From creatinine levels to cost of care

Travel the full patient journey with integrated EHR and claims data from TriNetX Linked

When it comes to patient journeys, EHR and claims each tell only half the story. Make sure you draw your insights from data that integrates the richest versions of each.

Curated for depth and diversity

Build your custom cohort from patients seen at a cross-section of renowned academic medical centers and major hospital systems, representing all four U.S. regions

Enriched EHR

Go beyond the standard EHR fields with detailed lab results, tumor registry data, and mortality records from obituary databases and the Social Security Administration.

Continuous coverage from 150+ payers

Track the full array of patient journeys with claims data from >150 payers, with enrollment periods overlapping EHR records by an average of 2-3 years

Why EHR and claims? For depth and breadth.

Electronic health records

  • Provides timely, robust data on demographics, diagnoses, encounters, laboratory results, procedures, and medication orders
  • Does not reflect activity outside of the care setting, such as prescription fills
  • For a patient who receives care at more than one hospital, any one EHR record will be incomplete

Medical and prescription claims

  • Tells a continuous clinical story, representing care across provides and inclusive of pharmacy transactions
  • Captures cost
  • Short on clinical detail (lacking lab values, tumor staging information, physicians notes)

You draw the insights. We'll wrangle the data.

TriNetX Linked de-identifies, tokenizes, harmonizes, and continuously refreshes patient data from these disparate sources, enabling you to focus your efforts on generating and testing hypotheses, rather than wrangling real-world data. 

Tokenizing and integrating patient data

Tokenization: The Key to Completeness

Privacy is the first requirement of linking real-world data. How do we accurately match a patient’s EMR data with their claims, when personally identifying information has been removed from both sources before TriNetX sees either one? The answer is tokenization: a process that programmatically creates unique, encrypted keys that can be used to match records to the same patient, without needing to reveal the patient's identity. Our partner in this process, Datavant, is the industry leader in securely connecting health data. Our collaboration with Datavant lets us match and link de-identified data from our claims provider and our healthcare partners with unsurpassed security, efficiency, and accuracy.

Why TriNetX for linked data?

The value of your linked data depends on two factors: the diversity of your payer sources and the richness and recency of your EHR data. By both measures, TriNetX offers an unparalleled solution ideal for complementing your current data mix.

The freshest EHR data, from the forefront of research and care

The healthcare organizations who are part of TriNetX Linked provide their data through a live, federated model, so that new observations, results, and medication orders are available to you every month.

These healthcare organizations represent renowned academic medical centers as well as public and private hospitals, representing all four U.S. census regions and patients of all demographics. Together, they offer an ideal balance of rare and common cases, treated in ways both pioneering and standard.

Therapeutic area

Number of patients

Number of patients with at least one year of continuous enrollment after an instance of this code

Hypertension (I1o-I19)

Type II Diabetes (E11)

Chronic kidney disease (N18)

Rheumatoid Arthritis (M05 or M06)

Breast cancer (C50)

Lung cancer (C34)

Hereditary retinal disorders (H35.5)

1,720,079

776,645

327,550

123,766

95,384

49,828

10,668

1,034,169

466,317

173,999

69,738

49,949

19,342

5,332

Linked Patients

%

African American

%

Male

Claims from more than 100 commercial and governmental payers

The mix of payers contributing claims data to TriNetX Linked ensures a true picture of health, care, and cost variations.

%

patients with at least one commercial plan enrollment period

%

patients in Linked with at least one Managed Medicaid enrollment period

%

patients with at least one Medicare Advantage enrollment period

Analyze the data on our platform or with a dataset

Build and explore linked patient cohorts from continuously refreshed, de-identified data on our federated network. Our Query Builder supports the full range of medical codes and concepts in combination with powerful logic. Our Quick Analytics let you quantify the impact of each criteria on the size of your cohort, explore comorbidities and patient histories, and project rates of arrival for identical patients. Our Advanced Analytics deliver rapid and statistically robust comparisons of outcomes and treatment patterns.

Build To understand the patient journey, you may need to dive deeper than aggregate counts and means. Spanning domains from diagnoses to genomic variants, our datasets attribute every observation to a pseudonymized patient ID, encounter, and date, making it straightforward to build robust longitudinal pictures of today’s patients.

Revealing the Patient Journey with Linked Claims and EHR

Complete this form to stream our educational webinar, Revealing the Patient Journey with Linked Claims and EHR.

Topics

  • A Tale of Two Data Sources: Enriched EHR and Claims
  • The Key to Matching: Tokenization
  • From Journey to Insight: Use Cases
  • Introducing TriNetX Linked

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