Linked Closed Claims and EHR Data: One Patient, Two Records

Linked closed claims and EHR data connect the payer record with the clinical record for the same patient. Together, they provide a broader view of patient care than either source alone.

Closed claims follow patients across payers, providers, and care settings over time. Structured EHR data and clinical notes explain what clinicians observed, documented, and why treatment decisions were made. Many real-world evidence questions require both perspectives.

This blog will explore:

• Understanding linked closed claims and EHR data
• The value of patient-level linkage
• How linked datasets strengthen research
• The role of privacy and governance

The questions that need both records

Many research questions cannot be answered with claims or EHR data alone.

Take a common example: A patient switches therapy, and you need to understand why and what happened afterward.

The clinical record often contains the answer behind the decision. Clinical notes may document an adverse event, worsening disease, new laboratory findings, or a comorbidity that changed the treatment plan.

What the clinical record may not show is everything that happened after the patient left that health system.

Closed claims fill that gap. They follow the patient across providers, care settings, and payer changes, capturing healthcare utilization that occurred outside the original organization.

Separately, each source answers part of the question. Together, they connect into one patient journey.

The same pattern applies across many real-world evidence studies. Researchers often define cohorts using clinical detail, such as disease stage, laboratory values, or severity, then follow those patients longitudinally across changing providers and insurance coverage. Others validate utilization patterns observed in claims against the clinical context documented in the EHR.

The limitation is rarely the quality of either dataset. It is that the research question requires both records for the same patient.

What is a linked closed claims and EHR dataset?

The Inovalon and OMNY Health Linked Closed Claims and EHR Dataset connects post-adjudication closed claims with structured EHR data and clinical notes at the patient level.

The clinical data comes directly from OMNY Health’s provider network, including integrated delivery networks, academic medical centers, community hospitals, and multi-state specialty practices. The closed claims are Inovalon data, source directly from the health plans that generate them.

Both data sources retain primary source provenance. Researchers can trace each record back to its original source, supporting the documentation expected for regulatory submissions, payer evidence, and peer-reviewed publications.

The dataset is de-identified under the HIPAA Expert Determination standard.

Why patient-level linkage matters

Patient-level linkage means the connection is made per patient, not per population.

A closed claims history and a clinical record are joined because they describe the same individual, so a lab value and a downstream hospitalization in the claims record belong to one person rather than to two similar cohorts matched on characteristics.

That distinction matters for research.

Cohort-level or statistically matched approaches can describe how populations behave. Patient-level linkage supports questions about treatment sequencing, outcomes, and longitudinal care at the individual level.

The linkage is completed before delivery by Inovalon and OMNY Health. Researchers receive a connected dataset that is ready for analysis without performing additional linkage or working with a third-party vendor.

Privacy and governance come first

Connecting records across organizations requires more than technical matching. The linked dataset is de-identified under the HIPAA Expert Determination standard, certified by an independent expert.

Because combining sources can change re-identification risk, integrating data from outside Inovalon triggers a fresh Expert Determination review of the linked data, and suppression rules generalize or exclude higher-risk fields.

For research teams, that means a documented, independently certified de-identification process, with certification available on request, that supports regulatory, payer, and publication review.

What linked closed claims and EHR data make possible

When closed claims and EHR data are connected at the patient level, research and commercial teams can:

• Define clinically precise cohorts and follow patients across payers and care settings
• Understand why a treatment decision occurred and measure outcomes over time
• Connect clinical outcomes with healthcare utilization and costs.
• Validate claims-based findings using clinical documentation
• Build endpoints requiring both clinical measurements and longitudinal follow-up
• Characterize care delivered both inside and outside a health system

For evidence headed to regulatory, payer, or publication review, linked data supports questions a single source leaves open.

Linkage is the foundation, not the study

Patient-level linkage removes one major challenge: accurately connecting large clinical and payer datasets under a governance process designed for research.

The scientific work remains.

Researchers still define cohorts, validate variables, develop endpoints, and design studies that align with clinical intent. Linked data provides a stronger foundation, but study design, analysis, and interpretation remain essential.

Closed claims and EHR data work better together

No single data source captures every dimension of patient care.

Closed claims provide longitudinal visibility across payers, providers, and care settings. EHR data and clinical notes provide the clinical depth needed to understand disease severity, treatment decisions, and outcomes.

When both records are connected for the same patient, researchers gain a more connected, longitudinal view of the patient journey and can answer questions that neither source could answer independently.

To learn how linked closed claims and EHR dataset can support your evidence strategy, explore the linked dataset.

 

Frequently asked questions

How is a linked dataset different from licensing closed claims and EHR data separately?

Licensing closed claims and EHR data separately provides two independent data sources. A linked dataset connects those records at the patient level before delivery, allowing researchers to analyze longitudinal claims history and clinical context within the same patient journey.

Can researchers still use linked data for studies focused on only one data source?

Yes. A linked dataset gives researchers the flexibility to use claims, EHR data, or both, depending on the study design. Teams can begin with one source and incorporate the second when additional clinical or longitudinal context is needed.

What types of studies benefit most from linked closed claims and EHR data?

Linked datasets are particularly valuable when studies require both clinical detail and longitudinal follow-up, such as treatment sequencing, comparative effectiveness, disease progression, healthcare resource utilization, and outcomes research.

Does patient-level linkage change the original source data?

No. The linkage connects records that belong to the same patient while preserving the original source data and its provenance. Researchers continue working with primary-source claims and clinical records.

Why does linkage before delivery matter?

Receiving a pre-linked dataset eliminates the time and complexity of coordinating patient matching across organizations. Research teams can begin cohort design and analysis immediately using a dataset that has already undergone established governance and linkage processes.

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