Combining survey data with alternative data sources (e.g., wearable technology, apps, physiological, ecological monitoring, genomic, neurocognitive assessments, brain imaging, and psychophysical data) to paint a complete biobehavioral picture of trauma patients comes with many complex system challenges and solutions. Starting in emergency departments and incorporating these diverse, broad, and separate data streams presents technical, operational, and logistical challenges but allows for a greater scientific understanding of the long-term effects of trauma. Our manuscript describes incorporating and prospectively linking these multi-dimensional big data elements into a clinical, observational study at US emergency departments with the goal to understand, prevent, and predict adverse posttraumatic neuropsychiatric sequelae (APNS) that affects over 40 million Americans annually. We outline key data-driven system challenges and solutions and investigate eligibility considerations, compliance, and response rate outcomes incorporating these diverse "big data" measures using integrated data-driven cross-discipline system architecture.
Connecting and linking neurocognitive, digital phenotyping, physiologic, psychophysical, neuroimaging, genomic, & sensor data with survey data
Knott, C. E., Gomori, S., Ngyuen, M., Pedrazzani, S., Sattaluri, S., Mierzwa, F., & Chantala, K. (2021). Connecting and linking neurocognitive, digital phenotyping, physiologic, psychophysical, neuroimaging, genomic, & sensor data with survey data. EPJ Data Science, 10(1), 9. [9]. https://doi.org/10.1140/epjds/s13688-021-00264-z
Abstract
Publications Info
To contact an RTI author, request a report, or for additional information about publications by our experts, send us your request.
Meet the Experts
View All ExpertsRecent Publications
OCCASIONAL PAPER
Bringing an equity-centered framework to research
OCCASIONAL PAPER
The Preschool Entitlement
OCCASIONAL PAPER
Culturally informed community engagement
Article