ClinicaLive™

Rapid Access to Global Patient-Level Data

We understand your need for rapid and robust patient-level data to address questions related to burden of illness, or effectiveness and safety of marketed drugs. For decades, retrospective chart reviews have been a pragmatic and successful methodology to capture detailed and fit-for-purpose, patient-level data. Evidera offers a breadth of chart review design and study execution approaches that leverage our real-world evidence (RWE) innovations, PPD’s global footprint, and 30+ years of clinical development experience. ClinicaLive is our most recent chart review methodology that combines our proprietary access to a global network of healthcare providers (HCPs) with robust epidemiological methods and decades of project delivery excellence.

ClinicaLive: Tapping into our Global Network of 2.2M HCPs

Innovation is foundational to Evidera services and solutions, and we strive to provide our clients with flexible, efficient solutions to address their most challenging research needs. Evidera has developed ClinicaLive as an alternative or add-on to traditional chart review data collection methods. ClinicaLive utilizes our established and continuously refreshed global network of 2.2 million HCPs to provide IRB-approved, rapid real-world evidence that can withstand the rigor of top tier journal peer review.

High-Quality Data with Wide-Ranging Coverage

We ensure high quality data by rigorously screening our participating HCPs on the basis of licensing and credentials, patterns of engagement, and adherence to study protocols. A combination of automated edit and validation checks, random quality checks, and manual data reviews and queries are also performed. With our broad geographic reach including South America and Asia, ClinicaLive can provide access to geographies where it can be difficult to find robust existing datasets, rare diseases/small populations, or disease subsets.

ClinicaLive Allows for Constitution of Retrospective Cohorts of Patients with Specific Diagnoses and/or Treatments

Types of data collected

Physician characteristics
Patient characteristics, e.g., demographics, diagnoses, medical history
Disease characteristics
Treatment patterns, e.g., molecule, dose, line of treatment
Effectiveness outcomes, e.g., survival, lab tests

Examples of applications

Natural history studies
- Burden of illness studies
- Informing future clinical trials
- External control arms
Evaluation of marketed drugs
- To support pricing, reimbursement, and market access
- To identify subgroups of particular interest
- To fulfill certain post-authorization commitments

Innovative Data Collection via our Online Global Network of 2.2M HCPs