Qdata® MS is a curated, real-world dataset on 30,000+ de-identified patients with multiple sclerosis (MS) in the U.S. This exclusive data is derived from electronic health records from the American Academy of Neurology Axon Registry®. Qdata MS curated variables include MS subtype, EDSS score, and relapse. Specific tables include patient demographics, condition, treatment, observation, and device.
Qdata® MS is a curated, real-world dataset on 30,000+ de-identified patients with multiple sclerosis (MS) in the U.S. from 2015 to present. This exclusive data is derived from electronic health records (EHRs) from the American Academy of Neurology Axon Registry®. Qdata MS curated variables include MS subtype, EDSS score, and relapse. Specific tables include patient demographics, condition, treatment, observation, and device.
For more information on Qdata MS, visit veranahealth.com or complete this form to speak with a team member.
Key Qdata MS Variables
MS Subtype
MS is typically categorized into three clinical subtypes: RRMS, SPMS, and PPMS. These subtypes are distinguished by the frequency of relapses and the extent of the patient’s recovery.
Gait Status
A patient’s gait status, normal or abnormal, provides specific information about the patient’s level of disability at that clinical encounter.
EDSS Score
The EDSS score is a quantitative value used in clinical trials but very infrequently measured in routine medical practice to assess patient disability and disease progression.
Relapse
Relapse captures instances where the patient is experiencing, or has experienced, a recent relapse as documented by a clinician.
Ambulatory Status
The Ambulatory Status variable captures the use of an ambulatory device that is a result of impaired mobility.
MS Treatments
The MS treatment variable encompasses the combination of EHR and claims data to understand treatment patterns in patients with MS.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing uses a single pricing dimension called Product Access (Units). It grants subscribers access to the product at no cost, since the listing is offered as Free. There are no tiers, instance sizes, or usage-based add-ons to compare. You gain access to curated, research-ready ophthalmology datasets built from clinical registry data. Because only one dimension exists, pricing does not scale by volume or usage here. To arrange access or discuss data needs beyond this access grant, you contact the vendor directly.
Top-of-mind questions for buyers
What does the Product Access (Units) dimension actually grant you?
It grants subscribers access to curated, research-ready datasets built from ophthalmology clinical registry data. The data covers disease-specific modules such as diabetic retinopathy, geographic atrophy, and macular degeneration. Access is provided at no cost under this listing. Broader data needs beyond this grant require contacting the vendor.
Does my cost change as my data usage or team size grows?
No. This listing has one dimension offered as Free, so cost does not scale with volume, users, or data queried. There are no tiers, overage charges, or usage-based add-ons. Additional data modules or expanded access are arranged separately by contacting the vendor.
Are there separate charges for underlying cloud infrastructure or extra data modules?
The Product Access grant itself carries no software charge. Adding further disease-specific data modules is handled directly with the vendor and is not part of this access dimension. Any underlying AWS infrastructure you run would follow standard AWS billing, separate from this listing.
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Qdata NMIBC is a curated, real-world dataset of 74,000+ de-identified patients with non-muscle invasive bladder cancer in the U.S. This exclusive dataset is derived from electronic health records in the American Urological Association (AUA) Quality (AQUA) Registry that are linked with medical and pharmacy claims data. Qdata NMIBC curated variables include T stage, grade, and treatment.
Qdata® Geographic Atrophy (GA) is an exclusive, real-world dataset of 800,000+ de-identified patients with GA in the U.S. This dataset is created by curated and linking electronic health records and ophthalmic images from the American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight). Qdata Geographic Atrophy curated variables include visual acuity, lesion location and more.