Rate of change in investigational treatment options: An analysis of reports from a large precision oncology decision support effort.

ABSTRACT:

Purpose

Genomic analysis of individual patients is now affordable, and therapies targeting specific molecular aberrations are being tested in clinical trials. Genomically-informed therapy is relevant to many clinical domains, but is particularly applicable to cancer treatment. However, even specialized clinicians need help to interpret genomic data, to navigate the complicated space of clinical trials, and to keep up with the rapidly expanding biomedical literature. To quantitate the cognitive load on treating clinicians, we attempt to quantitate the rate of change in potential treatment options for patients considering genomically-relevant and genomically-selected therapy for cancer.

Materials and methods

To this end, we analyzed patient-specific reports generated by a prec

SUBMITTER: Araya A 

PROVIDER: S-EPMC9131704 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature