NUR 555 5-1 QUIZ QUESTIONS AND
CORRECT ANSWERS NEW UPDATE
2026-2027 SNHU
109 QUESTIONS
TABLE OF CONTENTS
# TOPIC
1 Synthesize informatics frameworks (e
2 Apply quality improvement methodologies (PDSA, Six Sigma, Lean) to analyze patient safety events and
propose evidence-based interventions
3 Critique health policy, regulatory standards (HIPAA, HITECH, MACRA), and accreditation requirements
for their impact on nursing practice and population health outcomes
4 NUR 555 5
5 1 Quiz Questions and Correct Answers New Update 2026
6 2027 SNHU
7 Foundations of Advanced Nursing Informatics & Healthcare Quality (NUR 555)
8 Applied Advanced Nursing Informatics & Healthcare Quality (NUR 555)
9 Advanced Advanced Nursing Informatics & Healthcare Quality (NUR 555)
10 Advanced Nursing Informatics & Healthcare Quality (NUR 555) Review
ABSTRACT
This study document brings together 109 carefully worded exam questions drawn from NUR 555
5-1 Quiz Questions and Correct Answers New Update 2026-2027 SNHU, with the strongest
emphasis placed on Synthesize informatics frameworks (e, Apply quality improvement
methodologies (PDSA, Six Sigma, Lean) to analyze patient safety events and propose
evidence-based interventions, Critique health policy, regulatory standards (HIPAA, HITECH,
MACRA) and and accreditation requirements for their impact on nursing practice and population
health outcomes. Every item follows the wording style and level of reasoning you meet in the real
paper, and each one is paired with a clear rationale so the correct choice is never a guess. Work
through the set at your own pace, mark the questions that slow you down, then come back to them
until the reasoning feels automatic. Learners who revise this way walk into the exam room
recognising the pattern behind the questions instead of meeting them for the first time. Keep going
- steady, honest practice is what turns a difficult paper into a comfortable pass.
Page 1
,Q1 SYNTHESIZE INFORMATICS FRAMEWORKS (E
A hospital's sepsis alert system triggers on a modified SIRS threshold, generating
a positive predictive value of 0.18. Which informatics intervention MOST directly
addresses this alert fatigue while preserving sensitivity for true sepsis?
A. Increasing the alert threshold to require two additional SIRS criteria before firing
B. Implementing a machine-learning risk score integrated into the EHR that reweights variables
by local prevalence CORRECT
C. Disabling the alert during night shift to reduce nurse override rates
D. Adding a hard-stop order set that requires provider acknowledgment before any antibiotic is
ordered
RATIONALE: A low PPV indicates excessive false positives; a locally calibrated ML risk score
reweights variables to improve discrimination without simply raising thresholds (which reduces
sensitivity). Raising thresholds (A) or disabling alerts (C) sacrifices sensitivity, while hard-stop
order sets (D) address downstream ordering, not alert specificity.
Q2 SYNTHESIZE INFORMATICS FRAMEWORKS (E
In the DIKW framework, a nurse manager aggregates unit-level falls data, identifies
a 22% increase over two quarters, and infers that night-shift staffing ratios
correlate with fall incidence. This inference represents which level?
A. Data
B. Information
C. Knowledge CORRECT
D. Wisdom
RATIONALE: Knowledge involves interpreting information by recognizing patterns and
relationships (e.g., correlating staffing with falls). Data are raw facts, information is structured
data, and wisdom involves applying knowledge with judgment to make decisions. The manager
has not yet enacted a decision, so wisdom is premature.
Page 2
,Q3 SYNTHESIZE INFORMATICS FRAMEWORKS (E
Which set of criteria BEST distinguishes a Stage 2 meaningful use objective under
the HITECH Act from a Stage 3 objective in current CMS Promoting Interoperability
requirements?
A. Stage 2 requires e-prescribing; Stage 3 requires computerized provider order entry (CPOE)
B. Stage 2 requires patient electronic access to health information; Stage 3 requires use of
certified EHR technology to submit syndromic surveillance data CORRECT
C. Stage 2 requires clinical decision support; Stage 3 requires drug-drug interaction checks
D. Stage 2 requires electronic lab results; Stage 3 requires electronic medication administration
records
RATIONALE: Stage 2 expanded patient engagement through view/download/transmit (VDT) and
secure messaging, while Stage 3 advanced population health through public health reporting
such as syndromic surveillance. Options A, C, and D describe objectives from earlier stages or
core measures not unique to Stage 3.
Q4 SYNTHESIZE INFORMATICS FRAMEWORKS (E
A quality improvement team applies the Model for Improvement to reduce central
line-associated bloodstream infections (CLABSI). After three PDSA cycles, the rate
decreased from 2.1 to 0.9 per 1,000 line days. Which statistical process control
(SPC) rule BEST confirms special-cause variation?
A. One point beyond three sigma from the centerline CORRECT
B. Seven consecutive points trending upward
C. Two of three consecutive points beyond two sigma on the same side of the centerline
D. Eight consecutive points within one sigma of the centerline
RATIONALE: The Western Electric rules define special cause as any single point beyond three
sigma, or specific patterns such as two of three beyond two sigma. Option B describes a trend
but not necessarily special cause unless it meets the seven-point rule in the correct direction; the
question asks for the BEST single rule, which is the three-sigma outlier.
Page 3
, Q5 SYNTHESIZE INFORMATICS FRAMEWORKS (E
Which interoperability standard would a nurse informaticist select to exchange
discrete, semantically interoperable laboratory result values between a hospital
EHR and a public health registry, ensuring LOINC-coded observations?
A. HL7 v2.x pipe-and-hat messaging
B. HL7 FHIR with LOINC and UCUM value sets CORRECT
C. DICOM for structured reporting
D. X12 837 for claims submission
RATIONALE: FHIR with LOINC (observation codes) and UCUM (units) provides semantic
interoperability for discrete lab data. HL7 v2.x is widely used but less semantically precise;
DICOM is imaging; X12 837 is billing. The question emphasizes LOINC-coded observations,
aligning with FHIR resources.
Q6 SYNTHESIZE INFORMATICS FRAMEWORKS (E
A nurse leader is evaluating a new clinical decision support (CDS) tool for
medication dosing in renal impairment. Which metric BEST reflects the tool's
ability to correctly identify patients who should receive a dose adjustment?
A. Sensitivity CORRECT
B. Specificity
C. Positive predictive value
D. Negative predictive value
RATIONALE: Sensitivity measures the proportion of true cases (patients needing dose
adjustment) correctly identified by the tool. Specificity measures true negatives, PPV measures
the probability that a positive alert is correct, and NPV measures the probability that a negative
alert is correct. The question asks about correctly identifying those who should receive
adjustment-true positives-so sensitivity is best.
Page 4
CORRECT ANSWERS NEW UPDATE
2026-2027 SNHU
109 QUESTIONS
TABLE OF CONTENTS
# TOPIC
1 Synthesize informatics frameworks (e
2 Apply quality improvement methodologies (PDSA, Six Sigma, Lean) to analyze patient safety events and
propose evidence-based interventions
3 Critique health policy, regulatory standards (HIPAA, HITECH, MACRA), and accreditation requirements
for their impact on nursing practice and population health outcomes
4 NUR 555 5
5 1 Quiz Questions and Correct Answers New Update 2026
6 2027 SNHU
7 Foundations of Advanced Nursing Informatics & Healthcare Quality (NUR 555)
8 Applied Advanced Nursing Informatics & Healthcare Quality (NUR 555)
9 Advanced Advanced Nursing Informatics & Healthcare Quality (NUR 555)
10 Advanced Nursing Informatics & Healthcare Quality (NUR 555) Review
ABSTRACT
This study document brings together 109 carefully worded exam questions drawn from NUR 555
5-1 Quiz Questions and Correct Answers New Update 2026-2027 SNHU, with the strongest
emphasis placed on Synthesize informatics frameworks (e, Apply quality improvement
methodologies (PDSA, Six Sigma, Lean) to analyze patient safety events and propose
evidence-based interventions, Critique health policy, regulatory standards (HIPAA, HITECH,
MACRA) and and accreditation requirements for their impact on nursing practice and population
health outcomes. Every item follows the wording style and level of reasoning you meet in the real
paper, and each one is paired with a clear rationale so the correct choice is never a guess. Work
through the set at your own pace, mark the questions that slow you down, then come back to them
until the reasoning feels automatic. Learners who revise this way walk into the exam room
recognising the pattern behind the questions instead of meeting them for the first time. Keep going
- steady, honest practice is what turns a difficult paper into a comfortable pass.
Page 1
,Q1 SYNTHESIZE INFORMATICS FRAMEWORKS (E
A hospital's sepsis alert system triggers on a modified SIRS threshold, generating
a positive predictive value of 0.18. Which informatics intervention MOST directly
addresses this alert fatigue while preserving sensitivity for true sepsis?
