NR 360 Week 7 Edapt
Complete Quiz Review
(Questions & Solutions)
2025
1
,1. Case: An ACO uses a predictive model to flag CHF patients
at high risk for 30-day readmission. The C-statistic is 0.82.
Which interpretation is MOST accurate?
A. The model explains 82 % of readmissions
B. The model’s sensitivity is 82 %
C. The model has “excellent” discrimination between
readmitted and non-readmitted patients
D. 18 % of readmissions are due to chance
ANS C
Rationale: A C-statistic (AUC) ≥ 0.8 denotes excellent
ability to correctly rank‐order cases vs. non-cases; it is not a direct
measure of variance explained or sensitivity.
2. Case: An ED quality dashboard shows a run chart where
the last eight consecutive points fall below the median door-to-balloon
time line. According to SPC (special-cause) rules, the process is:
A. Statistically stable
B. In need of recalculation of the centerline (shift)
C. Experiencing common-cause variation only
D. In violation of the “trend” rule but not the “shift”
rule
ANS B
Rationale: ≥ 8 points on one side of the median = shift →
recalculate the centerline; this signals special-cause improvement.
3. Case: A nurse informaticist selects Hadoop for storing
real-time bedside monitor waveforms. Which feature primarily drove
that decision?
A. Strong ACID compliance
B. Schema-on-read flexibility for unstructured, high-
2
, velocity data
C. Natively embedded HL7 FHIR APIs
D. Built-in inferential statistics
ANS B
Rationale: Hadoop’s HDFS enables economical storage of
massive, messy, rapidly generated data, adding schema only when
queried (“schema-on-read”).
4. Case: During an EHR upgrade, SQL query execution time
worsens. A DBA adds a clustered index to the MedAdmin table’s
(PatientID, TimeStamp) columns. What analytic metric is expected to
improve?
A. Precision
B. Recall
C. Query latency
D. F1 score
ANS C
Rationale: The index accelerates retrieval, cutting latency;
precision/recall/F1 relate to classification, not database performance.
5. Case: A health system applies Six Sigma (DMAIC) to
reduce lab specimen mislabeling. “Analyze” phase output should mainly
include:
A. Future-state swim-lane map
B. Root-cause validation with statistical tests
C. Control charts showing sustained gains
D. Stakeholder training curriculum
ANS B
Rationale: Analyze = confirm root causes statistically (e.g.,
chi-square), preceding Improve/Control phases.
6. Case: An NLP algorithm extracts ejection fraction (EF)
3
Complete Quiz Review
(Questions & Solutions)
2025
1
,1. Case: An ACO uses a predictive model to flag CHF patients
at high risk for 30-day readmission. The C-statistic is 0.82.
Which interpretation is MOST accurate?
A. The model explains 82 % of readmissions
B. The model’s sensitivity is 82 %
C. The model has “excellent” discrimination between
readmitted and non-readmitted patients
D. 18 % of readmissions are due to chance
ANS C
Rationale: A C-statistic (AUC) ≥ 0.8 denotes excellent
ability to correctly rank‐order cases vs. non-cases; it is not a direct
measure of variance explained or sensitivity.
2. Case: An ED quality dashboard shows a run chart where
the last eight consecutive points fall below the median door-to-balloon
time line. According to SPC (special-cause) rules, the process is:
A. Statistically stable
B. In need of recalculation of the centerline (shift)
C. Experiencing common-cause variation only
D. In violation of the “trend” rule but not the “shift”
rule
ANS B
Rationale: ≥ 8 points on one side of the median = shift →
recalculate the centerline; this signals special-cause improvement.
3. Case: A nurse informaticist selects Hadoop for storing
real-time bedside monitor waveforms. Which feature primarily drove
that decision?
A. Strong ACID compliance
B. Schema-on-read flexibility for unstructured, high-
2
, velocity data
C. Natively embedded HL7 FHIR APIs
D. Built-in inferential statistics
ANS B
Rationale: Hadoop’s HDFS enables economical storage of
massive, messy, rapidly generated data, adding schema only when
queried (“schema-on-read”).
4. Case: During an EHR upgrade, SQL query execution time
worsens. A DBA adds a clustered index to the MedAdmin table’s
(PatientID, TimeStamp) columns. What analytic metric is expected to
improve?
A. Precision
B. Recall
C. Query latency
D. F1 score
ANS C
Rationale: The index accelerates retrieval, cutting latency;
precision/recall/F1 relate to classification, not database performance.
5. Case: A health system applies Six Sigma (DMAIC) to
reduce lab specimen mislabeling. “Analyze” phase output should mainly
include:
A. Future-state swim-lane map
B. Root-cause validation with statistical tests
C. Control charts showing sustained gains
D. Stakeholder training curriculum
ANS B
Rationale: Analyze = confirm root causes statistically (e.g.,
chi-square), preceding Improve/Control phases.
6. Case: An NLP algorithm extracts ejection fraction (EF)
3
