Power up with connected clinical RESEARCH
Glooko real-world patient data for retrospective studies and a global network of 8,000+ clinics for randomized clinical studies
Why consider a
connected clinical trial?
- To Increase usage of connected products in decentralized clinical trials due to demand for remote data collection and virtual visits post COVID
- To capture granular real-world data (RWD) in nearly real time
- To easily manage multiple devices used in virtual trials
- To simplify protocols for patients and increase adherence rates
- To efficiently screen and recruit patients
Glooko partners with you
at every stage of your Connected trial
Protocol Design
- Use Glooko’s real-world data to help select devices and determine protocol feasibility
Site Selection & Patient Recruitment
- Get assistance with site selection and patient recruitment
Data Collection
- Continously collect data in near real time and share with study sponsor throughout trial
Patient Monitoring & Study Management
- Remotely monitor patients via easy-to-use dashboards for sites and sponsors
Data Export
- Easily export data in a variety of formats
Glooko is an unmatched source for
real-world data
- 100 billion+ health data points
- Globally generated patient data across 30+ countries in 20+ languages daily
- Robust data sets including blood glucose, insulin, exercise, food, medications, blood pressure, weight and demographics
- 200+ devices supported
- Glooko is HIPAA compliant, GDPR compliant, ISO 13485 compliant, and 21 CFR Part 11 compliant
Making Data More Accessible
for Clinical Researchers
Glooko’s de-identified patient data is available via subscription on AWS Marketplace
- Contains over 100+ billion health data points from 8,000+ clinics from 30+ countries and 20+ languages
- Diverse data subsets offered include blood glucose and insulin statistics, diabetes device utilization, blood glucose readings, demographic and biometric information and lifestyle data
- Can be used for retrospective clinical trials, pre- and post-efficacy analysis, population health studies and HEOR
