Clinician perspectives on machine learning prognostic algorithms in the routine care of patients with cancer: a qualitative study.

ABSTRACT:

Purpose

Oncologists may overestimate prognosis for patients with cancer, leading to delayed or missed conversations about patients' goals and subsequent low-quality end-of-life care. Machine learning algorithms may accurately predict mortality risk in cancer, but it is unclear how oncology clinicians would use such algorithms in practice.

Methods

The purpose of this qualitative study was to assess oncology clinicians' perceptions on the utility and barriers of machine learning prognostic algorithms to prompt advance care planning. Participants included medical oncology physicians and advanced practice providers (APPs) practicing in tertiary and community practices within a large academic healthcare system. Transcripts were coded and analyzed inductively using NVivo software.

SUBMITTER: Parikh RB 

PROVIDER: S-EPMC10232355 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature