a clinical trial. A method includes gathering data associated with a clinical trial, such as receiving operational parameters of a new clinical trial. The method also includes executing one or more computer models to predict a quantified burden associated with the clinical trial including a patient burden score, a site burden score, and/or a burden cost. The method then includes presenting an interactive electronic platform that includes one or more graphical user interfaces configured to present the patient burden score(s) where when one or more operational attributes of the clinical trial is revised, the electronic platform revises the presented data accordingly.