Brain Health and TBI Research

Resources for Investigators with a focus on TBI / brain health research

The QuesGen platform enables rapid solution development for a wide variety of Clinical Research Solutions. With a focus on TBI and Brain Health Research, QuesGen has worked with a significant number of Investigators studying Traumatic Brain Injury (TBI) and other neurological functions. Having developed a significant library of electronic Case Report Forms (eCRFs) and neurocognitive assessments, quick and seamless setup and deployment is possible.


Comprehensive TBI Data Structure

Most comprehensive acute injury data model including over 50 prebuilt eCRF’s and instruments.

FITBIR (Federal Interagency Traumatic Brain Injury Repository) Integration

If you receive NIH funding, you’ll likely need to submit data to FITBIR which can be quite difficult and time-consuming. With the QuesGen platform, FITBIR data sharing is included in the use of the platform saving you time and money.

Academic and Commercial Research

QuesGen has grown up in academia and has recently grown into more clinical research as well. QuesGen is currently being used in over 100 Hospitals around the world.



Redcap is a widely used tool that many investigators have run into challenges with when running studies involving complex data structures. If you’re in a position in which you’ve started your study using RedCap, we have a “RedCap loader” in which we can seamlessly move you over to the QuesGen platform.

TBI Research best practices for data management

For over 10 years, QuesGen has had a significant focus on Brain Health research but more specifically, TBI Research. We have supported some of the leading TBI research studies including but not limited to TRACK-TBI, The NCAA•DOD CARE Consortium, and CENTER-TBI.

    Prospective observational study in 18 level-one trauma centers across the US including over 3,000 participants.
  • Psyche Analytics
    An assessment of populations at-risk of mental health issues and evaluating treatments that can aid in overall optimal health management
    A study looking at automated methods of evaluating reviewer assessment and predicting an intracranial mass effect
    A study of stroke and decision-making around obtaining CT
  • NICoE Imaging Study
    A study of neuroimaging assessment and predicting the functional capabilities of complex mild traumatic brain injury
  • CARE
    A large-scale study of over 50,000 college athletes and service cadets tracking them through concussions and their return to exercise and competition
    80+ centers in 20 countries across Europe, Over 27,500 participants
  • CENTER-TBI – China
    52 centers in China, Over 13,000 participants
  • OZ Enter
    2 centers in Australia, 198 Participants
    2 centers in India, Over 4,900 Participants
    A 30-patient study of a treatment for Alzheimer’s Disease and Neurocognitive decline
What People Are Saying
The QuesGen database platform has been integral to allowing us to quickly and easily access data on our cohort of patients. Our goal in establishing the database was to better understand our patient population and to be able to have the ability for comparative analyses with like institutions. The ease of the platform and the support provided were added elements that have proven essential to its utility.

Odette Harris
MD, MPH, Stanford

As the largest single-site TBI study, we have unique data management requirements. QuesGen tailored their platform to successfully meet our needs. At the Minnesota State Fair, we were able to collect data on approximately 700 people from the general population in less than two weeks. This was in large part due to the efficient and intuitive setup with QuesGen.

Uzma Samadani
MD, PhD Associate Professor, Department of Neurosurgery – University of Minnesota

QuesGen personnel contributed substantially to the curation process. The QuesGen team provided experience and expertise that was invaluable to the CENTER-TBI team and the overall study.

Andrew Maas
Emeritus Professor of Neurosurgery at Antwerp University Hospital


Our complex study model required partnering with a company that could provide a data collection with a dedicated study-specific eCRF with stratum-specific workflows which QuesGen Systems was able to provide.

David Menon
MD, Ph.D, Professor of Anesthesia at the University of Cambridge