Artificial intelligence guided dosing decisions: a qualitative study on health care provider perspectives.

ABSTRACT:

Objectives

Tailoring medication dosing to an individual's traits is complex, but artificial intelligence (AI) advancements enable greater precision. Our study objectives were to gauge healthcare providers' perspectives on AI-guided precision dosing and to identify barriers and enablers for adopting AI-guided precision dosing into clinical practice.

Methods

We conducted a qualitative study using purposive sampling to select a diverse group of healthcare providers, thereby broadening the viewpoints. We explored their receptiveness to AI-enabled dosing and sought to uncover implementation challenges. During the interviews, we introduced CURATE.AI as an example of an AI dosing tool. We analysed the data using deductive methods, coding the data according to the Unified Theory of

SUBMITTER: Sumner J 

PROVIDER: S-EPMC12496069 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature