2023
DOI: 10.1016/j.resplu.2022.100347
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Current summary of the evidence in drone-based emergency medical services care

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Cited by 28 publications
(16 citation statements)
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“…1 ). Design, content, and organization of the medical kit were informed by literature review, 11 stakeholder interviews, and expert opinion of authors.
Fig.
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Section: Methodsmentioning
confidence: 99%
“…1 ). Design, content, and organization of the medical kit were informed by literature review, 11 stakeholder interviews, and expert opinion of authors.
Fig.
…”
Section: Methodsmentioning
confidence: 99%
“…Reducing the time for critical medications to reach the site of a medical emergency has been a longstanding focus of prehospital medicine research [34]. Roberts et al [34] reviewed the current literature on the use of unmanned aerial vehicles, or drones to address a critical link in the chain of survival and found that this technology could significantly improve patient outcomes including for patients in need of naloxone to reverse an opioid overdose. As with most of the technologies discussed above however, real-world implementation will expose barriers and knowledge gaps which will need to be addressed, and ROORS will need to adapt accordingly to embed drone technology for it to reach its full potential [34].…”
Section: Drone-based Emergency Naloxone Deliverymentioning
confidence: 99%
“…The physical space would be predefined as one with increased traffic of people like to experience an opioid overdose. Examples include the South End Clinic AntiMotion sensor and the Brave sensor which uses ultra-sensitive radar in public washrooms and sets off an alert to staff should there be a reduction of movement (presumed to be due to an overdose) [20 ▪▪ ,34]. Wilson et al [35] recently conducted a pilot controlled environment comparative study comparing three fixed location passive infrared sensors against standard electrode montage and respiratory equipment polysomnography (PSG) to detect increased movements due to pain and opioid withdrawal symptoms or decreased movements associated with apnoeic events.…”
Section: Digital Phenotyping and Precision Medicinementioning
confidence: 99%
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