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Which of the following is a potential privacy risk of Electronic Health Records (EHRs) (digital patient files used in hospitals)?

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Which of the following is the biggest challenge in anonymizing health data (removing personal identifiers while keeping research useful)?

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Which anonymization method provides the strongest mathematical privacy guarantee (ensures patient data cannot be reconstructed)?

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נערך לפני חודש
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A hospital releases anonymized patient records for research. The dataset includes patients' age, city, and rare disease history. A researcher cross-references this data with publicly available voter registration records and successfully identifies a patient. Which anonymization principle was most likely not configured properly?

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If each group (age, city, disease) contains only one or very few individuals, it becomes possible to uniquely identify someone by cross-referencing with other available data. Proper K-Anonymity would require ensuring that each unique combination of quasi-identifiers (age, city) appears in at least K instances to prevent reidentification.
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A hospital releases anonymized patient records containing age, city, and a rare genetic condition. The dataset groups patients by age ranges (e.g., 30-40, 40-50), but in one city, only a single person aged 45 has the rare disease. A journalist cross-references voter registration records and easily identifies the patient. What anonymization principle was violated?

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A pharmaceutical company shares a dataset with hospitals for research. The dataset is anonymized, grouping patients by age, city, and disease. However, in one city, all patients within a specific age range (50-60) have the same disease: HIV. A health insurance company analyzing this data determines that anyone aged 50-60 from that city is likely HIV-positive. Which anonymization principle was violated?

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A government agency releases an anonymized dataset on heart disease. The dataset ensures each group contains multiple people (K-Anonymity) and different diseases (L-Diversity). However, in one small town, the percentage of patients with heart disease in the dataset is 80%, whereas in the general population, it is only 10%. A researcher analyzing the data realizes that most residents in that town likely have heart disease. What anonymization principle was violated?

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Which of the following best describes a major risk when transmitting medical data between healthcare providers?

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Which of the following best describes the ‘fee-for-service’ (FFS) model in healthcare?

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A hospital using a fee-for-service (FFS) model might have which of the following financial incentives?

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