In our webinar earlier this month, we discussed how MarketScan is more than a family of databases. With research environments increasingly demanding precise, credible, and decision-ready evidence, the sourcing of the data matters just as much as the sophistication of the analysis.
MarketScan is a long-established real-world data brand built on employer-sourced claims, longitudinal continuity, specialty data assets, and research support services designed to help teams generate stronger evidence with greater confidence.
MarketScan should be understood as more than a large repository of claims. While we are a research-grade evidence platform that has evolved for more than 30 years and has been used in thousands of peer-reviewed publications, MarketScan is not just data in isolation – it’s part of a broader offering that includes tooling and analytics services.
That framing matters because it shifts the conversation away from simple scale and toward fit-for-purpose: how well a data asset supports rigorous study design, credible evidence generation, and the practical needs of life sciences, payer, and outcomes research teams.
MarketScan’s core differentiator is its sourcing model. Rather than relying only on fully insured plan data, MarketScan is built primarily from large self-insured employers, supplemented by health plans and state Medicaid programs built from a proprietary decision support tool, Truven Health Insights. That foundation helps produce highly complete claims and enrollment data, because the underlying contributors use the information themselves for benchmarking, benefit management, and financial decision-making.
Another practical advantage is that MarketScan captures actual net paid amounts and, in most cases, detailed cost data, making it especially useful for burden-of-illness, utilization, reimbursement, and health economic analyses. Combined with broad geographic reach and hundreds of data suppliers, that sourcing model is a major reason we remain relevant and research ready.
Longitudinality was another major focus of the webinar. Because MarketScan follows employees and dependents across health plan changes within an employer-sponsored environment, it can offer unusually long observation windows in commercial populations, with even stronger continuity in some Medicare populations tied to retiree coverage and newer Medicare Advantage sourcing. That matters for common claims-based study designs that require a baseline period, an index event, and extended follow-up. Longer continuous eligibility gives researchers a better chance of capturing patients who meet study criteria, measuring comorbidities and prior treatment patterns accurately, and observing outcomes over time without losing large portions of the cohort in attrition.
The strength of this closed-system, when compared to open or partially open claims models, is that without reliable enrollment information it becomes much harder to know what care is missing, which can complicate cohort definition, outcome measurement, and denominator-based analyses.
MarketScan extends beyond core medical and pharmacy claims through a range of specialty datasets. This includes lab results, dental data, health risk assessment data, mortality data, and social determinants of health (SDoH) data. Our employer-based model makes it possible to connect claims with measures such as absenteeism, short-term disability, long-term disability, and workers’ compensation, meaning researchers can examine direct medical costs and indirect burden and workforce impact.
The ability to link family members is another meaningful advantage, supporting analyses such as caregiver burden or mother-baby linkage studies. Additionally, the mortality dataset can be linked to commercial and Medicare claims, as well as our SDoH offering that incorporates variables such as income, education, poverty, race and ethnicity proxies, and rural-urban classification to broaden the analytic lens.
MarketScan’s value proposition is not limited to the licensed data itself. Our Research & Analytics team is really an extension of the platform, bringing decades of proprietary programming, source-level knowledge, and specialized methods tailored to the realities of claims-based evidence generation. This includes work such as reconciling and aggregating claims appropriately, managing family linkages, navigating the details of adjudication, and supporting efficient study execution.
There are real advantages that come from being the data originator, including access in some settings to more detailed variables, more recent data, additional lives, and the ability to support deterministic linkages to external data sources using tokenization. This means MarketScan can serve as a standalone data source and as a foundation for more customized and analytically ambitious evidence strategies.
We also discussed the introduction of our MarketScan Partner Ecosystem, intended to expand what researchers can do with our data by linking the core claims backbone to external clinical and specialty datasets when a study requires deeper context. Clients can expand evidence generation beyond closed claims with access to datasets spanning ambulatory and specialty EHR data, inpatient and facility-level detail, laboratory and diagnostic results, patient-level data collected outside traditional care settings, and more.
Overall, better real-world evidence begins with fit-for-purpose data and a clear understanding of what that data can truly support. MarketScan is a differentiated foundation because of our employer-based sourcing, closed claims structure, longitudinal follow-up, actual cost visibility, and expandable ecosystem of specialty datasets and research services.
Our platform is useful across the evidence lifecycle, from early strategy and burden-of-disease work to comparative effectiveness, commercialization, and post-marketing research. For teams trying to move from raw claims to clearer, more decision-relevant insight, connect with MarketScan today.
Watch the full webinar replay here.