OBJECTIVES: Artificial Intelligence (AI) is being integrated more into the healthcare industry, aiding in data analysis for strategic decisions. Yet, challenges like establishing AI strategies, data governance, lack of skills, and privacy remain. Ipsos aims to explore payer perspective on opportunities and challenges of incorporating AI technologies in healthcare decision-making in the near future. In addition we aim to shed light on the payer acceptance level towards evidence produced by AI.

METHODS: We fielded an online survey with payers from the Ipsos payer panel across multiple EU member states, the US, and Canada

RESULTS: Payers see AI as a tool that could boost efficiency by decreasing the time spent on evidence synthesis, assist in gaining a more precise comprehension of the efficacy and cost-effectiveness of new healthcare interventions, and improve post-launch monitoring. The greatest utility of AI is perceived in rapidly changing fields, for example, oncology, and in areas with a wealth of evidence, such as chronic diseases. There are apprehensions regarding the transparency of AI algorithms, as well as ethical implementation and potential bias. Moreover, lack of HTA and regulatory frameworks to guide the use of AI and lack of skills and expertise are seen as barriers for implementation.

CONCLUSIONS: The outlook suggests a gradual and selective integration of AI technologies in healthcare decision making, with emphasis on data-rich areas and fast-changing fields. Development of AI frameworks is essential to streamline its adoption