WGU D514 EXAM 2025 QUESTIONS AND ANSWERS || WGU
D514 COURSE || TEST BANK || VERIFIED ANSWERS ||
GRADED A+ || LATEST UPDATE || HIGH-YIELD STUDY
GUIDE || COMPLETE REVIEW
(THE ANSWER APPEARS BEFORE THE QUESTION)
Forcasting
The process of predicting outcomes and needs to create systems and models
with the highest financial and operational safety and efficiency: it can be used to
determine potential use of services or patient demand, or to expand service lines
and markets.
Modeling Questions
Include "What are you predicting and why?" How accurate is your prediction
and what actions are taken based on the prediction?"
Predictive Modeling
Relies on mathematical algorithms to predict the probability of an outcome.
Predictive Analytics
When used in the healthcare environment, it provides a predictive score
(probability) for each patient or groups of patients, in order to determine,
inform, and influence organizational processes that pertain to large numbers of
individuals.
Histogram
A tool used to plot the frequency and number of cases and is useful to identify
areas of high variance.
Distribution and Deviations
Normal distribution visually reflects a well-formed bell curve. Variation may
appear to be skewed outside the normal distribution and require additional
testing for statistical significance.
Standard Error
Reflects how close a sample mean is to the true population mean. This
calculation is essential for identifying variation that is a result of chance.
Z-Score
,Measures the distance along the x-axis of a normal distribution measured in
units of standard deviation. This is a unit that can simplify the measurement of
variation.
Time-series
The quality improvement team is reviewing quarterly incident reports and
evaluating the effect of Six Sigma strategies on the quantity of medication
errors over the past two years. The team hypothesizes a continuous
reduction in medical errors for each quarter.The sample consists of patient
clinical and demographic characteristics. Unfortunately, causation cannot
be determined from the data available.Which research method should be
used to test the team's hypothesis?
Cross-sectional
A hospital researcher has access to one year of hospital emergency
department claims data. The researcher is investigating the association of
race on the timeliness of delivery of care. The sample includes information
on patient demographics, insurance information, and emergency
department factors. Due to patient confidentiality, the sample does not
include patient clinical information and outcomes.Which research method
should be used?
Time-series
A policy analyst is interested in determining if the prospective payment
system (PPS) has improved hospital efficiency over time during the past ten
years. The sample for analysis consists of ten years of data after the
introduction of the PPS and includes measures of efficiency and other
relevant control variables. The analyst hypothesizes that hospital efficiency
should have increased each year after the PPS was implemented.Which
research method should the analyst use?
Reporting the distribution of results or outcomes
Which type of data analysis could be used in quantitative research?
Introduces subjectivity to data collection
What is a characteristic of qualitative research methods?
Cross-sectional
Many physician practices now utilize an electronic health record (EHR)
system that includes a secure messaging feature. Some of these practices
, have extended their contact with patients by conducting virtual visits
between people with diabetes and nurses who are certified diabetes
educators. The remote technology includes the ability to monitor blood
glucose data to determine if these values are within goal range. After six
months, the results of the blood glucose levels for the group participating in
the virtual visits were evaluated.Which research method was used?
Meta-analysis
A researcher wants to determine whether continuity of care is improved
with the use of coordination of care documents among primary care
physicians and specialists. The researcher decides to review various
published studies to assess the clinical effectiveness of these documents on
patient outcomes.Which research method is being used?
Pre/post-study
The state public health researcher wants to begin a five-year initiative to
coordinate immunizations for children in the foster care system. The
results will be compared to previous years to measure the effectiveness of
the initiative.Which research method should be used to study this
initiative?
Regression analysis
Using publicly reported data from Centers for Medicare & Medicaid
Services, researchers want to examine the relationship between 30-day
readmissions and mortality rates for patients with heart failure at five
facilities. Before this can be done, researchers need to estimate mortality
rates and readmission rates from heart failure.Which statistical technique
should be used to calculate the estimated rates?
Regression analysis
Researchers want to determine if a particular risk factor or risk factors are
associated with the frequency for nonelective readmission within 30 days
among patients with diabetes in a metropolitan area. The variables of
interest include age, gender, race/ethnicity, and insurance status.Which
statistical technique should be used?
Research design
A hospital researcher is interested in investigating the association between
hospital ownership (i.e., government, investor, and not-for-profit) on
overall hospital quality scores.Research MethodsA cross-sectional data set
D514 COURSE || TEST BANK || VERIFIED ANSWERS ||
GRADED A+ || LATEST UPDATE || HIGH-YIELD STUDY
GUIDE || COMPLETE REVIEW
(THE ANSWER APPEARS BEFORE THE QUESTION)
Forcasting
The process of predicting outcomes and needs to create systems and models
with the highest financial and operational safety and efficiency: it can be used to
determine potential use of services or patient demand, or to expand service lines
and markets.
Modeling Questions
Include "What are you predicting and why?" How accurate is your prediction
and what actions are taken based on the prediction?"
Predictive Modeling
Relies on mathematical algorithms to predict the probability of an outcome.
Predictive Analytics
When used in the healthcare environment, it provides a predictive score
(probability) for each patient or groups of patients, in order to determine,
inform, and influence organizational processes that pertain to large numbers of
individuals.
Histogram
A tool used to plot the frequency and number of cases and is useful to identify
areas of high variance.
Distribution and Deviations
Normal distribution visually reflects a well-formed bell curve. Variation may
appear to be skewed outside the normal distribution and require additional
testing for statistical significance.
Standard Error
Reflects how close a sample mean is to the true population mean. This
calculation is essential for identifying variation that is a result of chance.
Z-Score
,Measures the distance along the x-axis of a normal distribution measured in
units of standard deviation. This is a unit that can simplify the measurement of
variation.
Time-series
The quality improvement team is reviewing quarterly incident reports and
evaluating the effect of Six Sigma strategies on the quantity of medication
errors over the past two years. The team hypothesizes a continuous
reduction in medical errors for each quarter.The sample consists of patient
clinical and demographic characteristics. Unfortunately, causation cannot
be determined from the data available.Which research method should be
used to test the team's hypothesis?
Cross-sectional
A hospital researcher has access to one year of hospital emergency
department claims data. The researcher is investigating the association of
race on the timeliness of delivery of care. The sample includes information
on patient demographics, insurance information, and emergency
department factors. Due to patient confidentiality, the sample does not
include patient clinical information and outcomes.Which research method
should be used?
Time-series
A policy analyst is interested in determining if the prospective payment
system (PPS) has improved hospital efficiency over time during the past ten
years. The sample for analysis consists of ten years of data after the
introduction of the PPS and includes measures of efficiency and other
relevant control variables. The analyst hypothesizes that hospital efficiency
should have increased each year after the PPS was implemented.Which
research method should the analyst use?
Reporting the distribution of results or outcomes
Which type of data analysis could be used in quantitative research?
Introduces subjectivity to data collection
What is a characteristic of qualitative research methods?
Cross-sectional
Many physician practices now utilize an electronic health record (EHR)
system that includes a secure messaging feature. Some of these practices
, have extended their contact with patients by conducting virtual visits
between people with diabetes and nurses who are certified diabetes
educators. The remote technology includes the ability to monitor blood
glucose data to determine if these values are within goal range. After six
months, the results of the blood glucose levels for the group participating in
the virtual visits were evaluated.Which research method was used?
Meta-analysis
A researcher wants to determine whether continuity of care is improved
with the use of coordination of care documents among primary care
physicians and specialists. The researcher decides to review various
published studies to assess the clinical effectiveness of these documents on
patient outcomes.Which research method is being used?
Pre/post-study
The state public health researcher wants to begin a five-year initiative to
coordinate immunizations for children in the foster care system. The
results will be compared to previous years to measure the effectiveness of
the initiative.Which research method should be used to study this
initiative?
Regression analysis
Using publicly reported data from Centers for Medicare & Medicaid
Services, researchers want to examine the relationship between 30-day
readmissions and mortality rates for patients with heart failure at five
facilities. Before this can be done, researchers need to estimate mortality
rates and readmission rates from heart failure.Which statistical technique
should be used to calculate the estimated rates?
Regression analysis
Researchers want to determine if a particular risk factor or risk factors are
associated with the frequency for nonelective readmission within 30 days
among patients with diabetes in a metropolitan area. The variables of
interest include age, gender, race/ethnicity, and insurance status.Which
statistical technique should be used?
Research design
A hospital researcher is interested in investigating the association between
hospital ownership (i.e., government, investor, and not-for-profit) on
overall hospital quality scores.Research MethodsA cross-sectional data set
