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      Prehospital digital photography and automated image transmission in an emergency medical service – an ancillary retrospective analysis of a prospective controlled trial

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          Abstract

          Background

          Still picture transmission was performed using a telemedicine system in an Emergency Medical Service (EMS) during a prospective, controlled trial. In this ancillary, retrospective study the quality and content of the transmitted pictures and the possible influences of this application on prehospital time requirements were investigated.

          Methods

          A digital camera was used with a telemedicine system enabling encrypted audio and data transmission between an ambulance and a remotely located physician. By default, images were compressed (jpeg, 640 x 480 pixels). On occasion, this compression was deactivated (3648 x 2736 pixels). Two independent investigators assessed all transmitted pictures according to predefined criteria. In cases of different ratings, a third investigator had final decision competence. Patient characteristics and time intervals were extracted from the EMS protocol sheets and dispatch centre reports.

          Results

          Overall 314 pictures (mean 2.77 ± 2.42 pictures/mission) were transmitted during 113 missions (group 1). Pictures were not taken for 151 missions (group 2). Regarding picture quality, the content of 240 (76.4%) pictures was clearly identifiable; 45 (14.3%) pictures were considered “limited quality” and 29 (9.2%) pictures were deemed “not useful” due to not/hardly identifiable content. For pictures with file compression (n = 84 missions) and without (n = 17 missions), the content was clearly identifiable in 74% and 97% of the pictures, respectively (p = 0.003). Medical reports (n = 98, 32.8%), medication lists (n = 49, 16.4%) and 12-lead ECGs (n = 28, 9.4%) were most frequently photographed. The patient characteristics of group 1 vs. 2 were as follows: median age – 72.5 vs. 56.5 years, p = 0.001; frequency of acute coronary syndrome – 24/113 vs. 15/151, p = 0.014. The NACA scores and gender distribution were comparable. Median on-scene times were longer with picture transmission (26 vs. 22 min, p = 0.011), but ambulance arrival to hospital arrival intervals did not differ significantly (35 vs. 33 min, p = 0.054).

          Conclusions

          Picture transmission was used frequently and resulted in an acceptable picture quality, even with compressed files. In most cases, previously existing “paper data” was transmitted electronically. This application may offer an alternative to other modes of ECG transmission. Due to different patient characteristics no conclusions for a prolonged on-scene time can be drawn. Mobile picture transmission holds important opportunities for clinical handover procedures and teleconsultation.

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          Most cited references17

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          Feasibility of Prehospital Teleconsultation in Acute Stroke – A Pilot Study in Clinical Routine

          Background Inter-hospital teleconsultation improves stroke care. To transfer this concept into the emergency medical service (EMS), the feasibility and effects of prehospital teleconsultation were investigated. Methodology/Principal Findings Teleconsultation enabling audio communication, real-time video streaming, vital data and still picture transmission was conducted between an ambulance and a teleconsultation center. Pre-notification of the hospital was carried out with a 14-item stroke history checklist via e-mail-to-fax. Beside technical assessments possible influences on prehospital and initial in-hospital time intervals, prehospital diagnostic accuracy and the transfer of stroke specific data were investigated by comparing telemedically assisted prehospital care (telemedicine group) with local regular EMS care (control group). All prehospital stroke patients over a 5-month period were included during weekdays (7.30 a.m. –4.00 p.m.). In 3 of 18 missions partial dropouts of the system occurred; neurological co-evaluation via video transmission was conducted in 12 cases. The stroke checklist was transmitted in 14 cases (78%). Telemedicine group (n = 18) vs. control group (n = 47): Prehospital time intervals were comparable, but in both groups the door to brain imaging times were longer than recommended (median 59.5 vs. 57.5 min, p = 0.6447). The prehospital stroke diagnosis was confirmed in 61% vs. 67%, p = 0.8451. Medians of 14 (IQR 9) vs. 5 (IQR 2) stroke specific items were transferred in written form to the in-hospital setting, p<0.0001. In 3 of 10 vs. 5 of 27 patients with cerebral ischemia thrombolytics were administered, p = 0.655. Conclusions Teleconsultation was feasible but technical performance and reliability have to be improved. The approach led to better stroke specific information; however, a superiority over regular EMS care was not found and in-hospital time intervals were unacceptably long in both groups. The feasibility of prehospital tele-stroke consultation has future potential to improve emergency care especially when no highly trained personnel are on-scene. Trial Registration International Standard Randomised Controlled Trial Number Register (ISRCTN) ISRCTN83270177 83270177.
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            Effect on treatment delay of prehospital teletransmission of 12-lead electrocardiogram to a cardiologist for immediate triage and direct referral of patients with ST-segment elevation acute myocardial infarction to primary percutaneous coronary intervention.

