Feasibility of a multimodal AI-based clinical assessment platform in emergency care: an exploratory pilot study.

ABSTRACT:

Background

Overcrowding in emergency departments (EDs) is a key challenge in modern healthcare, affecting not only patient and staff comfort but also mortality rates and quality of care. Artificial intelligence (AI) offers the potential to optimize ED workflows by automating processes such as triage, history-taking and documentation. To explore a potential approach to overcrowding, we developed a multimodal and modular AI-based platform that integrates these functions into a single system. This exploratory pilot study investigated the feasibility of implementing the platform, focusing particularly on usability and patient trust in the system.

Methods

Ambulatory patients triaged as non-urgent at the Marburg University Hospital ED were recruited. After providing written consen

SUBMITTER: Russ P 

PROVIDER: S-EPMC12533282 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature