AI Use in Clinical Site Selection

As AI becomes more prevalent, its potential for supporting clinical trial site selection should not be overlooked. Leveraging AI can significantly enhance the process of determining the most suitable clinical trial sites by identifying key factors and providing valuable insights. Here are some ways AI can be utilized:

• Identifying Specific Clinics or Hospitals: AI can pinpoint a clinic or hospital in a particular city or state that meets the criteria for a clinical trial.
• Locating Specific Investigators: AI can help find a specific investigator in a designated location.
• Assessing Principal Investigator Experience: AI can evaluate a Principal Investigator's experience in clinical trials and therapeutic areas.
• Highlighting Publicly Reported Issues: AI can identify publicly reported clinical trial issues or concerns associated with a clinical trial site or Principal Investigator, helping to avoid potential pitfalls.

Best Practices for Utilizing AI in Clinical Site Selection

When using AI to support clinical site selection, it is crucial to provide detailed and specific information in your queries. Here are some tips to ensure optimal results:

• Detail Your Questions: Provide enough detail in your questions to ensure that the AI platform can generate an adequate and accurate response.
• Formulate Questions in Multiple Ways: Asking the same question in a couple of different ways can help ensure you receive the best possible responses from the AI platform.

By following these best practices, you can effectively leverage AI to enhance the clinical site selection process, ensuring that your trials are conducted at the most suitable sites with the most qualified investigators.