Objectives/Goals: The goal of this project was to, first, identify potential improvements to administrators’ processes surrounding the maintenance and export of a digital research platform using human-centered design and, second, explore whether this approach could be integrated into a system evaluation of implementation and impact of the platform. Methods/Study Population: In alignment with the A3 template for quality improvement, MICHR staff prepared to conduct a systems evaluation of MICHR’s support and dissemination of Your Health Research (YHR), a digital platform for study participant recruitment by (1) identifying the background of programmatic and scientific opportunities being addressed, (2) assessing the current state of MICHR’s management of YHR, and (3) identifying S.M.A.R.T. goals for improvement, as well (4) the drivers of improvement. The iterative nature of the work that was undertaken aligns with the intent of A3 framework which presents these 4 steps as an iterative process. These iterative efforts included a tabletop exercise, a blueprinting workshop, and a survey of MICHR program staff about potential improvements. Results/Anticipated Results: YHR is designed to facilitate recruitment into clinical and translational research studies; the findings presented here show that it is feasible to evaluate the way MICHR deploys this tool for increasing effect. The use of Systems Evaluation Theory was not only appropriate (Renger, et al, 2025), this work shows how human-centered design approaches can be integrated into systems evaluations to facilitate the identification and continuous improvements to those systems (Melles, et al., 2021; Holman, et al, 2019; Meyer, et al, 2022). This work shows how clinical and translational science organizations like MICHR can contribute to the emergence of learning health systems by evaluating the infrastructure of academic medical centers designed to facilitate participant recruitment into research (Lopez et al., 2025). Discussion/Significance of Impact: This study responds to an enduring need for more research into the ways research institutions like MICHR can increasingly provide investigators with better infrastructure and tools, such as access to population-based data for real-time adjustments to their clinical and translational research studies.
Champagne et al. (Wed,) studied this question.
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