Chaos in command
Trauma leaders are poised for transformation as factors challenging data integrity mount in the most urgent environments.
A Difficult Standard
Standardization is not frequently found within trauma data programs. While verification is a voluntary and standardized process, center designations are inconsistent across states which creates inequity from one Level III trauma center data set to another. Add to this issue, the fact that trauma data management is predominantly a manual process.
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American Trauma Society Trauma Registry
Level I, II, III, IV
Case Study: Grady Health System Record Closure
Record Closure Rate Did Not Meet the ACS Standard
- 955 of the 1,653 records abstracted in-house were completed within 60 days of patient discharge, yielding a concurrency rate of 58% (Figure 1)
- Concurrency rate fell short of the 80% required by the ACS to define the registry as “concurrent”
- Utilizing a partner: 1,522 of the 1,592 records were completed within 60 days of patient discharge, yielding a concurrency rate of 95%
- Concurrency rate improved to 94% within the first month of record the project and ranged from 93-100% for the remainder of the analysis period
- Exceeded the 80% required by the ACS to be considered a “concurrent registry
Added Risk to Data integrity
In light of the lack of automation in trauma program technology, certified trauma registrars (CTRs) are required to do more. It’s no coincidence that turnover in CTRs is common. Thirty-five percent of trauma program leaders reported issues with retention of staff. As a result, requirements for the role are waning. In a recent survey, one-third of trauma program leaders required a high school diploma for their CTRs, most offered educational benefits to allow them to obtain their CTR.
How we work
Q-Centrix offers a comprehensive approach to trauma Level I, II, III, and IV data management including a team of expert CTRs and industry-leading quality assurance protocols that ensure meaningful, high-fidelity, complete and secure data for data-driven care decisions.
Data is input into the EHR
Experts analyze the data for accuracy
Exceptions are reported on our dashboard
Experts analyze the reports to identify insights for process improvement