Technology can provide solutions to challenges in measuring many types of data that have historically been difficult to measure. New methods of measurement can be done unobtrusively, continuously, and remotely, avoiding the challenges introduced in lab or clinic-based tests. Below are some examples of instruments that we can incorporate into research to make potentially clinically-relevant measurements or inferences:
- Motion sensors ⇒ gait speed
- Computer games ⇒ cognitive health
- Mobile phones ⇒ emotion, affect
- Fitness wristbands ⇒ heart rate, electrodermal activity (stress)
- Bed sensors ⇒ sleep quality, stress recovery
- Contact switches + email/phone analytics ⇒ socialization, activities of daily living
When considering a new method of measurement for your research study, a consultation with a member of the Technology and Analysis Core is recommended.
Literature and other resources
CDC Community Health Assessment for Population Health Improvement: Resource of Most Frequently Recommended Health Outcomes and Determinants
Common Data Elements for NUCare Pilot Projects. The NUCare Pilot Projects incorporate several measures that are shared across many NINR Centers, which are described in this document. To learn more about other P20 and P30 NINR Centers of Excellence, click here.