Leads the identification, development, and evaluation of measures, including implementation of the OMNI ADRD Measures Evaluation Framework.
Core Lead:
Marty Sliwinski, Ph.D.
Purpose
Leads development and refinement of the OMNI ADRD Measures Evaluation Framework for assessing tools across contexts and purposes.
Outputs
A structured framework with clear criteria, scoring rubrics, and guidance for application across measurement domains.
Why this matters
There is no consistent standard for evaluating many emerging digital measures. This framework provides a transparent and systematic approach to guide selection and use.
WG Lead: Louisa Thompson, PhD
John Felt, PhD
Jee-Eun Kang, PhD
Riki Slayday
Timothy Brearly, PsyD
Jessie Alwerdt, PhD
Ashley Tate, PhD
Elizabeth Muñoz, PhD
Molly Lawrence
Niliette Bravo
Purpose
Evaluates wearable, mobile, and sensor-based approaches for continuous measurement of behavior and function.
Outputs
Catalog of passive monitoring tools and guidance on their appropriate use in prevention research.
Why this matters
Passive data streams offer scalable, low-burden ways to track change, but their validity and interpretation are not always clear. This work helps define when and how these tools should be used.
WG Lead: Ganesh Babulal, PhD, OTD
Purpose
Evaluates self-reported cognitive measures, including global measures, daily reports, and EMA-based approaches.
Outputs
Catalog of subjective measures and guidance on their appropriate use for risk assessment and monitoring.
Why this matters
Subjective experience often changes before objective performance. Understanding how to measure and interpret these reports improves early detection and monitoring.
WG Lead: Laura Rabin, PhD
Andrew Saykin, PsyD
Rebecca Amariglio, PhD
David Almeida, PhD
Purpose
Evaluates sensory, motor, and functional performance measures for AD/ADRD prevention research.
Outputs
Catalog of sensory and motor measures and guidance on applying the OMNI ADRD Measures Evaluation Framework to these types of measures.
Why this matters
Sensory and motor changes often precede cognitive decline and are valuable early indicators for prevention research. Consistent evaluation standards ensure measures can be compared across studies.
WG Lead: Aaron Seitz, PhD
Ganesh Babulal, PhD, OTD
Nelson Roque, PhD
