A Prehospital Database System for Emergency Medical Services

2009 ◽  
pp. 1344-1356
Author(s):  
Nada Hashmi ◽  
Mark Gaynor ◽  
Marissa Pepe ◽  
Matt Welsh ◽  
William W. Tollefsen ◽  
...  

Emergency Medical Services (EMS) are not only responsible for providing prompt and efficient medical care to many different types emergencies, but also for fully documenting each and every event. Unfortunately, the vast majority of EMS events are still documented by hand. The documents are then further processed and entered manually into various billing, research, and other databases. Hence, such a process is expensive, labor intensive, and error prone. There is a dire need for more research in this area and for faster, efficient solutions. We present a solution for this problem: Prehospital Patient Care Record (PCR) for emergency medical field usage with a system called iRevive that functions as a mobile database application. iRevive is a mobile database application that is designed to facilitate the collection and management of prehospital data. It allows point-of-care data capture in an electronic format and is equipped with individual patient sensors to automatically capture vital sign data. Patient information from the field is wirelessly transmitted to a back-end server, which uses Web service standards to promote interoperability with disparate hospital information systems, various billing agencies, and a wide variety of research applications. In this chapter, we describe the current state of EMS, the iRevive application, a mini-trial deploying iRevive in real scenarios, the results, and a future direction for our solution.

2011 ◽  
pp. 2443-2454
Author(s):  
Nada Hashmi ◽  
Mark Gaynor ◽  
Marissa Pepe ◽  
Matt Welsh ◽  
William W. Tollefsen ◽  
...  

Emergency Medical Services (EMS) are not only responsible for providing prompt and efficient medical care to many different types emergencies, but also for fully documenting each and every event. Unfortunately, the vast majority of EMS events are still documented by hand. The documents are then further processed and entered manually into various billing, research, and other databases. Hence, such a process is expensive, labor intensive, and error prone. There is a dire need for more research in this area and for faster, efficient solutions. We present a solution for this problem: Prehospital Patient Care Record (PCR) for emergency medical field usage with a system called iRevive that functions as a mobile database application. iRevive is a mobile database application that is designed to facilitate the collection and management of prehospital data. It allows point-of-care data capture in an electronic format and is equipped with individual patient sensors to automatically capture vital sign data. Patient information from the field is wirelessly transmitted to a back-end server, which uses Web service standards to promote interoperability with disparate hospital information systems, various billing agencies, and a wide variety of research applications. In this chapter, we describe the current state of EMS, the iRevive application, a mini-trial deploying iRevive in real scenarios, the results, and a future direction for our solution.


2011 ◽  
pp. 205-219
Author(s):  
Nada Hashmi ◽  
Mark Gaynor ◽  
Marissa Pepe ◽  
Matt Welsh ◽  
William W. Tollefsen ◽  
...  

Emergency Medical Services (EMS) are not only responsible for providing prompt and efficient medical care to many different types emergencies, but also for fully documenting each and every event. Unfortunately, the vast majority of EMS events are still documented by hand. The documents are then further processed and entered manually into various billing, research, and other databases. Hence, such a process is expensive, labor intensive, and error prone. There is a dire need for more research in this area and for faster, efficient solutions. We present a solution for this problem: Prehospital Patient Care Record (PCR) for emergency medical field usage with a system called iRevive that functions as a mobile database application. iRevive is a mobile database applicationthat is designed to facilitate the collection and management of prehospital data. It allows point-of-care data capture in an electronic format and is equipped with individual patient sensors to automatically capture vital sign data. Patient information from the field is wirelessly transmitted to a back-end server, which uses Web service standards to promote interoperability with disparate hospital information systems, various billing agencies, and a wide variety of research applications. In this chapter, we describe the current state of EMS, the iRevive application, a mini-trial deploying iRevive in real scenarios, the results, and a future direction for our solution.


Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Melissa Richardson ◽  
Christopher Rankin

