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Patient Benefit-Risk Insight from the Public Record

AI-assisted, human-curated. RiskReveal surfaces what patients, caregivers, and the published evidence base reveal about benefit-risk, treatment choice, and disease management — for populations and questions where a grounded foundation is needed before fielding primary research.

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What RiskReveal is

A digital ethnography and scientific-literature synthesis. Two streams of evidence. One curated, decision-ready read.

RiskReveal is not a raw data dump and not generic social listening. It is synthesis with pharma context, written for decision use — by a patient expert and a merakoi strategist who interpret what the AI surfaces.

How it works

Two parallel streams feed a single curated synthesis.

1

Scientific literature scan

A structured review of clinical and observational evidence on benefit-risk, treatment choice, and disease management for the population in scope.

2

Digital ethnography

Listening across the public record — forums, social, patient communities, published patient narratives — for the lived experience of benefit-risk and treatment choice.

Curated synthesis

Both streams feed a curated synthesis: a patient-true read on the lexicon, the trade-offs patients are weighing, the gaps in the published evidence, and the implications for product strategy, message, or trial design.

When to use RiskReveal

  • You're targeting a population that is hard to engage primarily — adolescents, young adults, stigmatised conditions, populations unfamiliar with the pharma industry
  • You want a grounded benefit-risk foundation before fielding primary research
  • You're asking benefit-risk questions broader than safety alone — preference, treatment choice, lifecycle moments
  • You need a credible synthesis for an internal scientific or commercial audience

Engagement modes

RiskReveal is offered as a component of a Lab engagement, or as a standalone lead-in where a Lab is the expected next step. It is not sold as a one-off deliverable with no downstream Lab.

Component within a Lab

Folded into a Patient Experience Lab or PSEL engagement — grounding the primary work with a public-record foundation first.

Standalone lead-in

Run as a discrete lead-in when a Lab is the expected next step — the foundational read that shapes the Lab's scope, targets, and priority questions.

Language coverage: global English by default for both literature and digital-ethnography streams. Multi-language coverage available where feasibility allows.

Why choose RiskReveal

Human-curated, not auto-generated

A patient expert and a merakoi strategist read and interpret what the AI surfaces. Synthesis is the deliverable, not the data.

Built for hard-to-reach populations

When primary engagement is constrained — adolescents, young adults, stigmatised conditions — RiskReveal is the right input layer.

Benefit-risk, not just safety

The methodology covers the full benefit-risk territory, including preference and treatment choice, not safety in isolation.

Real-life case study · Benefit-risk discovery

A global pharma company — moderate-to-severe acne, US adolescents and young adults

A RiskReveal targeting a notoriously hard-to-engage population: US adolescents and young adults living with moderate-to-severe acne, most without prior exposure to the pharma industry. The combined literature scan and digital ethnography produced a youthful, grounded read on patient lexicon, treatments, healthcare-system interactions, and the emotional and social burdens shaping treatment-selection decision-making.

The literature scan also revealed a poorly-studied benefit-risk picture, so merakoi built the foundational benefit-risk read across available therapies from the clinical record itself. Output: a benefit-risk and disease-management foundation for a hard-to-reach population that would otherwise have been a gap in the client's evidence base.

See related case studies →

Book a Consultation to scope your RiskReveal.

A short call to frame the population, the decision, and whether RiskReveal fits as a Lab component or a lead-in.

Book a Consultation

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