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Module 11
HSA 6197
| Question | Answer |
|---|---|
| Which of the following are among the "Five Vs" that characterize big data in healthcare? (Select all that apply) | ✅ Value ✅ Velocity ✅ Veracity ✅ Volume ✅ Variety |
| Why is prescriptive analytics considered more advanced than predictive? (Select all that apply) | ✅ It recommends specific actions ✅ It simulates scenarios to optimize decisions |
| Which of the following correctly define the data analytics types used in healthcare analytics? (Select all that apply) | ✅ Identifying causes of trends (diagnostic) ✅ Forecasting future outcomes (predictive) ✅ Offering actionable interventions (prescriptive) |
| Which data source(s) commonly contribute to healthcare big data systems? (Select all that apply) | ✅ Medical imaging ✅ Social media ✅ Genomics ✅Wearable devices |
| Which of the following is/are administrative consideration(s) when implementing predictive analytics in healthcare? (Select all that apply) | ✅ Aligning analytics initiatives with strategic goals and outcomes |
| Which of the following best describes the role of Natural Language Processing (NLP) in healthcare analytics? (Select all that apply) | ✅ A technique for converting unstructured clinical text into analyzable data |
| What metric(s) can administrators use to evaluate the impact of a predictive analytics program? (Select all that apply) | ✅ Model accuracy (e.g., AUC/ROC) ✅ Average length of stay ✅ Readmission reduction ✅ Return on investment (ROI |
| Which challenge(s) does HL7/FHIR primarily address in big data environments? (Select all that apply) | ✅ Ensuring interoperability among systems ✅ Standardizing data formats across platforms |
| What strategy or strategies should administrators use to manage ethical and legal risks in predictive analytics? (Select all that apply) | ✅ Establish oversight by ethics committees ✅ Regularly review consent and secondary use policies ✅ Use explainable AI frameworks |
| Which challenges are commonly encountered in healthcare analytics implementation? (Select all that apply) | ✅ Data fragmentation from disparate systems ✅ Insufficient scalability of infrastructure ✅ Poor data governance |