Hostname: page-component-7b7567c8c-lpg2g Total loading time: 0 Render date: 2026-11-15T09:48:18.924Z Has data issue: false hasContentIssue false

462 Avoiding dash-boredom with a Translational Science Dashboard

Published online by Cambridge University Press:  08 May 2026

Maureen Brudzinski
Affiliation:
MICHR
Sarah Miles
Affiliation:
MICHR
Beth LaPensee
Affiliation:
MICHR
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

Objectives/Goals: The Michigan Institute for Clinical & Health Research (MICHR) needs to maintain a balanced portfolio of initiatives with respect to the extent of innovation sought and the stage of implementation. We created a Translational Science (TS) Dashboard to visualize this balance of intent and execution. Methods/Study Population: In designing the dashboard, we considered innovation along a spectrum: making incremental changes to our current offerings; seeking out new offerings or audiences; and seeking both new offerings and new audiences. We also used MICHR’s TS Framework that guides both the identification of roadblocks along the translational spectrum and the development of potential solutions to those roadblocks. Categories in the TS Framework help us understand if innovation efforts are in the early stages of problem framing or later stages of testing, iterating, and/or disseminating. Using co-creation methods, we partnered with various MICHR program teams, whose initiatives represent a mix of innovation categories as well as framework implementation phases, to optimize the design and understand the utility of the dashboard. Results/Anticipated Results: We worked with various programmatic teams at MICHR to help them understand the elements of the dashboard and to co-create the dashboard interface. Our methods also helped teams understand the “right” amount of innovation for their programs, ensuring they considered both differentiation and resource constraints as well as alignment with MICHR’s overarching strategic goals. Programs had different resource considerations, tolerance for risk, and unmet customer needs that informed how to right-size their innovation portfolio and where efforts should map along the stages of roadblock identification and solution crafting. The perspectives and insights of MICHR’s executive leadership were key to informing how the dashboard could support data-informed decisions at the institute level. Discussion/Significance of Impact: The TS Dashboard can help both MICHR program and institute leaders understand how projects map along different phases of discovery, implementation, and innovation, ensuring that the portfolio of activities is appropriately balanced.

Information

Type
Research management, operations, and administration
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2026. The Association for Clinical and Translational Science