When it comes to the patient experience (PX), data is the key to understanding how experience matches expectation – and where it needs to improve. Whether it's medical, experiential or health claims data, it plays a significant role in advancing research, improving the quality of healthcare and driving better patient outcomes.
However, data collection poses many challenges. The patient's time is dominated by care needs, and despite outreach for Voice of Customer (VoC) feedback, many patient populations remain unengaged and therefore under-represented by traditional research methods. Organizations already hold many data points that could help them design and optimize new products and services, but increasingly stringent data regulations mean this is not always possible.
With case studies from Alegeus, Paytient, Everywell and CVS Health, this report explores how the limitations of traditional patient feedback are being overcome with synthetic data and agentic AI twins.
Download this report to find out:
- How synthetic data and digital twins are being used in real-world scenarios
- Why data simulations are supporting innovation without compromising privacy or regulatory compliance
- How three companies across the healthcare ecosystem put theory into practice and used synthetic data to road test their innovations