Operational AI, alongside clinical AI, is set to transform medtech efficiency and innovation. Realizing this value and scaling successfully hinges on establishing robust data strategy, security, and compliance foundations.
CIOs and senior IT leaders highlight the key strategic considerations for AI implementation, including:
- Building a strong foundation through a phased, pragmatic rollout
- Biggest implementation challenges: from data interoperability to security and privacy
- Best practices for standardizing the technology stack
- Mitigating compliance and audit risk through a guided principles framework
- What the future holds - foundations for future scalability and emerging use cases