AI Pilot Execution and Scaled Deployment CAIPM Practice Questions (Page 7)

Questions 31–35

1. 31expert · hard

   A hospital is scaling an AI diagnostic-support system from one department to the entire hospital. The pilot succeeded, but physicians in other departments are skeptical and worry about liability. The hospital's leadership wants rapid adoption but also wants to maintain clinical safety. What is the most effective change management approach?

   • ADeploy the system only in departments where physicians are already supportive
   • BRun a structured rollout with physician champions, transparent communication about the AI's limitations, and a feedback loop for continuous improvement
   • CMandate use of the system across all departments immediately
   • DProvide only a brief training session and expect physicians to use the system
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2. 32foundation · easy

   During pilot execution, what is the primary purpose of risk management?

   • ATo assign blame if the pilot fails
   • BTo identify, assess, and mitigate potential issues that could derail the pilot
   • CTo guarantee that no problems occur during the pilot
   • DTo document all decisions made by the team
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4. 33application · medium

   A healthcare organization is planning a six-week AI pilot for patient no-show prediction. The pilot team includes data scientists, IT, and clinical staff. The pilot must not disrupt clinical workflows. What is the most important element of the pilot execution plan?

   • AA plan to deploy the model directly into the production scheduling system from day one
   • BA plan to collect all data after the pilot ends to avoid interfering with daily operations
   • CA plan to have data scientists work independently and present results only at the end
   • DA detailed timeline with milestones, clear roles, and a communication plan that includes clinical staff
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5. 34application · medium

   A multinational company is scaling an AI recruitment tool to multiple countries. The tool uses candidate data. The company must comply with GDPR and local labor laws. What is the most important governance action before full deployment?

   • AUse the same model and data handling in every country regardless of local laws
   • BOnly store candidate data in the country of origin and ignore other GDPR requirements
   • CConduct a data protection impact assessment and ensure the tool's decisions can be explained to candidates
   • DDeploy the tool in all countries first and address compliance issues as they arise
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6. 35application · medium

   A healthcare organization is scaling an AI triage assistant from a pilot in one clinic to all regional clinics. Clinicians are concerned about the AI overriding their judgment. The deployment lead must facilitate adoption. Which change management technique is most effective?

   • AProvide a one-time training session and then remove all fallback options to force adoption.
   • BMandate use of the AI assistant through a new policy and require compliance training.
   • CInvolve clinician champions in design feedback sessions and clearly communicate that the AI provides recommendations, not decisions.
   • DDeploy the AI assistant silently in the background and measure usage without telling clinicians.
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