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Review
. 2024 Dec 27;7(1):381.
doi: 10.1038/s41746-024-01367-3.

Contrasting rule and machine learning based digital self triage systems in the USA

Bilal A Naved  1   2 , Yuan Luo  3
Affiliations
Review

Contrasting rule and machine learning based digital self triage systems in the USA

Bilal A Naved et al. NPJ Digit Med. .

Abstract

Patient smart access and self-triage systems have been in development for decades. As of now, no LLM for processing self-reported patient data has been published by health systems. Many expert systems and computational models have been released to millions. This review is the first to summarize progress in the field including an analysis of the exact self-triage solutions available on the websites of 647 health systems in the USA.

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Conflict of interest statement

Competing interests: BAN, has a personal financial interest in the company Clearstep Inc. YL has no competing interests and no financial ties to Clearstep Inc. YL serves on the editorial board of NPJ Digital Medicine.

Figures

Fig. 1
Fig. 1. Timeline for developing artificially intelligent systems that use patient self-reported data.
This timeline starts with the nurse call centers and shows how eventually their underlying content and decision rules were automated. Today there are a few distinct categories of patient self-service technologies powered by artificial intelligence.
See this image and copyright information in PMC

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