A hospital management system your research team will actually use.
Care and research from one record. Build de-identified cohorts, run the statistics, and export to FHIR, REDCap, SPSS, Stata or R — without re-entering a single field. Built and used in a teaching hospital, where the ward round and the manuscript run on the same data.
Research-ready by design, not bolted on
In most hospitals, research means exporting to a spreadsheet, cleaning it by hand, and re-typing it into a stats package — months of work and a fresh chance for error at every step. A research-friendly HMS closes that gap: the clinical record is the dataset. Medveon captures structured care as it happens, then lets you define a cohort, de-identify it, analyse it, and export it — from the same system that runs the ward.
Define inclusion/exclusion over the live record — diagnosis, procedure, dates, outcomes — and get a clean dataset.
An allowlist engine strips direct identifiers so cohorts leave the clinical boundary safely.
Descriptives, multivariable logistic regression and adjusted Cox models built in — not just counts.
FHIR, REDCap, SPSS, Stata, R and CSV — analyse in whatever tool your team already knows.
From ward to manuscript without double entry
Because the cohort is generated from the record clinicians already fill in, there is no parallel research database to maintain and no month-end data-entry marathon. Registries, audits and prospective studies all draw from the same live source — and update as care continues.
Governance and ethics first
Every de-identified export is logged with who, what and when for audit and IRB review; role-based access keeps identifiable data inside the treating team; and patient-data egress is an allowlist, never a denylist. Run it on your own servers for full data sovereignty — the norm for academic and public-sector research.
See the research tools in five minutes
Open the live demo, build a cohort, and export a de-identified dataset.
Open the live demo → Chat on WhatsAppFrequently asked questions
What makes an HMS research-friendly?
It turns routine clinical data into research output without re-entry — a cohort builder over the live record, de-identification, built-in statistics, and exports to FHIR, REDCap, SPSS, Stata, R and CSV.
Can we export to SPSS, Stata or R?
Yes — analysis-ready datasets for SPSS, Stata and R, plus CSV and FHIR.
Is patient data de-identified?
Yes — an allowlist engine removes direct identifiers, and every export is logged for audit and ethics review.
Does it support FHIR?
Yes — FHIR export moves cohorts and encounters cleanly into research databases, registries and other systems.
Related reading: How to choose a research-friendly HMS →