            Prehospital electrocardiogram (ECG) transmission to hospitals was shown to reduce time to treatment in patients with acute myocardial infarction. However, new technologies allow transmission directly to a mobile unit so an attending physician can respond irrespective of presence within or outside the hospital. The primary study purpose was to determine whether delays could be decreased in an urban area by transmitting a prehospital 12-lead ECG directly to the attending cardiologist's mobile telephone for rapid triage and transport to a primary percutaneous coronary intervention (PCI) center, bypassing local hospitals and emergency departments. A secondary purpose was to describe whether transport would be safe despite longer transport times. During a 2-year period, patients with acute nontraumatic chest pain had their prehospital ECG transmitted directly to a cardiologist's mobile telephone. Time to treatment was compared with historic controls. After ECG evaluation, 168 patients (30%) were referred directly for PCI, and 146 of these (87%) underwent emergent catheterization. In referred patients, median time from 911 call to PCI was significantly shorter than in the control group (74 vs 127 minutes; p 1 hour when patients were transported directly to PCI centers, bypassing local hospitals. Ambulance transport seems safe despite longer transport times.
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              The STAT-MI (ST-Segment Analysis Using Wireless Technology in Acute Myocardial Infarction) trial improves outcomes.

              The goal of this study was to evaluate the impact of the STAT-MI (ST-Segment Analysis Using Wireless Technology in Acute Myocardial Infarction) network on outcomes in the treatment of patients presenting with ST-segment elevation myocardial infarction (STEMI). Shortening door-to-balloon (D2B) time remains a national priority for the treatment of STEMI. We previously reported a fully automated wireless network (STAT-MI) for transmission of electrocardiograms (ECGs) for suspected STEMI from the field to offsite cardiologists, allowing early triage with shortening of subsequent D2B times. We now report the impact of the STAT-MI wireless network on infarct size, length of hospital stay (LOS), and mortality. A fully automated wireless network (STAT-MI) was developed to enable automatic 12-lead ECG transmission and direct communication between emergency medical services personnel and offsite cardiologists that facilitated direct triage of patients to the cardiac catheterization laboratory. Demographic, laboratory, and time interval data of STAT-MI network patients were prospectively collected over a 33-month period and compared with concurrent control patients who presented with STEMI through non-STAT-MI pathways. From June 2006 through February 2009, 92 patients presented via the STAT-MI network, and 50 patients presented through non-STAT-MI pathways (control group). Baseline clinical and demographic variables were similar in both groups. Overall, compared with control subjects, STAT-MI patients had significantly shorter D2B times (63 [42 to 87] min vs. 119 [96 to 178] min, U = 779.5, p < 0.00004), significantly lower peak troponin I (39.5 [11 to 120.5] ng/ml vs. 87.6 [38.4 to 227] ng/ml, U = 889.5, p = 0.005) and creatine phosphokinase-MB (126.1 [37.2 to 280.5] ng/ml vs. 290.3 [102.4 to 484] ng/ml, U = 883, p = 0.001), higher left ventricular ejection fractions (50% [35 to 55] vs. 35% [25 to 52], U = 1,075, p = 0.004), and shorter LOS (3 [2 to 4] days vs. 5.5 [3.5 to 10.5] days, U = 378, p < 0.001). A fully automated, field-based, wireless network that transmits ECGs automatically to offsite cardiologists for the early evaluation and triage of patients with STEMI shortens D2B times, reduces infarct size, limits ejection fraction reduction, and shortens LOS. Copyright © 2011 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Scand J Trauma Resusc Emerg Med
                Scand J Trauma Resusc Emerg Med
                Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
                BioMed Central
                1757-7241
                2013
                16 January 2013
                : 21
                : 3
                Affiliations
                [1 ]Department of Anaesthesiology, University Hospital Aachen, RWTH Aachen University, Pauwelsstr. 30, Aachen, D–52074, Germany
                [2 ]Department of Medical Statistics, RWTH Aachen University, Aachen, Germany
                Article
                1757-7241-21-3
                10.1186/1757-7241-21-3
                3568016
                23324531
                96c74e4d-6f07-4d92-a843-9a97a0bcfab9
                Copyright ©2013 Bergrath et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 August 2012
                : 13 January 2013
                Categories
                Original Research

                Emergency medicine & Trauma
                telemedicine,teleconsultation,digital image,emergency medical service,picture transmission,photo transmission

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