Background: In the advent of electronic medical records (EMR), emergency departments (ED) are challenged to include communication with inbound Emergency Medical Services (EMS) within the medical record. Using standardized documentation to guide and capture this critical communication may impact early activation of the stroke team and improve ‘Door to CT’ times. Starting with the “Pre-Notification” measure in Get With the Guidelines (GWTG), our team set out to improve this measure, then evaluate its impact on early stroke team activation and imaging timelines. Purpose: To utilize a standardized template in the EMR to improve the GWTG Pre-Notification measure by 30% and evaluate its impact on early stroke team activation and imaging. Methods: Initially, the team agreed that clear criteria for stroke team activation were needed. Once established, a standardized template was designed within the EMR. This included point of care glucose, neurological symptoms, cardiac rhythm, time ‘last known well’, and establishment of IV access/labs drawn. The communication nurses, designated to receive incoming EMS calls, were instructed on the use of this standardized template to guide and record communication for incoming stroke patients. Education and feedback were also provided to EMS providers so that they could anticipate required information and ensure that appropriate care occurred in the pre-hospital setting. Results: The “Pre-Notification Measure” improved from 29%-77%, early stroke team activation improved from 45% - 73%, and median ‘Door to CT’ time improved from 25 minutes - 18 minutes. (Figure). Conclusions: Using a standardized template in the EMR improves expectations of care for the ED and EMS providers. This translates into better scores for the GWTG “Pre-Notification” measure, as well early stroke team activation and imaging timelines.


2015 ◽  
Vol 16 (4) ◽  
pp. 503-509 ◽  
Author(s):  
Sundeep Bhat ◽  
David Johnson ◽  
Jessica Pierog ◽  
Brita Zaia ◽  
Sarah Williams ◽  
...  

2020 ◽  
Vol 144 (11) ◽  
pp. 1352-1371
Author(s):  
Anna K. Füzéry ◽  
Gerald J. Kost

Context.— Emergency medical services (EMS) programs have been using point-of-care testing (POCT) for more than 20 years. However, only a handful of reports have been published in all of that time on POCT practices in field settings. Objective.— To provide an overview of POCT practices and failure modes in 3 of Alberta's EMS programs, and to propose risk-mitigation strategies for reducing or eliminating these failure modes. Design.— Details about POCT practices, failure modes, and risk-mitigation strategies were gathered through (1) conversations with personnel, (2) in-person tours of EMS bases, (3) accompaniment of EMS personnel on missions, (4) internet searches for publicly available information, and (5) a review of laboratory documents. Results.— Practices were most standardized and robust in the community paramedicine program (single service provider, full laboratory oversight), and least standardized and robust in the air ambulance program (4 service providers, limited laboratory oversight). Common failure modes across all 3 programs included device inoperability due to cold weather, analytical validation procedures that failed to consider the unique challenges of EMS settings, and a lack of real-time electronic transmission of results into the health care record. Conclusions.— A provincial framework for POCT in EMS programs is desirable. Such a framework should include appropriate funding models, laboratory oversight of POCT, and relevant expertise on POCT in EMS settings. The framework should also incorporate specific guidance on quality standards that are needed to address the unique challenges of performing POCT in field settings.


Author(s):  
Edward Griffiths

Abstract Background Auscultating for breath sounds to assess for pneumothorax in the helicopter emergency medical services (HEMS) settings can be extremely challenging. Thoracic point of care ultrasound (POCUS) offers a seemingly more useful visual (rather than audible) alternative. This review critically and quantitatively evaluates the use of thoracic POCUS for pneumothorax in the HEMS setting. Methods A systematic literature review with meta-analysis was conducted. Only papers reporting on patients undergoing POCUS for pneumothorax in the helicopter or pre-hospital setting were included. Primary outcome was accuracy, focusing on sensitivity and specificity. Secondary outcome was practicality. PubMed, Embase and the Cochrane Library were searched. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) was used to assess validity of studies. Results Twelve studies reporting on n = 1,936 images from medical and trauma patients were included in qualitative synthesis. Studies were nearly all observational designs. Most images were acquired by nurses or paramedics who were previously novices to ultrasound. The reference standard was predominantly CT. Specificity results were unanimously precise and very high, whereas sensitivity results were imprecise and extremely variable. Meta-analysis of eight studies involving n = 1,713 images yielded pooled sensitivity 61% (95% CI: 27–87%; I2 = 94%) and pooled specificity 99% (95% CI: 98–100%; I2 = 89%). Six studies involving n = 315 images reported practicality. The highest or second highest categorisation of image quality was reported in around half of those images. Conclusion Thoracic POCUS is highly specific but has extremely variable sensitivity for pneumothorax when performed in the HEMS setting. This is from purely a diagnostic (not clinical) perspective. Sensitivity increases when only clinically significant pneumothoraces are considered. Case reports reveal thoracic POCUS can appropriately alter treatment and triage decisions, but only for a small number of patients. It appears predominantly useful in mitigating against unnecessary interventions. More research reporting patient focused outcomes is required. In the meantime, thoracic POCUS appears to offer a more appropriate visual alternative to auscultation for breath sounds when assessing for pneumothorax in the HEMS setting.


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