Services · Evidence generation

High-validity evidence generation.

Full lifecycle study services from design to execution to publication, powered by a team of epidemiologists, data scientists, and clinical informaticists, and by the Verantos pharmacoepidemiology stack.

What we deliver

Studies designed for scrutiny.

Every evidence generation project is organized as a study. Verantos provides full lifecycle study services, from protocol design and data curation through analysis, reporting, and peer-reviewed publication. Our work is built on fit-for-purpose data, transparent methods, and regulatory-grade reliability standards.

Team

Our multidisciplinary team combines deep clinical knowledge with advanced data science and informatics expertise. We have hands-on experience working with rich, reliable real-world data across a range of therapeutic areas.

CardiometabolicCardiovascularRespiratoryRare diseaseNeuroscienceGastrointestinal
Study lifecycle

From question to publication.

Research question
Design

Protocol development, feasibility assessment, and regulatory strategy shaped by epidemiologists who understand both the science and the submission requirements.

  • Research question and estimand definition
  • Protocol and statistical analysis plan
  • Regulatory pathway mapping
Execution

Data curation, cohort building, and analysis powered by the Verantos Pragmatic Registry and Evidence Platform, with weekly milestone reviews and full audit trails.

  • Fit-for-purpose data set curation
  • Cohort identification and validation
  • Analysis and interim reporting
Publication

Submission-ready evidence packages, peer-reviewed manuscripts, and conference presentations that stand up to regulatory and scientific scrutiny.

  • Methods documentation and audit trail
  • Manuscript and poster preparation
  • Regulatory submission support
Peer-reviewed, submission-ready evidence
Evidence in practice

Peer-reviewed illustrations of our work.

EpidemiologyJanuary 2025Asthma

Advanced approaches to generating high-validity real-world evidence in asthma

Head-to-head comparison of traditional structured-data RWE against AI-enabled extraction from unstructured EHR, demonstrating an 81.4% relative improvement in feature capture accuracy across 3,481 patients.

ISPOR 2025May 2025Asthma

Healthcare resource utilization by severity of disease among adult patients with asthma in the United States

Characterizes HCRU across the full asthma severity spectrum using longitudinal real-world data, including mild-to-moderate populations under-represented in prior literature.

BMJ OpenJuly 2023Cardiovascular

Retrospective comparison of traditional and artificial intelligence-based heart failure phenotyping in a US health system to enable real-world evidence

Compares structured-data heart failure phenotyping against an AI-based approach using unstructured EHR, quantifying the accuracy gap that determines whether downstream RWE meets regulatory-grade criteria.

BMC Medical InformaticsJuly 2023Migraine

Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records

Validates AI extraction of migraine cases, symptoms, and comorbidities from EHR data, addressing the variability of structured fields and the limits of code-based phenotyping in migraine research.

Selected to show depth across therapeutic areas and study types.

View all publications
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Ready to advance your evidence program?

Speak with our team about how the Verantos pharmacoepidemiology stack can accelerate your timeline.