Use of Radio Frequency Identification to Establish Emergency Medical Service Offload Times. (3rd March 2016)
- Record Type:
- Journal Article
- Title:
- Use of Radio Frequency Identification to Establish Emergency Medical Service Offload Times. (3rd March 2016)
- Main Title:
- Use of Radio Frequency Identification to Establish Emergency Medical Service Offload Times
- Authors:
- Steer, Sheila
Bhalla, Mary C.
Zalewski, Jon
Frey, Jennifer
Nguyen, Victor
Mencl, Francis - Abstract:
- Abstract: Emergency medical services (EMS) crews often wait for emergency department (ED) beds to become available to offload their patients. Presently there is no national benchmark for EMS turnaround or offload times, or method for objectively and reliably measuring this. This study introduces a novel method for monitoring offload times and identifying variance. We performed a descriptive, observational study in a large urban community teaching hospital. We affixed radio frequency identification (RFID) tags (Confidex Survivor™, Confidex, Inc., Glen Ellyn, IL) to 65 cots from 19 different EMS agencies and placed a reader (CaptureTech Weatherproof RFID Interpreter, Barcoding Inc., Baltimore, Maryland) in the ED ambulance entrance, allowing for passive recording of traffic. We recorded data for 16 weeks starting December 2009. Offload times were calculated for each visit and analyzed using STATA to show variations in individual and cumulative offload times based on the time of day and day of the week. Results are presented as median times, confidence intervals (CIs), and interquartile ranges (IQRs). We collected data on 2, 512 visits. Five hundred and ninety-two were excluded because of incomplete data, leaving 1, 920 (76%) complete visits. Average offload time was 13.2 minutes. Median time was 10.7 minutes (IQR 8.1 minutes to 15.4 minutes). A total of 43% of the patients (833/1, 920, 95% CI 0.41–0.46) were offloaded in less than 10 minutes, while 27% (513/1, 920, 95% CIAbstract: Emergency medical services (EMS) crews often wait for emergency department (ED) beds to become available to offload their patients. Presently there is no national benchmark for EMS turnaround or offload times, or method for objectively and reliably measuring this. This study introduces a novel method for monitoring offload times and identifying variance. We performed a descriptive, observational study in a large urban community teaching hospital. We affixed radio frequency identification (RFID) tags (Confidex Survivor™, Confidex, Inc., Glen Ellyn, IL) to 65 cots from 19 different EMS agencies and placed a reader (CaptureTech Weatherproof RFID Interpreter, Barcoding Inc., Baltimore, Maryland) in the ED ambulance entrance, allowing for passive recording of traffic. We recorded data for 16 weeks starting December 2009. Offload times were calculated for each visit and analyzed using STATA to show variations in individual and cumulative offload times based on the time of day and day of the week. Results are presented as median times, confidence intervals (CIs), and interquartile ranges (IQRs). We collected data on 2, 512 visits. Five hundred and ninety-two were excluded because of incomplete data, leaving 1, 920 (76%) complete visits. Average offload time was 13.2 minutes. Median time was 10.7 minutes (IQR 8.1 minutes to 15.4 minutes). A total of 43% of the patients (833/1, 920, 95% CI 0.41–0.46) were offloaded in less than 10 minutes, while 27% (513/1, 920, 95% CI 0.25–0.29) took greater than 15 minutes. Median times were longest on Mondays (11.5 minutes) and shortest on Wednesdays (10.3 minutes). Longest daily median offload time occurred between 1600 and 1700 (13.5 minutes), whereas the shortest median time was between 0800 and 0900 (9.3 minutes). Cumulative time spent waiting beyond 15 minutes totaled 72.5 hours over the study period. RFID monitoring is a simple and effective means of monitoring EMS traffic and wait times. At our institution, most squads are able to offload their patients within 15 minutes, with many in less than 10 minutes. Variations in wait times are seen and are a topic for future study. … (more)
- Is Part Of:
- Prehospital emergency care. Volume 20:Number 2(2016)
- Journal:
- Prehospital emergency care
- Issue:
- Volume 20:Number 2(2016)
- Issue Display:
- Volume 20, Issue 2 (2016)
- Year:
- 2016
- Volume:
- 20
- Issue:
- 2
- Issue Sort Value:
- 2016-0020-0002-0000
- Page Start:
- 254
- Page End:
- 259
- Publication Date:
- 2016-03-03
- Subjects:
- Key words: -- offload time; radio frequency; EMS
362.18 - Journal URLs:
- http://informahealthcare.com/loi/pec ↗
http://informahealthcare.com ↗ - DOI:
- 10.3109/10903127.2015.1076093 ↗
- Languages:
- English
- ISSNs:
- 1090-3127
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6605.917000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 422.xml