Mungmode, A, Wirsch, A, Dawson, J, Accacha, S, Basina, M, Cossen, K, Haw, J, Herrick, C, Mann, E, Miyazaki, B, Prahalad, P, Ebekozien, O

Introduction: Collecting quality diabetes data can be burdensome and difficult. Benchmarking across multiple hospital systems is challenging due to unstandardized data collection and interoperability issues in electronic health records. T1D Exchange Quality Improvement Collaborative centers complete a comprehensive data mapping process for quality improvement and population health analysis. Between 2018 and 2020, this process took 20 months on average. This study summarizes results to expedite the T1DX-QI data mapping process.

Method: In 2021, the T1D Exchange implemented strategies to decrease mapping completion time: expanding data integration capacity with staff resources and cross-training, offering project management services (i.e., recurring project meetings and milestones tracking) and resources (i.e., electronic medical record templates and examples, step-by-step guides). Data is compared by centers that initiated mapping between 2018-2020 (pre; N=17) and 2021-2023 (post; N=13) overall, by center size, and population served.

Results: The average time to complete data mapping decreased from 20 to 13 months from pre- to post-implementation. There was also a reduction in variation between the two time periods (from 62 to 22 months, Figure 1).

Conclusion: This study highlights the ability to expedite the collection of quality diabetes data by supporting centers to improve patient care and process improvement.