CASE STUDY Please use the following to answer the next question: A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most likely to arise in…

CASE STUDY Please use the following to answer the next question:

A mid-size US healthcare network has decided to develop an AI solution to detect a type of cancer that is most likely to arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records to a radiologist for secondary review pursuant to agreed-upon criteria (e.g., a confidence score below a threshold). To date, the healthcare network has:

• Defined its AI ethical principles.
• Conducted discovery to identify the intended uses and success

criteria for the system.

• Established an AI risk committee.
• Assembled a cross-functional team with clear roles and

responsibilities.

• Created policies and procedures to document standards, workflows,

timelines and risk thresholds during the project. The healthcare network intends to retain a cloud provider to host the solution. It also intends to retain a large consulting firm to supplement its small data science team and help develop the algorithm using the healthcare network’s existing data and de-identified data that is licensed from a large US clinical research partner. What is the most important step for the healthcare network to take when mapping its existing data to the clinical research partner data?