PARKINSON’S DISEASE

1 Million Americans are Living with Parkinson’s Disease.

Qdata® Can Help Improve Treatment Choices for Them.

Qdata Parkinson’s Disease is an exclusive, real-world dataset of more than 42,000 patients. Gain access to curated variables from EHR clinical notes such as tremor, bradykinesia, rigidity, motor complications of dopaminergic therapy and more to offer a detailed view into the patient journey.

About Qdata

Qdata® by Verana Health are research ready, fit-for-purpose data modules designed to confidently drive business insights and inform research outcomes. Qdata spans ophthalmology, neurology, and urology to help unlock quality insights across the entire drug and device development cycle.

animated magnifying glass icon

Exclusive Insights into this Population

Only found here from the American Academy of Neurology Axon Registry®

Brain

Granular Understanding of Signs & Symptoms from Patient Notes

Cardinal signs to inform disease progression

animated person atop arrow icon

Unique View into Treatments and Outcomes

Including motor complications of dopaminergic therapy

Qdata_ParkinsonsDisease

By the Numbers

K+

Total de-identified patients with Parkinson’s Disease*

Years

Average length of follow-up for total patients

~

Contributing American Academy of Neurology clinicians

image of brain

**Defined as 1+ Parkinson’s ICD code and 1+ claim from an open or closed enrollment period AND a second Parkinson’s ICD Code 6+ months after the first OR 2+ mentions of Parkinson's cardinal signs OR 1+ mention of DBS surgery in notes. Data as of September 2023. Data counts represented are subject to change. Data counts for research purposes are dependent on project scope, feasibility and integration status.

Meet with a Qdata Expert or Request a Data Count

Key Variables in Qdata Parkinson’s Disease

Curated variables are extracted from EHR data to be utilized based on your research needs.

Tremor

Bradykinesia

Rigidity

Postural Instability

Motor Fluctuations

Dyskinesia

Unstructured Data Enables Deeper Understanding

Verana Health applies clinician-informed algorithms to unstructured EHR data at scale to help extract key information such signs and symptoms including tremor, bradykinesia, rigidity and more.

This can give life sciences companies unprecedented insights into the treatments and outcomes of patients with Parkinson’s Disease beyond ICD codes.

0%

of Medical Data Remains Unstructured

MedicalData
Qdata

Talk to a Qdata Expert

Take a minute to submit your contact information and one of our team members will reach out to you.