Evidence map›Paper›PMID 40206731›Full record

ArticleMayo Clinic proceedings. Digital health2023

Satellite-Linked Remote Physiologic Monitoring During Simulated Rural Ground Ambulance and Rotor Wing Transports.

Christopher S Russi, Christopher Felton, Chad Liedl, William A Carey, Timothy B Curry, Thomas R Flipse, Stephen J Gleich, David R Holmes, Pierre Noel, Anu Luke and 2 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Christopher S RussiDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN.
Christopher FeltonSpecial Products Processor Development Group, Mayo Clinic, Rochester, MN.
Chad LiedlMayo Clinic Ambulance Service, Mayo Clinic, Rochester, MN.
William A CareyDivision of Neonatal Medicine, Mayo Clinic, Rochester, MN.
Timothy B CurryDepartment of Anesthesiology, Mayo Clinic, Rochester, MN.
Thomas R FlipseDivision of Cardiology, Mayo Clinic, Jacksonville, FL.
Stephen J GleichDepartment of Anesthesiology, Mayo Clinic, Rochester, MN.
David R HolmesBiomedical Analytics and Computational Engineering Lab, Physiology and Biomedical Engineering, Rochester, MN.
Pierre NoelDivision of Hematology, Mayo Clinic, Scottsdale, AZ.
Anu LukeDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN.
Aaron KlassenDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN.
Clifton R HaiderSpecial Products Processor Development Group, Mayo Clinic, Rochester, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine and remote monitoring are rapidly gaining momentum in health care, including in-home and postdischarge monitoring. However, remote monitoring for telemedicine teams and receiving medical centers is yet to reach emergency medical services. When transporting a critically ill patient, continuous vital sign monitoring may be helpful to enhance receiving center collaboration and change care delivery before arrival when necessary. Our primary objective was to demonstrate successful transmission and reception of real-time physiologic summary data to a hospital base station during ambulance transport using a low-energy Bluetooth wireless wearable device linked to iridium satellite communications. We completed our proof-of-concept study on 2 simulated ground ambulance transports and 1 helicopter flight in rural areas surrounding Rochester, Minnesota. Each simulated transport used Mayo Clinic-developed wearable devices paired one-to-one with a physiologic communication kit. Electrocardiographic and photoplethysmographic waveforms were processed on the wearables every 5 minutes, with vital sign data generated and transmitted to an iridium satellite and relayed to a base station network-protected computer and mobile application with real-time display of summary and location. Data and geolocation were tracked in real time with a mobile application during the simulated transport, and summary data packets were saved on Mayo Clinic servers. During the 3 simulated rural transports, all (n=7; 100%) wearables successfully captured, recorded, and transmitted raw waveform physiologic signals. All devices transmitted successfully via the iridium satellite to the base station network-protected computer and mobile application. In all, 106 (69%) of 154 transmissions were successfully processed. Our project demonstrated successful remote monitoring of physiologic vital signs during transport in rural, low-cellular signal areas. The use of live remote monitoring should be explored to understand its utility in practice and outcomes.

Identifiers

PMID40206731
PMCPMC11975697

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.