Clinician perspectives on clinical decision support systems in lung cancer: Implications for shared decision-making.

ABSTRACT:

Background

Lung cancer treatment decisions are typically made among clinical experts in a multidisciplinary tumour board (MTB) based on clinical data and guidelines. The rise of artificial intelligence and cultural shifts towards patient autonomy are changing the nature of clinical decision-making towards personalized treatments. This can be supported by clinical decision support systems (CDSSs) that generate personalized treatment information as a basis for shared decision-making (SDM). Little is known about lung cancer patients' treatment decisions and the potential for SDM supported by CDSSs. The aim of this study is to understand to what extent SDM is done in current practice and what clinicians need to improve it.

Objective

To explore (1) the extent to which patient pre

SUBMITTER: Ankolekar A 

PROVIDER: S-EPMC9327823 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature