What leads to a choice?
Explore the reasons physicians select each treatment and the patient factors associated with those decisions.
View example report ↗Understand how physicians think. Realistic virtual patients reveal the choices they make, the factors they weigh, and the reasons why.
Physicians focus on the patient factors that matter most, using them to narrow the treatment options and guide their choice.
By exploring decisions across a representative set of virtual patients, Virtual Patient reveals that hierarchy of factors—and the treatment algorithms behind prescribing.
A decision simulation platform where physicians choose treatments for realistic virtual patients and explain their reasoning, rather than answer an abstract questionnaire.
Create clinically credible cases around the treatment decisions you need to understand.
Explore patient designLet physicians make a treatment choice and explain the patient factors that shaped it.
Meet the experienceExplore treatment patterns, drivers and barriers to inform your next strategic decision.
Discover the insightsAI helps you shape the study. Your team brings the clinical judgement and strategic context.
Choose the indication and markets. Review the suggested patient factors and treatment options, then finalise the study with your team.
Typically, four to six patients represent strategically important profiles. Include likely targets and less obvious candidates to explore the boundaries of treatment choice.
Refine the clinical history and patient motivation statement. Add relevant clinical imagery where useful, and review every proposed profile before fieldwork.
Physicians review a realistic patient, choose a treatment, and explain what shaped their decision.
Responses can be spoken or typed. Follow-up questions explore why other treatments were not chosen.
A typical patient set
A typical exercise*
*Timing varies with case complexity and study design.
Use Survey Manager or your existing agency recruitment process. Track invitations, monitor progress, send reminders, and export study data.
Support quantitative studies and moderated qualitative exercises.
Explore treatment choices across patients and products, then examine the reasoning behind them.
Illustrative demo data. Select the image to enlarge.
See how the treatment landscape changes from one patient profile to another. Identify where preferences concentrate and where decisions diverge.
Explore the live demoExplore the reasons physicians select each treatment and the patient factors associated with those decisions.
View example report ↗Understand the concerns and patient characteristics that prevent selection of the focus product.
View example report ↗Bring the evidence together into a strategic narrative for brand and leadership teams.
View example report ↗Explore which patient factors physicians prioritise, and how those priorities relate to the decisions they make.
Explore the relative weight of the factors physicians identify, alongside the drivers, barriers and verbatims in your study.
Examine conditional patterns and patient-linked evidence. Compare markets where country-level evidence is available.
Bring the findings into a client-ready Executive Report, available to copy or save as PDF.
Hear contrasting treatment perspectives in a generated physician-style discussion grounded in project evidence. Make the tensions behind the decisions easier to explore together.
An AI-generated interpretation of research findings, rather than a recording of participating physicians.
Explore an MD Audio example ↗Explore the patient profiles most closely associated with your product and the factors that distinguish them.
Examine physician reasoning alongside the clinical characteristics of each case to understand the factors influencing selection.
Identify recurring barriers and explore how evidence, positioning or communication could address them.
Use the adoption ladder to explore how many patients in the designed set physicians would treat with your product. Interpret this in the context of the study’s patient mix.
Include new treatment profiles or biosimilars in a designed exercise to explore potential changes in physician choice.
Use the findings in cross-functional workshops to connect patient targeting with treatment drivers, objections and communication priorities.
Bring patient-based decision simulation into your next proposal, with a research environment that supports your team from study design through to reporting.
Frame research around realistic patient decisions and the reasoning behind them.
Review AI suggestions and refine the study with medical and commercial expertise.
Work with your own recruitment processes and access results as fieldwork progresses.
Combine interactive analysis with reporting, and export project data for further agency analysis.
The same full feature set, whichever access period you choose.
Bring a research question. We’ll show you how Virtual Patient could help you explore it.
Everything you need to design, run and explore a Virtual Patient study. All features are included with both access periods.
Discover how Virtual Patient could support your next study or client proposal.
See what a physician experiences from receiving an invitation to reviewing patients, choosing treatments, and explaining their decisions.
See how a project can take shape in minutes for an indication relevant to you. Explore AI suggestions for treatment options and patient factors, then refine them together.
Discuss the questions you want to answer, where the methodology fits, and examples of how other agencies have used it.
A clearer understanding of the methodology and how it could support your next piece of research.
Tell Simon a little about your indication or research question.