Use of an Ambient Artificial Intelligence Tool to Improve Quality of Clinical Documentation

Overview

Journal Future Healthc J

Specialty Health Services

Date 2024 Oct 7

PMID 39371531

Authors

Jasmine Balloch

Shankar Sridharan

Geralyn Oldham

Jo Wray

Paul Gough

Robert Robinson

Neil J Sebire

Saleh Khalil

Elham Asgari

Christopher Tan

Andrew Taylor

Dominic Pimenta

Affiliations

Soon will be listed here.

Abstract

Background: Electronic health records (EHRs) have contributed to increased workloads for clinicians. Ambient artificial intelligence (AI) tools offer potential solutions, aiming to streamline clinical documentation and alleviate cognitive strain on healthcare providers.

Objective: To assess the clinical utility of an ambient AI tool in enhancing consultation experience and the completion of clinical documentation.

Methods: Outpatient consultations were simulated with actors and clinicians, comparing the AI tool against standard EHR practices. Documentation was assessed by the Sheffield Assessment Instrument for Letters (SAIL). Clinician experience was measured through questionnaires and the NASA Task Load Index.

Results: AI-produced documentation achieved higher SAIL scores, with consultations 26.3% shorter on average, without impacting patient interaction time. Clinicians reported an enhanced experience and reduced task load.

Conclusions: The AI tool significantly improved documentation quality and operational efficiency in simulated consultations. Clinicians recognised its potential to improve note-taking processes, indicating promise for integration into healthcare practices.

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