Prehospital emergency care is typically constrained by the inefficiency of time management, limited access to resources, and variability in the skill of providers. Clinical events in major trauma, out-of-hospital cardiac arrest, and acute ischemic stroke are subject to triage and delay in decision making, and under such circumstances, a minute at a time is an absolute morbidity and mortality determinant. New technologies in artificial intelligence (AI), wearable sensor-based biometric monitoring, and smart glasses, such as those with augmented reality capabilities, now hold the promise of transforming prehospital care into a real-time, integrated, and cognitively augmented environment. These technologies potentially fill existing gaps in the accuracy of diagnostics, the timeliness of therapeutics, and continuity of care, and thus attain optimized patient outcomes in a very wide range of emergencies.

    
We carried out a narrative synthesis through studies published between 2015 and 2024. Searches of PubMed, Scopus, and IEEE Xplore used combinations of keywords related to prehospital emergency care, tele-emergency medicine, wearable monitoring, and smart glasses. Inclusion and Exclusion Criteria Our criteria for study eligibility were study descriptions and/or examination of telemedicine platforms or wearable biosensors with respect to prehospital and/or emergency care. Whenever articles reported at least one relevant outcome regarding diagnostics (accuracy), clinical feasibility, usability, or outcome aspects related to patient-centered outcomes, they were included. We also considered research that sought to implement smart glasses into medical workflows. This shows concepts related to emergency medicine and, perhaps by extension, surgical care and prehospital emergency care. Excluded articles were not peer-reviewed, were opinion articles, or presented data only in the form of conference abstracts with no further data beyond abstract levels. Data extraction and data synthesis As two reviewers screened titles and abstracts and identified studies to be critically appraised against our criteria, the data we extracted indicated study designs, populations, intervention details, and outcomes. They were thematically organized within four broad domains: accuracy, feasibility, usability, and clinical impact, including the application of AI-enabled smart glasses in prehospital care.

The implementation of smart glasses has solidified their promise of providing real-time video consults and enabling remote clinicians to provide more accurate guidance during resuscitation and sophisticated care for pre-hospital providers. The implementation of algorithm-directed Artificial Intelligence (AI)-led monitoring during the recognition of arrhythmias and during the prediction of hemodynamic instability implies the enhanced identification of deterioration at salient points. The simultaneous implementation of smart glasses and wearables provides streams of real-time physiological monitoring. In parallel, voice-dictation clinical notes, by virtue of   AI-assisted natural language processing, reduce cognitive burden. Early pilots imply improved protocol compliance, reduced delay in decision making, and improved training for prehospital teams. Connectivity and safety of, and           ergonomics in user design by reference to the implementation of complementary service provision within current emergency care workflows continue to raise concerns.

The smart glasses powered by artificial intelligence make a transformative leap for prehospital care in connecting first responders and high-level real-time analytics and knowledge, and closed remote real-time physician care networks.  With wearable and remote integrated tech for real-time care monitoring, more promise exists for care variability reduction, refinement in executing important information, and emergency survival optimization in time-limited events. Future studies should include a stress on more high-scale population-based studies and research about cost-benefit and potential for smooth integration in heterogeneous emergency care systems