Interactive process mining of cancer treatment sequences with melanoma real-world data.

ABSTRACT: The growing availability of clinical real-world data (RWD) represents a formidable opportunity to complement evidence from randomized clinical trials and observe how oncological treatments perform in real-life conditions. In particular, RWD can provide insights on questions for which no clinical trials exist, such as comparing outcomes from different sequences of treatments. To this end, process mining is a particularly suitable methodology for analyzing different treatment paths and their associated outcomes. Here, we describe an implementation of process mining algorithms directly within our hospital information system with an interactive application that allows oncologists to compare sequences of treatments in terms of overall survival, progression-free survival and best overall respons

SUBMITTER: Wicky A 

PROVIDER: S-EPMC10072205 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature