Apply a Data-Driven Approach to Clinical Research
TriNetX helps solve the problem of flawed protocols and costly, avoidable amendments by providing real-time access to patient populations.
Apply a Data-Driven Approach to Clinical Research
TriNetX helps solve the problem of flawed protocols and costly, avoidable amendments by providing real-time access to patient populations.
Design Successful Protocols
Design feasible protocols with self-service access to de-identified, clinical and genomic data.
Improving Planning and Site Selection
Instantly see a list of sites with the number of patients that match your criteria and a comprehensive aggregated picture of the cohort.
Have a Path to Real Patients
Identify sites that have eligible patients based on real data. Gain a path back to the identity of the patient if the healthcare organization decides to participate in your trial.
Gain Real-time Responses and Insights
Through its cloud-based platform, TNX™, TriNetX enables healthcare organizations and pharmaceutical companies and contract research organizations (CROs) to collaborate, enhance trial design, accelerate recruitment and bring new therapies to market faster.
TriNetX Live™
TriNetX Live enables researchers to analyze patient populations and perform “what-if” analyses in real-time. Researchers are presented with aggregate views, but each data point in the TriNetX network can be traced to healthcare organizations who are able to identify individual patients. This enables clinical researchers to develop virtual patient cohorts that can be re-identified for potential recruitment into a clinical trial.
Best of all, what previously took days to weeks to determine, can now be done in minutes.
Answer Questions Confidently
Protocol Design & Feasibility
Self-service access to continuously-refreshed clinical data
Investigate all attributes and comorbidities of the eligible cohort
Determine if a sufficient patient population matches a protocol
Analyze inclusion / exclusion criteria and the impact of protocol changes
Identify Sites Quickly
Site Identification
Locate study sites based upon their volume of patients matching a protocol
Engage the right contact within the clinical trials office at the right site
Predict the number of newly eligible patients at each site in the next 12 months
Work with sites that can instantly generate identified patient lists to commence recruitment