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Using Pediatric NEMSIS Data to Drive Quality Improvement
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Registration closed. Maximum capacity reached.
You can request to be put on a reserve list by submitting your information on our reserve request form.


Timeframe (dates):  2.5 day workshop
Tuesday, February 26, 2019 to Thursday, February 28, 2019

Workshop Cancellation Deadline:  1/5/2019

Registration Fee: $0.00


Hotel: The Bristol Hotel
1055 First Avenue
San Diego,  CA 92101
Hotel Website

Reservations: To Make Your Reservations Call: 619.232.6141

Reservations Code: NEDARC

Reservation Deadline: Saturday, January 05, 2019

Block Room Rate: $155.00/night
Registrants are responsible for reserving and making their own hotel room reservations. NEDARC cannot reserve hotel rooms for anyone.


  • Pet friendly
  • On site restaurant and lounge
  • Complimentary wireless Internet access throughout all areas of the hotel
  • 100% smoke free hotel
  • Complimentary lobby business station with printer

  • Other Lodging Information: The discounted NEDARC Block Room Rate is $155 a night for single and double occupancy. Hotel reservations not made before the deadline will cost $192+/night/person. Register Online Here.


    While EMS data has been collected for years, historically it has been done inconsistently between states with no assured uniformity in the elements collected. Thus, the ability to centralize and analyze EMS data beyond an agency or state level has been very limited. The NEMSIS project began in the early 2000’s to standardize the process for collecting EMS data and to encourage states to work on developing EMS data collection systems, with the goal of submission of a portion of the data to a national database. Much progress has been made over the last decade, and the current NEMSIS dataset contains nearly 11.2 million EMS patient care records being submitted by 31 states and US territories. With the transition from version 2 to version 3.x, there is now a national business rule, expanded details in data that is reported, and the web-based services allow to near real-time reporting. In support of the NEMSIS version transition and better quality data, the EMS for Children’s performance measure 01 encourages the submission of NEMSIS compliant version 3.x data. The opportunity exists to use this data to better understand EMS care for children, including comparisons to the adult population.


    What type of injuries or illnesses are kids most frequently treated for by EMS across the country? How does your state fare regarding pediatric pain management, pain scale evaluation and medication administration? These are only a few of the questions that could be answered using the national EMS database. With the update to NEMSIS version 3.x, managers will be able to access more detailed data elements compliant with International Statistical Classification of Diseases (ICD) 10 codes. This will be a hands-on workshop where participants will use the existing reporting features of the NEMSIS website to answer a variety of questions about emergency care for children across the United States.

    Learning Objectives:

    1. Learn about the NEMSIS project, the data elements, and how they relate to specific EMSC program activities
    2. Explore query tools on the NEMSIS website and export data to develop reports
    3. Become familiar with strategies to partner with state data managers for Quality Assurance and Improvement efforts in order to perform state-level analysis using NEMSIS data
    4. Brainstorm possible EMS data related QI projects

    Target Audience:

    EMSC Program Managers and newer data managers. Preference will be given to EMSC Program Managers.

    Please note that if you want to attend a workshop, you need to officially register for it.

    Required Equipment/Software:

    Participants will need to bring a laptop with a power cord and an external mouse. The laptop must have an Internet browser (e.g. Internet Explorer) and be capable of connecting to the Internet via Wi-Fi. Participants are encouraged to have Microsoft Excel for exploring your report data.




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