Brain Health/TBI

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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.

From its medieval origins to the digital era, learn everything there is to know about the ubiquitous…..

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 Hospital EDs around the world.

RedCap

Redcap is a wonderful tool but many investigators have run into challenges with 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 the past 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.

TRACK-TBI, 18 level-one trauma centers across the US. 3,000 participants. Prospective observational study

Psyche Analytics – an assessment of populations at-risk of mental health issues and evaluating treatments that can aid in overall optimal health management

DICTA – a study looking at automated methods of evaluating reviewer assessment and predicting an intracranial mass effect

DOERS – 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 40,000 college athletes and service cadets tracking them through concussions and their return to exercise and competition

CENTER-TBI, 40+ centers in 20 countries across Europe, 6,000 participants

CENTER-TBI, China

OZ-ENTER

CINTER-TBI, 15 centers across India

RECODE, A 30-patient study of a treatment for Alzheimer’s Disease and Neurocognitive decline

CNS Response – a study of imaging assessment to determine optimal depression treatment

Testimonial 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

“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

“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

“Our complex study model required partnering whit a company that could provide a data collection with a dedicated study-specific e0CRF with stratum-specific workflows which QuesGen Systems was able to provide.”

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