Beneficial and Harmful Effects Practice Test
•9 QuestionsCase study: A state health system deploys AI-driven personalized medicine for diabetes care. Patients opt in to share electronic health records, continuous glucose monitor data, and lifestyle surveys. The AI model predicts which medication plan is most likely to stabilize blood sugar and sends clinicians alerts when a patient’s readings suggest elevated risk.
Benefits: The program reduces preventable hospitalizations by catching problems earlier, and it supports overworked clinics by prioritizing high-risk patients. Patients in remote areas receive more consistent follow-up through telehealth. A 2023 U.S. government advisory notes that health AI can improve efficiency when used with human oversight and clear evaluation.
Harms: Centralizing sensitive health and sensor data increases the consequences of a breach. Even de-identified datasets can sometimes be re-identified by combining them with other information. Ethical concerns also arise: if an insurer or employer gains access, predictions could be used to discriminate, so strict access controls matter. The system occasionally recommends a plan that conflicts with a clinician’s judgment because it learns patterns that do not reflect a patient’s unique context, underscoring limits of data-driven inference.
Based on the case study, which statement best summarizes the dual impact of AI-driven personalized medicine in the passage?
Case study: A state health system deploys AI-driven personalized medicine for diabetes care. Patients opt in to share electronic health records, continuous glucose monitor data, and lifestyle surveys. The AI model predicts which medication plan is most likely to stabilize blood sugar and sends clinicians alerts when a patient’s readings suggest elevated risk.
Benefits: The program reduces preventable hospitalizations by catching problems earlier, and it supports overworked clinics by prioritizing high-risk patients. Patients in remote areas receive more consistent follow-up through telehealth. A 2023 U.S. government advisory notes that health AI can improve efficiency when used with human oversight and clear evaluation.
Harms: Centralizing sensitive health and sensor data increases the consequences of a breach. Even de-identified datasets can sometimes be re-identified by combining them with other information. Ethical concerns also arise: if an insurer or employer gains access, predictions could be used to discriminate, so strict access controls matter. The system occasionally recommends a plan that conflicts with a clinician’s judgment because it learns patterns that do not reflect a patient’s unique context, underscoring limits of data-driven inference.
Based on the case study, which statement best summarizes the dual impact of AI-driven personalized medicine in the passage?