The AHA Center for Health Innovation’s “AI and Care Delivery” report outlines the four “foundational pillars” of a successful clinical AI infrastructure, since, the report states, “AI-powered clinical support tools may ‘think’ for themselves, but they don’t run by themselves.”
Here are the four necessary components:
1. People: The deployment of clinical AI tools requires a dedicated team that will not only oversee the project’s execution, but also track results and be accountable for outcomes.
2. Policies: When introducing AI, hospitals and health systems will need to ensure they have strong data governance policies in place to protect the data being fed into AI systems.
3. Resources: AI solutions will only achieve the desired outcomes if they are backed by realistic funding, a well-trained team and plenty of time to allow the solutions to take hold.
4. Technology: Providers deploying AI tools also must invest in companion technologies to prepare the data, feed it to the algorithms and integrate the resulting insights into clinical workflows.
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