Practice Question
Which statement best describes data mining in healthcare research?
Answer Choices:
Correct Answer:
A technique to discover patterns in large datasets for improving care.
Rationale:
📊 Data mining is the process of using analytical tools to identify patterns, trends, and relationships in large datasets.
📊 In healthcare, it can reveal associations between treatments, outcomes, risk factors, and demographics, helping improve clinical protocols.
📊 These patterns may help predict patient risks, optimize resource use, and highlight areas needing quality improvement.
📊 Data mining supports evidence-based decision-making at system and population levels, not just individual cases.
📊 Overall, it is a powerful tool for turning raw data into actionable knowledge that can improve patient care and health system performance.
A process to gather patient consent for treatment
📊 Obtaining informed consent involves communication and documentation, not pattern analysis of data.
📊 This is an ethical and legal process, not a data mining function.
A qualitative research tool for narrative analysis
📊 Data mining is mainly associated with quantitative, large-scale datasets, not narrative qualitative analysis.
📊 Qualitative analysis focuses more on themes and meanings rather than computational pattern discovery.
A manual method of organizing patient records
📊 Data mining typically uses automated, computerized methods, not manual organization.
📊 Simply organizing records manually does not involve discovering complex patterns or predictive relationships.
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This question is from NR360 Quiz 5 Fall2025 which contains 9 questions.
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Question Details
- Category: RN Nursing Exam(s)
- Subcategory: Examplify Exam(s)
- Domain: RN Informatics 🌐
- Answer Choices: 4