Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: Feb 15, 2022
Open Peer Review Period: Feb 15, 2022 - Apr 12, 2022
Date Accepted: Jun 20, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis

Fukaguchi K, Goto T, Yamamoto T, Yamagami H

Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis

JMIR Form Res 2022;6(7):e37301

DOI: 10.2196/37301

PMID: 35793142

PMCID: 9301553

Experimental implementation of NEXT Stage ER mobile application for efficient real-time sharing of prehospital patient information with emergency departments: an interrupted time-series analysis.

  • Kiyomitsu Fukaguchi; 
  • Tadahiro Goto; 
  • Tadatsugu Yamamoto; 
  • Hiroshi Yamagami

ABSTRACT

Background:

With the aging society, the number of emergency transportation has been growing. Although it is important that a patient be immediately transported to an appropriate hospital for proper management, accurate diagnosis in the prehospital setting is challenging. However, at present, patient information is mainly communicated by telephone, which has a potential risk of communication errors such as mishearing. Sharing correct and detailed prehospital information with emergency departments (EDs) should facilitate optimal patient care and resource utilization. Therefore, the implementation of an application that provides on-site, real-time information to emergency physicians could be useful for early preparation, intervention, and effective use of medical and human resources.

Objective:

We aimed to examine whether the implementation of a mobile application for emergency medical service (EMS) reduced phone-communication time, which was the time for EMS to negotiate with ED staffs for transport requests.

Methods:

We performed an interrupted time-series analysis (ITSA) on the data from a tertiary care hospital in Japan from July 2021 to October 2021 (8 weeks pre-implementation period and 8 weeks post-implementation period). We included all patients transported by EMS. Using the mobile application, EMS can send information on patient demographics, vital signs, medications, and photos of the scene to the ED. The outcome measure was the phone communication time.

Results:

During the study period, 1966 emergency transportations were made (1033 patients during pre-implementation period, and 933 patients during implemented period). The ITSA revealed a significant decrease in mean phone-communication time between pre- and post-implementation periods (from 216 to 171 seconds; −45 seconds; 95% CI, −71 to −18 seconds). From the pre- to post-implementation period, the mean transportation time from EMS request to ED arrival decreased by 0.29 minutes (from 36.1 minutes to 35.9 minutes; 95% CI, −2.20 to 1.60 minutes), without change in time-trends. We also introduced cases where the application allowed EMS to share accurate and detailed prehospital information with the emergency department, resulting in timely intervention and reducing the burden on the ED.

Conclusions:

The implementation of a mobile application for EMS was associated with reduced phone-communication time by −45 seconds (22%) without extending overall transportation time despite the implementation of new methods in the real clinical setting. In addition, real-time patient information sharing, such as the transfer of monitor images and photos of the accident site, could facilitate optimal patient care and resource utilization. Clinical Trial: none


 Citation

Please cite as:

Fukaguchi K, Goto T, Yamamoto T, Yamagami H

Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis

JMIR Form Res 2022;6(7):e37301

DOI: 10.2196/37301

PMID: 35793142

PMCID: 9301553

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.