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Medeloop

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Agentic analytics platform for clinical research on real-world patient data

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Medeloop

What it is

Medeloop is a clinical research analytics platform built around AI agents. A researcher describes a question in plain language, and the system maps clinical concepts to the data, drafts a study protocol, checks feasibility such as cohort size and statistical power, and lets the user review cohorts, code sets and methods before anything runs. Validated queries then execute and return cohorts, statistics, figures and a written narrative. Users can work with Medeloop's preloaded, de-identified claims data or deploy it on their own EHR, claims or registry data, where computation runs inside the organization's environment. Pricing is based on study bundles or subscriptions, with a free starting tier.

Key features

  • Plain-language study questions
  • Feasibility checks before analysis
  • Editable protocols and cohorts
  • Federated runs on your own data

What we liked

  • + Preloaded research-grade data included
  • + Each analysis step can be reviewed
  • + Data can stay inside your environment

Worth noting

  • · Study pricing is significant for individuals
  • · Built for specialist research teams

Editor's notes

More context from AI BirdView

Medeloop addresses a slow part of health research: getting from a clinical question to an analysis that holds up. It keeps a human in the loop at every stage, so researchers can see and edit the protocol, cohorts and statistical methods before any query runs, which matters a great deal in a field where methods are scrutinized.

  • Plain-language questions grounded against clinical concepts in the data
  • Feasibility checks on cohort size, coverage and statistical power up front
  • Traceable outputs including cohorts, statistics, figures and a written narrative
  • Preloaded claims data, which the company says covers hundreds of millions of patient records
  • Federated execution so an organization's own data stays in its environment

Medeloop is best for health systems, life sciences teams and academic researchers who run comparative effectiveness, treatment pattern or prevalence studies. You can start free with a few research threads, and studies can then be bought one bundle at a time or through a subscription. A practical tip: use the free threads to test a question you already know the approximate answer to, so you can judge how the agent's cohort definitions and methods line up with your own approach.

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