Is your research designed to withstand fraud?

Our new white paper explores how AI is changing healthcare market research, from survey design and fraud prevention to the decisions made with the data collected.

Healthcare market research is facing a new era of fraud. AI-powered bots, synthetic participants, duplicate identities and increasingly sophisticated human fraudsters are making it harder to distinguish genuine insight from manipulated data.

As research becomes faster and more technology-driven, protecting data quality is becoming increasingly important for the high-stakes decisions that depend on it.

The reality of the healthcare market research:

30–40% of survey data is now considered questionable, compared with 10–15% just a few years ago
69% of survey data quality flags are linked to fraud
1 in 3 fraudsters now use AI tools to generate longer, more polished and harder-to-spot responses

What you will learn

Our latest white paper builds on this thinking, exploring why detection alone is no longer enough and how prevention, verification, monitoring and human oversight can work together to strengthen data quality.

Inside, we cover:

The changing fraud landscape and rise of AI powered fraud
How fraud can enter at every stage of the research lifecycle
The growing role of synthetic data
Why hybrid qual and quant approaches are gaining importance
How smarter survey design can become a first line of defence
What this changing landscape means for pharma and healthcare organisations making high-stakes decisions

Market ready insights, when you need them.

See how Konovo’s connected approach to healthcare market research helps you move from question to decision with confidence. Get in touch to discuss engaging the wider integrated healthcare team in your next insight project.