HEOR and Real-World Evidence
Answer It Fast, Then Show Your Method
Test feasibility in minutes, not weeks, then hand the reviewer the cohort logic, method, and code they can run themselves.
Follow Patients Long Enough to See the Outcome
Outcomes take years to appear. Start with data deep enough to capture them.
HEOR and Real-World Evidence Analytics
Know a study will run before you commit the budget. HEOR teams use Komodo to size disease burden, follow treatment over time, and generate the evidence behind a value story, with Komodo’s research team alongside when a study needs it.
Burden of Illness
Size prevalence, incidence, and the diagnosed-but-untreated population, by therapy area and by geography.
Treatment Patterns
Follow lines of therapy, switching, discontinuation, and adherence across years of linked pharmacy and medical claims.
Cost and Utilization
Measure inpatient, outpatient, and pharmacy utilization around a diagnosis, and what changes after treatment starts.
Comparative Outcomes
Compare matched cohorts on observed outcomes, with the matching criteria and sensitivity checks written down.
Retrospective Studies
Scope HEOR studies against real patient counts first, so you know a retrospective design will run before you commit.
Reusable Cohorts
Carry one validated cohort across burden, cost, and outcomes studies instead of rebuilding it for each deliverable.
Built for the Reader Who Disagrees
HEOR evidence gets read by a payer, a regulator, or a journal reviewer whose job is to find the flaw in it. That changes what the analysis has to carry with it, and how long it has to stay defensible.
Continuous EnrollmentA Continuous View of the Patient
A cost or persistence question needs patients you can follow over time, not a snapshot. The Healthcare Map covers 200M+ patients with 12 or more months of continuous enrollment. Medical and pharmacy claims are linked to each patient, with closed claims for an adjudicated, longitudinal view. The follow-up window from the index date is there before the study starts.
Show Your Work
The Method Is the Deliverable
In HEOR, the methods section is the product. With Marmot, generate the SQL behind every cohort and run it independently. Automated checks compare cohort sizes and code sets against clinical benchmarks before you see results.
One Definition, Many Studies
Define It Once
A burden study, a cost model, and a comparative outcomes analysis should describe the same population. Validate the cohort definition once, save it to a shared library, and reuse it, so analysts years apart work from the same definition. Your team takes on more studies, and your experts stay on the methodological calls that need them.
HEOR and RWE FAQs
What makes real-world data defensible for HEOR studies?
Follow-up depth matters more than record count. Burden, cost, and persistence questions need medical and pharmacy claims, lab results, and provider data tied to the same de-identified patient over years. Sources that cannot be linked at the patient level produce parallel views rather than one journey.
How is HEOR used in pharma?
HEOR in pharma sizes the population a therapy could serve, quantifies the cost and clinical burden it carries today, and generates the evidence behind value communication and guideline submissions. The work runs from pre-launch through post-approval, so the cohort logic has to stay readable for years.
Does Komodo offer HEOR consulting services?
Yes. Komodo’s research team supports HEOR and RWE studies in three ways: validating a study your team runs in Marmot, running it fully in Marmot, or running it by traditional methods. Each includes an expert-developed protocol, independent human validation with a manual re-run, and a publication-grade report.
Bring the Study You Have to Defend
Evidence payers can trust supports the coverage decisions that help therapies reach patients. Walk through a live analysis in your therapy area, for your population. See how the cohort is built, how the method is documented, and how the code makes the analysis transparent and reproducible.