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EMS QA/QI and Record Accuracy Guide

Every EMS quality program must compare documented care with what happened on the call. This guide explains how EMS QA and QI programs can improve record accuracy using non-punitive review, measurable indicators, structured documentation aids, and objective source evidence.

EMS QA measures whether care and documentation meet defined requirements. EMS QI uses those findings to change the system and measure the result. Protocol-graded QA adds source-linked review against the agency’s protocol.

VeriMedic makes CaseSync, an EMS-specific body-camera and software platform. CaseSync synchronizes body-camera video, cardiac monitor data, and CAD onto one timeline, drafts supported NEMSIS fields, and pushes them into the agency’s existing ePCR for paramedic confirmation. CaseSync does not replace the ePCR or the agency’s QA program. See the EMS body-camera documentation workflow, the NEMSIS data standards and fields guide, and the CaseSync workflow from capture through protocol review.

First, separate QA from QI

These terms get used interchangeably, and that confusion stalls programs. Per the EMS Quality Improvement Programs review in StatPearls:

  • Quality assurance (QA) is about compliance — did the crew follow the protocol, process, or policy, and document it.
  • Quality improvement (QI) is the intentional, continuous process of making system-level changes and re-measuring to improve care.

QA is a snapshot; QI is the engine. The most important finding in that literature: QI works best in a non-punitive, transparent environment. If record review feels like a hunt for someone to discipline, your data quality gets worse, not better, because crews record defensively.

The accuracy problem, in numbers

The reason record review matters is that prehospital documentation drifts from reality more than most leaders assume:

  • A study of 100 consecutive prehospital rapid-sequence intubations compared the written PCR to the video record. Only 6% of records matched the video on every quality measure. The largest discrepancies were time-to-intubate (58%), number of attempts (36%), and first-pass success (24%).
  • A German EMS simulation study found 39–42% of the actions crews performed were documented incompletely or incorrectly.
  • A pilot study concluded that “current EMS documentation practices demonstrate significant inaccuracy regardless of years of experience” — and that body-worn cameras significantly improved accuracy.

This is not a competence problem. It is a memory-under-stress problem, and seniority does not fix it. Inadequate documentation is not just a paperwork issue, either — it has been associated with increased in-hospital morbidity and mortality.

A four-part playbook

1. Run real PDSA cycles

Most effective EMS QI programs use the Plan-Do-Study-Act cycle from the Institute for Healthcare Improvement. Pick one specific, patient-centric aim (“aspirin documented in 95% of suspected ACS patients”), change one thing, measure, and iterate. Include field crews in the cycle — not just the medical director’s office.

2. Define KPIs you can actually measure

Build key performance indicators on clinical evidence, a known system deficit, or an operational need. Make them specific and numeric. A 2015 national survey found 71% of EMS agencies report dedicated QI personnel — but a person without clear KPIs just generates opinions.

3. Use structured documentation aids

Checklists and structured templates work. A collegiate EMS agency that revised its documentation checklists measurably improved the inclusion of key documentation criteria on ePCRs. Tie your templates to the NEMSIS elements that matter for your call types so completeness and compliance move together.

4. Review against ground truth, not the narrative

This is the highest-leverage change. If your QA reviews grade the record against itself — or against the crew’s recollection — you can only catch internal inconsistencies. When you grade against objective ground truth (cardiac-monitor data, CAD timestamps, and body-camera footage), you see what actually happened. That is the difference between auditing the record and auditing the call.

From sampled review to source-linked review

Traditional QA often reviews a sample of calls because manual review requires time from clinical leaders. Source-linked review gives those reviewers a direct path from a protocol question to the relevant body-camera, monitor, and CAD evidence.

That is the model CaseSync is built on. CaseSync reconciles body-camera video, monitor data, and CAD onto one synchronized timeline, drafts supported NEMSIS fields into your existing ePCR for paramedic confirmation, and lets authorized reviewers assess calls against that source evidence. It does not replace your QA program. It changes what the QA is built on: the call, not only the record written afterward.

Frequently asked questions

What’s the difference between QA and QI? QA measures protocol/process/policy compliance; QI is the continuous, non-punitive process of changing the system and re-measuring.

How accurate is EMS documentation? Often poor against an objective record — one RSI study found only 6% of records matched the video on every measure.

How do we improve record accuracy? Non-punitive QI culture, clear KPIs, structured checklists, and review against ground truth rather than recollection.

Sources

See how CaseSync fills the record from the call.

VeriMedic CaseSync reconciles body-camera video, monitor data, and CAD onto one timeline, then pushes pre-filled NEMSIS fields into your existing ePCR — so your crews confirm instead of retype.

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