AI maturity in health and life science organizations

Artificial intelligence (AI) and unstructured data are beginning to transform the healthcare and life sciences sector, creating opportunities to improve patient care and streamline critical processes. However, the sector remains in the early stages of its AI maturity journey, particularly when compared to more digitally advanced industries. The sector is gradually advancing in AI maturity through a clear focus on improving patient diagnosis and treatment plans through AI-driven automation, unstructured data, and multi-modal AI, setting the foundation for transformative change.

Findings are based on research conducted by Iron Mountain alongside independent market research specialist Vanson Bourne. Data in this report is based on 186 IT and data decision-makers in the healthcare and life sciences sector, who have knowledge or involvement in their AI strategy. You can read the global report

Three key takeaways:

• More than one-third (37%) of decision-makers in the healthcare and life sciences industry are in the middle of their AI journey, with an additional 29% early in the AI journey, meaning many have yet to reach AI maturity within their organizations
• Improving and enhancing customer service is key for the industry, and improving patient diagnosis and treatment plans through AI-driven automation will be the cornerstone of this transformation
• As a result, 58% of organizations in the healthcare sector are leveraging unstructured data with AI, and are one of the most likely industries to see the growing importance of multi-modal AI in the next two years

Iron Mountain commissioned independent market research specialist Vanson Bourne to conduct this piece of research. The study included surveying 1,400 IT and data decision makers who have knowledge of or responsibility for AI strategy at their organization. Respondents’ organizations had to have 250 employees or more across the following countries: US, UK, France, Germany, India and Australia.

Organizations are from several public and private sectors but there was a strong focus in banking and financial services, insurance, healthcare and life sciences, media and entertainment, the public sector (excluding healthcare) and energy. This summary is based off 186 decision makers in the healthcare and life sciences sector.