A. Increasing the alert threshold to require two additional SIRS criteria before firing
B. Implementing a machine-learning risk score integrated into the EHR that reweights variables
by local prevalence CORRECT
C. Disabling the alert during night shift to reduce nurse override rates
D. Adding a hard-stop order set that requires provider acknowledgment before any antibiotic is
ordered
RATIONALE: A low PPV indicates excessive false positives; a locally calibrated ML risk score
reweights variables to improve discrimination without simply raising thresholds (which reduces
sensitivity). Raising thresholds (A) or disabling alerts (C) sacrifices sensitivity, while hard-stop
order sets (D) address downstream ordering, not alert specificity.
Q2 SYNTHESIZE INFORMATICS FRAMEWORKS (E
In the DIKW framework, a nurse manager aggregates unit-level falls data, identifies
a 22% increase over two quarters, and infers that night-shift staffing ratios
correlate with fall incidence. This inference represents which level?
A. Data
B. Information
C. Knowledge CORRECT
D. Wisdom
RATIONALE: Knowledge involves interpreting information by recognizing patterns and
relationships (e.g., correlating staffing with falls). Data are raw facts, information is structured
data, and wisdom involves applying knowledge with judgment to make decisions. The manager
has not yet enacted a decision, so wisdom is premature.
Page 2
,Q3 SYNTHESIZE INFORMATICS FRAMEWORKS (E
Which set of criteria BEST distinguishes a Stage 2 meaningful use objective under
the HITECH Act from a Stage 3 objective in current CMS Promoting Interoperability
requirements?
A. Stage 2 requires e-prescribing; Stage 3 requires computerized provider order entry (CPOE)
B. Stage 2 requires patient electronic access to health information; Stage 3 requires use of
certified EHR technology to submit syndromic surveillance data CORRECT
C. Stage 2 requires clinical decision support; Stage 3 requires drug-drug interaction checks
D. Stage 2 requires electronic lab results; Stage 3 requires electronic medication administration
records
RATIONALE: Stage 2 expanded patient engagement through view/download/transmit (VDT) and
secure messaging, while Stage 3 advanced population health through public health reporting
such as syndromic surveillance. Options A, C, and D describe objectives from earlier stages or
core measures not unique to Stage 3.
Q4 SYNTHESIZE INFORMATICS FRAMEWORKS (E
A quality improvement team applies the Model for Improvement to reduce central
line-associated bloodstream infections (CLABSI). After three PDSA cycles, the rate
decreased from 2.1 to 0.9 per 1,000 line days. Which statistical process control
(SPC) rule BEST confirms special-cause variation?
A. One point beyond three sigma from the centerline CORRECT
B. Seven consecutive points trending upward
C. Two of three consecutive points beyond two sigma on the same side of the centerline
D. Eight consecutive points within one sigma of the centerline
RATIONALE: The Western Electric rules define special cause as any single point beyond three
sigma, or specific patterns such as two of three beyond two sigma. Option B describes a trend
but not necessarily special cause unless it meets the seven-point rule in the correct direction; the
question asks for the BEST single rule, which is the three-sigma outlier.
Page 3
, Q5 SYNTHESIZE INFORMATICS FRAMEWORKS (E
Which interoperability standard would a nurse informaticist select to exchange
discrete, semantically interoperable laboratory result values between a hospital
EHR and a public health registry, ensuring LOINC-coded observations?
A. HL7 v2.x pipe-and-hat messaging
B. HL7 FHIR with LOINC and UCUM value sets CORRECT
C. DICOM for structured reporting
D. X12 837 for claims submission
RATIONALE: FHIR with LOINC (observation codes) and UCUM (units) provides semantic
interoperability for discrete lab data. HL7 v2.x is widely used but less semantically precise;
DICOM is imaging; X12 837 is billing. The question emphasizes LOINC-coded observations,
aligning with FHIR resources.
Q6 SYNTHESIZE INFORMATICS FRAMEWORKS (E
A nurse leader is evaluating a new clinical decision support (CDS) tool for
medication dosing in renal impairment. Which metric BEST reflects the tool's
ability to correctly identify patients who should receive a dose adjustment?
A. Sensitivity CORRECT
B. Specificity
C. Positive predictive value
D. Negative predictive value
RATIONALE: Sensitivity measures the proportion of true cases (patients needing dose
adjustment) correctly identified by the tool. Specificity measures true negatives, PPV measures
the probability that a positive alert is correct, and NPV measures the probability that a negative
alert is correct. The question asks about correctly identifying those who should receive
adjustment-true positives-so sensitivity is best.
Page 4
