Template for documenting and reporting data in physician-staffed pre-hospital services: a consensus-based update

Tønsager, Kristin; Krüger, Andreas; Ringdal, Kjetil Gorseth; Rehn, Marius

doi:10.1186/s13049-020-0716-1

Cited by 9 publications

(7 citation statements)

References 44 publications

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“…All HEMS units use the FHDB to report their missions. FHDB follows the international consensus guidelines for reporting physician led HEMS operations [22] . Previous studies have validated the data in the FHDB [23] .…”

Section: Settingmentioning

confidence: 99%

See 1 more Smart Citation

Effect of time intervals in critical care provided by helicopter emergency medical services on 30-day survival after trauma

Björkman

Setälä

Pulkkinen

et al. 2022

Injury

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Section: Settingmentioning

confidence: 99%

“…Accuracy of time stamps, time point definitions and time interval definitions are well described in the international consensus guidelines for physician-staffed HEMS services. [22]…”

Section: Variablesmentioning

confidence: 99%

Effect of time intervals in critical care provided by helicopter emergency medical services on 30-day survival after trauma

Björkman

Setälä

Pulkkinen

et al. 2022

Injury

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“…Designed to standardise prehospital documenting and reporting policies, a consensus-based template for physician-staffed prehospital services was first published in 2011 [ 1 ]. The feasibility of this template has been demonstrated, and it has been recently updated [ 2 , 3 ]…”

Section: Introductionmentioning

confidence: 99%

Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses

Tommila

Pappinen

Raatiniemi

et al. 2022

Scand J Trauma Resusc Emerg Med

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Background Prehospital medical problem reporting is essential in the management of helicopter emergency medical services (HEMS) operations. The consensus-based template for reporting and documenting in physician-staffed prehospital services exists and the classification of medical problems presented in the template is widely used in research and quality improvement. However, validation of the reported prehospital medical problem is lacking. This study aimed to describe the in-hospital diagnoses, patient characteristics and medical interventions in different categories of medical problems. Methods This retrospective, observational registry study examined the 10 most common in-hospital International Statistical Classification of Disease (ICD-10) diagnoseswithin different prehospital medical problem categories, defined by the HEMS physician/paramedic immediately after the mission was completed. Data were gathered from a national HEMS quality registry and a national hospital discharge registry. Patient characteristics and medical interventions related to different medical problem categories are also described. Results A total of 33,844 patients were included in the analyses. All the medical problem categories included a broad spectrum of ICD-10 diagnoses (the number of diagnosis classes per medical problem category ranged from 73 to 403). The most frequent diagnoses were mainly consistent with the reported medical problems. Overlapping of ICD-10 diagnoses was mostly seen in two medical problem categories: stroke and acute neurology excluding stroke. Additionally, typical patient characteristics and disturbances in vital signs were related to adequate medical problem categories. Conclusions Medical problems reported by HEMS personnel have adequate correspondence to hospital discharge diagnoses. However, the classification of cerebrovascular accidents remains challenging.

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“…A patient record documented in the field promotes a continuum of care, playing a vital clinical role in the subsequent treatment of patients in emergency rooms, trauma centers, or other receiving facilities. Complete and effective documentation of prehospitalization care informs clinicians and staff of presenting vitals and symptoms, the initial assessment of the condition, attempted prehospitalization interventions, and observed response to the interventions [1][2][3]. Failure to report initial findings and interventions in the field may result in clinical errors such as inadvertent overdose due to duplicate administration of the same medication by paramedic and emergency department physicians [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Complete and Resilient Documentation for Operational Medical Environments Leveraging Mobile Hands-free Technology in a Systems Approach: Experimental Study

Woo¹,

Mishra²,

Lin³

et al. 2021

JMIR Mhealth Uhealth

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Background Prehospitalization documentation is a challenging task and prone to loss of information, as paramedics operate under disruptive environments requiring their constant attention to the patients. Objective The aim of this study is to develop a mobile platform for hands-free prehospitalization documentation to assist first responders in operational medical environments by aggregating all existing solutions for noise resiliency and domain adaptation. Methods The platform was built to extract meaningful medical information from the real-time audio streaming at the point of injury and transmit complete documentation to a field hospital prior to patient arrival. To this end, the state-of-the-art automatic speech recognition (ASR) solutions with the following modular improvements were thoroughly explored: noise-resilient ASR, multi-style training, customized lexicon, and speech enhancement. The development of the platform was strictly guided by qualitative research and simulation-based evaluation to address the relevant challenges through progressive improvements at every process step of the end-to-end solution. The primary performance metrics included medical word error rate (WER) in machine-transcribed text output and an F1 score calculated by comparing the autogenerated documentation to manual documentation by physicians. Results The total number of 15,139 individual words necessary for completing the documentation were identified from all conversations that occurred during the physician-supervised simulation drills. The baseline model presented a suboptimal performance with a WER of 69.85% and an F1 score of 0.611. The noise-resilient ASR, multi-style training, and customized lexicon improved the overall performance; the finalized platform achieved a medical WER of 33.3% and an F1 score of 0.81 when compared to manual documentation. The speech enhancement degraded performance with medical WER increased from 33.3% to 46.33% and the corresponding F1 score decreased from 0.81 to 0.78. All changes in performance were statistically significant (P<.001). Conclusions This study presented a fully functional mobile platform for hands-free prehospitalization documentation in operational medical environments and lessons learned from its implementation.

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Template for documenting and reporting data in physician-staffed pre-hospital services: a consensus-based update

Cited by 9 publications

References 44 publications

Effect of time intervals in critical care provided by helicopter emergency medical services on 30-day survival after trauma

Effect of time intervals in critical care provided by helicopter emergency medical services on 30-day survival after trauma

Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses

Complete and Resilient Documentation for Operational Medical Environments Leveraging Mobile Hands-free Technology in a Systems Approach: Experimental Study

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