The Precise Center

Discovery: Building Tools with and for the Cerebral Palsy Community

Precise Center's researchers work alongside children and adults with CP, caregivers, and clinicians to answer two questions:

1. What do people want to know to set yearly goals for rehabilitation for children with CP?
2. How can we better measure that?

The Precise Center team will gather input from the CP community, their families, and care teams to understand their priorities: what goals matter most, what barriers get in the way, and which existing tools already address those needs. Then the team will create a toolkit to help children, families, and clinicians work together to set goals.

An accessible motion analysis tool is one example of the kinds of things the team will work with community members to co-create. This tool uses smartphone video and computer analysis to easily measure your motion anytime and anywhere. It will help individuals and families track movement in ways that matter to them and also give clinicians and researchers better information to support personalized care. By relying on smartphones, which most people have, it also lowers barriers to accessing care.

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Implementation: Understanding Recovery Patterns in Adolescents After Concussion

Concussion recovery isn't one-size-fits-all, yet current guidelines often treat it that way, with blanket recommendations that don't account for the differences in how people heal. This project uses wearable devices (like Fitbit) to track activity and heart rate, alongside clinical information, to understand the different patterns in how adolescents' bodies respond during recovery.

By identifying these patterns, we aim to move beyond rigid protocols toward physical activity guidance that's responsive to each person's recovery process. This information can help clinicians make more informed recommendations, support adolescents and families in making choices about activity, and ultimately offer safer, more individualized paths back to the activities that matter to them.

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Integration: Identify subgroups of patients based on indicators of rehabilitation readiness and trajectories of motor recovery and determine the influence of rehabilitation received on motor recovery in adults with stroke.

We will use mixture modeling on comprehensive data in the EHR to identify patient subgroups of rehabilitation readiness at acute hospital discharge and of motor recovery during outpatient rehabilitation. We will then elucidate how the rehabilitation received moderates the transition from rehabilitation readiness to recovery trajectories. Finally, we will explore how clinician engagement with data presented in the EHR informs clinical care.

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