Implementation best practices: Dealing with the complexity of AI

Artificial intelligence is just as complex as it sounds. Successful deployment of the various technologies that are necessary for AI to work requires planning and strategy..

To help chief information officers and other IT professionals better understand these best practices for implementing AI at their health systems, hospitals, group practices and other provider organizations, we spoke with four experts in AI technologies who offered their advice for effective rollouts.

Best Practices

• Identifying use cases - By identifying use-cases and successes, you can help categorize vendors who have a proven track record of success while reducing the financial risk your healthcare organization takes on by purchasing an AI tool.
• The expected value - When it comes to implementing AI, there is no substitute for sound business principles.  CIOs should apply the same rigor in the adoption of AI that they apply in the adoption of any other new technology.  As CIOs pursue a portfolio of initiatives, it’s critical to work with partners who can introduce solutions to a variety of areas in the hospital or network.
• The operational state - A key must-have when implementing an AI system is a clear vision of an organization's operational state and business goals.
• Focus on outcomes - Set goals and make sure you have ways to benchmark the success of the AI solution – know how long it will take to see an outcome.

The full Healthcare IT News article can be viewed at this link.