Contrasting rule and machine learning based digital self triage systems in the USA
2024

Review of Digital Self-Triage Systems in the USA

Sample size: 647 publication Evidence: moderate

Author Information

Author(s): Naved Bilal A., Luo Yuan

Primary Institution: Northwestern University

Conclusion

The review summarizes the progress and challenges of digital self-triage systems in the USA, highlighting the need for improved accuracy and regulatory guidance.

Supporting Evidence

  • Digital self-triage systems have been in development for decades.
  • 95% of nurse call centers in the USA use the Schmitt–Thompson telephone triage protocols.
  • Only 7.57% of health systems have adopted a self-triage solution.

Takeaway

This study looks at how patients can use online tools to figure out what kind of medical care they need, and it shows that many health systems still don't have these tools available.

Methodology

The review analyzes existing self-triage solutions available on the websites of 647 health systems in the USA.

Potential Biases

Potential biases in the accuracy of self-triage systems due to variability in human decision-making and lack of a gold standard.

Limitations

The review focuses solely on the U.S. healthcare system and does not include regulatory perspectives from other regions.

Participant Demographics

The study examines health systems across the USA, but specific demographic details of participants are not provided.

Digital Object Identifier (DOI)

10.1038/s41746-024-01367-3

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