AHA report: 4 keys to successful implementation of clinical AI

Andrea Park - Print  | 

An effective suite of artificial intelligence-powered clinical support tools requires far more than just the newest, most advanced technology, according to a new American Hospital Association report.

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.

More articles on AI:
Northwell launches AI chatbot to reduce colonoscopy no-shows
Radiology AI startup launches with funding led by Google’s AI venture fund
Texas Medical Center- and Stanford-backed AI startup raises $17M

© Copyright ASC COMMUNICATIONS 2020. Interested in LINKING to or REPRINTING this content? View our policies by clicking here.