Advanced Analytics
Explore patient counts in even greater detail with powerful, evidence-ready insights.
Deeper understanding. Smarter decisions.
Having the clearest picture possible of your cohort is key to designing patient-centric trials that enroll faster and retain participants.
With its extensive suite of powerful tools, TriNetX LIVE™ Advanced Analytics dives even deeper into our global real-world data network, offering the most detailed insights possible on your patient population.
Whether you’re examining treatment journeys within a given cohort or comparing outcomes between two cohorts of interest, Advanced Analytics delivers incredible results in minutes — all with zero data munging or coding required.
How can it help you?
Explore the Advanced Analytics tools that deliver deeper cohort insight.
Advanced explore cohort
Review the clinical characteristics of your cohort across any time window you define relative to an index event, including intervals prior to that event.
- Measure the prevalence of diagnoses and treatments just prior to, or immediately following, a clinical event of interest.
- Understand the health of a potential trial population at baseline.
Analyze outcomes
Calculate overall risk and time-to-event for any observation or outcome of interest. Generate Kaplan-Meier curves, post-index lab distributions, and patient histograms by the number of times the outcome was observed.
- Guide endpoint selection by understanding real-world timing and frequency of outcomes.
- Improve study design and forecast study duration based on predicted event accumulation.
Compare cohorts
For any two cohorts defined on the same network, compare the prevalence of diagnoses, procedures, and medications, as well as differences in lab value ranges, means, and variance.
- Evaluate differences between potential study populations.
- Compare thousands of clinical characteristics along sex, age, race, and ethnicity strata.
- Quickly compare fill rates for labs of interest.
Compare outcomes
For any two cohorts and index events defined on the same network, calculate the absolute and relative risk of one or more outcomes. Compare hazard ratios, outcome frequencies, and post-index lab distributions.
- Get fast, directional answers to questions of comparative safety and efficacy.
- Compare expected outcomes for two potential study populations.
Incidence and prevalence
Calculate incidence, incidence rate, and prevalence across multiple timeframes simultaneously, automatically stratified by age bracket, sex, race, and ethnicity.
- Compare prevalence and incidence along several demographic strata.
- Uncover trends over time.
Treatment pathways
For any cohort and index event, select medications and procedures of interest to plot their overall utilization, order of administration, and treatment duration.
- Identify standards of care.
- Monitor utilization of new treatments.
- Explore switching patterns.
- Select comparators for your study or forecast when patients will end regimens required by your protocol.
Competing risks
For any cohort and index event, quantify the probability of a patient experiencing each one of several mutually exclusive outcomes.
- Isolate risks for each of several adverse events in response to a medication.
- Better understand the causes of death post-index.
Download our latest eBook to learn how TriNetX is combining the world’s largest RWD network with advanced AI to accelerate protocol design, site selection, and patient recruitment.
We are honored to share that TriNetX has won the “Clinical Trial Innovation Award” in the 10th annual MedTech Breakthrough Awards.
Landmark 10th Annual Awards Program Recognizes the Most Innovative Digital Health and Medical Technology Solutions Worldwide. [External]
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