Assessments and Outcomes

Clinical Outcome Assessments (COAs) defined as measuring a patient’s symptoms, overall mental state, or the effects of a disease or condition on how the patient functions. All research requires the choice of assessments to be used within research. With QuesGen’s experience and knowledge of assessments, we can help determine the best assessments to use. Those assessments can easily be included in the QuesGen platform for immediate use.

QuesGen’s Assessment portal makes research easier

Outcomes and Assessments are critical in the world of research. Over the last 15 years, QuesGen has accumulated a comprehensive library of off the shelf validated assessments for neuro-behavioral measurements.  The outcomes range from various cognitive, emotional, sensory, motor function to name a few.

QuesGen easily integrates with the following:

NIH Toolbox





Clinical Data Management

The QuesGen platform assures for high-quality and reliable collection, integration and availability of study data. Build and set up your study quickly and effortlessly with our easy to use flexible and adaptable data collection tool. QuesGen is designed for users (programming not necessary) to rapidly build a database to include eCRFs and simple study logic including rules like edit checks and skip logic.

What People Are Saying

“Our use of QuesGen has been very positive. Set-up was intuitive, prompt, and required minimal training. The QuesGen client services team is very responsive and easy to work with. They are very good at understanding the needs of the users and executing. We feel the biggest differentiators between QuesGen and the other platforms we considered is the users’ ability to get data out immediately in different formats, front-end query capabilities, and experience interfacing with other platforms.”  Margaret Mahan

Neurosurgery Scientist, HCMC, Extra Space

“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