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The following guidelines were incorporated into its prompt: (1) adopt a teaching role tailored to patients with limited medical knowledge; (2) provide accurate, comprehensive explanations of medical terms and procedures in simple, relatable language; (3) exhibit empathy and warmth while refraining from making medical recommendations outside the scope of a patient-education nurse; and (4) ensure consistency in tone and responsiveness to patient questions while maintaining a clear boundary of professional role
JMIR Nursing 2025;8:e63058
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The implementation of artificial intelligence (AI)–driven automated medical history–taking systems with differential diagnosis generators is a promising solution, as these systems provide a list of potential differential diagnoses before the information is collected by physicians, thereby aiding more accurate diagnoses [4]. However, AI-related diagnostic errors have become a problem [5].
JMIR Form Res 2024;8:e58666
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However, at present, it is unclear whether LLMs can provide sufficiently accurate triage for use in a disaster.
Presently, the Simple Triage and Rapid Treatment (START) algorithm, which divides disaster casualties into four different triage codes, is the most commonly used model for disaster triage [5]. Disaster casualties are classified into four groups that are named by priority and color: red (immediate), yellow (delayed), green (ambulatory), and black (expectant) [5].
J Med Internet Res 2024;26:e55648
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There will also be issues about the necessity of regular calibration and how often those calibrations will be needed for accurate blood pressure measurements. Ultimately, a calibration-free system is needed, but the development of calibration-free devices is still ongoing [24]. To minimize the calibration issues, new devices that can be used without calibration should be developed.
JMIR Mhealth Uhealth 2023;11:e44147
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