End user experience of a widely used artificial intelligence based sepsis system.

ABSTRACT:

Objectives

Research on the Epic Sepsis System (ESS) has predominantly focused on technical accuracy, neglecting the user experience of healthcare professionals. Understanding these experiences is crucial for the design of Artificial Intelligence (AI) systems in clinical settings. This study aims to explore the socio-technical dynamics affecting ESS adoption and use, based on user perceptions and experiences.

Materials and methods

Resident doctors and nurses with recent ESS interaction were interviewed using purposive sampling until data saturation. A content analysis was conducted using Dedoose software, with codes generated from Sittig and Singh's and Salwei and Carayon's frameworks, supplemented by inductive coding for emerging themes.

Results

Interviews with 10 hea

SUBMITTER: Owoyemi A 

PROVIDER: S-EPMC11458550 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature