Differences Between AI, Automation, and Analytics CAIPM Practice Questions (Page 4)

Questions 16–20

1. 16expert · hard

   A hospital wants to use AI to predict patient readmission risk. They have electronic health records (EHR) data, but the data is incomplete and contains biases. They also want to automate the process of flagging high-risk patients to care coordinators, and they need to ensure that the predictions are fair across different demographic groups. Which approach should they take?

   • ATrain a machine learning model on the available EHR data and automate flagging of high-risk patients.
   • BTrain a machine learning model on the available data and manually review each flagged patient to ensure fairness.
   • CUse automation to flag all patients with certain diagnoses, and analytics to monitor readmission rates.
   • DUse analytics to clean the data, train a machine learning model with fairness constraints, and automate flagging of high-risk patients.
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   Which of the following best defines analytics?

   • AThe use of technology to perform tasks without human intervention
   • BThe simulation of human intelligence in machines
   • CThe systematic computational analysis of data to uncover patterns, trends, and insights
   • DThe process of storing and managing data in a database
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4. 18foundation · easy

   What is the primary purpose of analytics?

   • ATo store and organize data for future use
   • BTo automate repetitive tasks based on predefined rules
   • CTo enable machines to learn and reason like humans
   • DTo uncover patterns, trends, and insights from data
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5. 19application · medium

   A customer service department currently uses a chatbot that follows a decision tree to answer frequently asked questions. The department wants to improve the chatbot's ability to handle complex queries that are not covered by the decision tree. Which enhancement would best achieve this?

   • AIncrease the number of human agents available to handle queries that the chatbot cannot answer.
   • BUse analytics to track which questions are most frequent and then manually update the decision tree.
   • CExpand the decision tree with more branches to cover additional common questions.
   • DAdd a natural language processing model that can understand and respond to a wider range of queries based on training data.
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6. 20foundation · easy

   What is the primary outcome of analytics compared to automation?

   • ABoth analytics and automation produce predictions
   • BBoth analytics and automation produce decisions
   • CAnalytics produces task execution, while automation produces insights
   • DAnalytics produces insights, while automation produces task execution
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