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Fingerprint-Based Patient Identification Technology: Simulated Pilot Study on Technical Performance and Usability.

Ginger Schroers¹, Marta Del Rio Oliva², Jenny O'Rourke¹

¹Loyola University Chicago, 2160 S. First Avenue, Maywood, IL, 60153, United States, 1 708-216-9000.

JMIR Biomedical Engineering

|July 9, 2026

Summary

An artificial intelligence (AI) system using fingerprints for patient identification showed it was technically feasible and acceptable to healthcare workers in a simulated setting. Further real-world studies are needed to confirm these promising preliminary findings.

Keywords:

healthcare system medical errors patient identification system patient safety patient tracking simulation

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Area of Science:

Biomedical Informatics
Healthcare Technology
Patient Safety

Background:

Accurate patient identification is crucial for safe healthcare delivery.
Current identification methods can be prone to errors.
Innovative solutions are needed to improve patient identification accuracy.

Purpose of the Study:

To evaluate the technical feasibility of an AI-powered, fingerprint-based patient identification system.
To assess the user acceptability of this novel system among healthcare professionals.
To determine the system's potential for real-world clinical application.

Main Methods:

A pilot study was conducted in a simulated clinical environment.
An artificial intelligence system utilizing fingerprint biometrics for patient identification was implemented.
Healthcare workers interacted with the system to evaluate its usability and performance.

Main Results:

The AI-supported fingerprint identification system demonstrated preliminary technical feasibility.
Healthcare workers found the system acceptable for use in a simulated setting.
The system showed potential for improving patient identification processes.

Conclusions:

The AI-driven fingerprint identification system is a promising technology for healthcare.
Further real-world evaluation is warranted to validate its effectiveness and efficiency.
This technology could enhance patient safety and streamline clinical workflows.