Since the 1970s, telemedicine has transformed significantly, becoming a critical component of modern healthcare delivery. Over time, technological innovation has increasingly emphasised the integration of the human body with digital systems to develop non-invasive methods for monitoring physiological parameters. Among these technologies, wearable sensors demonstrate substantial potential for continuous patient monitoring. These devices can facilitate real-time data collection, enable more rapid clinical decision-making and promote active patient participation in health management. Such capabilities are particularly valuable in emergency contexts, including prehospital care provided by ambulance services and telephone triage systems. Despite the growing interest in wearable health technologies, their integration into emergency medical services (EMS) remains insufficiently explored and warrants further investigation. We aim to map current research, explore the use of wearables in EMS settings and identify gaps in knowledge regarding their use in EMS.

This scoping review will follow the Joanna Briggs Institute’s (JBI) methodology for scoping reviews. A systematic search of relevant databases (MEDLINE, EMBASE, Cochrane Library, CINAHL, ProQuest and Web of Science) will be conducted, from inception to March 2026. All types of study designs, including quantitative and qualitative studies, will be considered in this scoping review. The inclusion is limited to studies published in English. Two independent reviewers (RA and AA) will conduct a thorough screening of titles and abstracts against the predefined inclusion criteria. Studies that meet the inclusion criteria will be reviewed in full text. Quality and risk of bias will be assessed using the JBI’s critical appraisal tools for the relevant study types. The findings will be presented using diagrams or tables, supplemented by narrative summaries following the JBI guidelines.

Ethical approval is not required. The findings of this study will be disseminated via publication in a peer-reviewed journal.

Open Science Framework (10.17605/OSF.IO/MUEFX).