IT322 Midterm
Baseline data do not have to be based on and measured in the exact same way as the indicators developed for the QI project.
FALSE
Data Stewardship is the ultimate authority on how data is managed throughout the enterprise.
FALSE
Data is a static asset within a healthcare organization.
FALSE
Data quality might not be an issue if baseline data are collected manually.
FALSE
Inconsistency is one of the data quality dimensions.
FALSE
Is the information value chain presented below in the correct order? Information --> Analysis--> Data --> Action --> Outcomes
FALSE
KPI stands for Key Performance Image.
FALSE
One-sample t-test is used to compare the performance of two groups.
FALSE
Statistical tests do not utilize aggregated data.
FALSE
The starting point of all data visualizations is to select an appropriate visualization approach.
FALSE
Values which are mutually exclusive and follow a specific order are called categorical data.
FALSE
Volume of data does not cause data quality problems.
FALSE
A list of activities associated with maintaining a healthcare data system that supports the needs of an HCO includes data storage and data usage.
False
As a general rule of thumb, somewhat between 5 percent and 20 percent of activity in healthcare can be considered non-value-added, whereas the remainder is considered value-added
False
BI stands for Big Intelligence
False
Customer/user is a person within the HCO who accesses analytical tools, or uses the output of analytical tools, to support decision making and to drive actions
False
DMAIC stands for Detect-Measure-Act-Improve-Control
False
Dependent variable is the input to the formula in any statistical method.
False
HIT stands for Health Informatics Technology
False
Hypothesis testing is the use of statistics to determine the probability that a given hypothesis is false.
False
Impact/effort grids are used to determine the root causes of quality problems.
False
Is the following order of five QI phases correct: Define the problem => Execute improvement activities => Identify opportunities => Evaluate outcomes => Sustain changes
False
Key Performance Indicators (KPIs) do not need to be reported frequently.
False
Median is susceptible to outliers.
False
Pareto charts are useful in determining important contributing factors to quality problems.
False
Patient is the person who supports and provides financial resources for the development and implementation of the analytics infrastructure
False
Predictive analysis is comprised of a single predictive approach
False
SMART: Specific, Metric, Actionable, Relevant, Time-bound
False
Statistical control charts (SPC) can be used to represent the distribution of data
False
Technical is the most important of the three layers of excellence of an analytical HCO.
False
The mean and median can never be equal.
False
The standard deviation, the mean, and the median are the three most common measures of central tendency.
False
Descriptive statistics are used to describe the basic features of the data in a study and often include such measure as the mean, median, standard deviation, etc.
TRUE
EMR stands for Electronic Medical Records
TRUE
End users must be involved in the design of dashboards.
TRUE
HCOs require strong and effective data governance strategies and structures. As data owners, HCOs have a responsibility for: Data quality, Privacy and security, Business rules, Availability, Periodicity, and Performance.
TRUE
Hypothesis testing involves a test of statistical significance.
TRUE
Hypothesis testing is the use of statistics to determine the probability that a given hypothesis is true.
TRUE
Inferential statistics are used to draw conclusions about a population using a sample and often include such methods as hypothesis testing.
TRUE
Poorly designed portal is the main barrier to "self-serve".
TRUE
Relevant and actionable are the two most important qualities of indicators.
TRUE
Skill sets useful for Healthcare Analytics Professionals: Communications Technical Clinical Quality improvement Analytical
TRUE
Statistical control charts (SPC) can highlight the changes in the process performance.
TRUE
Statistical methods are used to identify unusual variations in the performance.
TRUE
Statistics provides methods to analyze quality and performance of data.
TRUE
The mean, the median and the mode are the three most common measures of central tendency.
TRUE
The mode is the most commonly occurring value in a data set.
TRUE
"Identifying possible counter measures to address root causes" is one of the steps in identifying and selecting improvement opportunities.
True
"Multiple data sources" is one of the major causes of data quality problems.
True
A list of activities associated with maintaining a healthcare data system that supports the needs of an HCO includes data modeling, data creating, data storage and data usage.
True
Accuracy is one of the data quality dimensions.
True
Analytics consists of the tools and techniques to explore, analyze, and extract value and insight from healthcare data
True
Analytics teams must be agile.
True
Are these steps for the Advanced Analytics Modeling and Deployment Process in the correct order? Determining predictive analytic requirements => Understanding and preparing data => Implementing an appropriate model => Evaluating performance of a model => Deploying the solution
True
As a general rule of thumb, somewhat between 5 percent and 20 percent of activity in healthcare can be considered value-added, whereas the remainder is considered non-value-added
True
Baseline data are based on the indicators developed for the QI project.
True
Baseline performance data is a quantitative description of some aspect of an organization's performance measured prior to undertaking an improvement initiative.
True
DMAIC stands for Define-Measure-Analyze-Improve-Control
True
Data mining has a strong predictive component
True
Enforcing data governance policies and procedures is the responsibility of leaders
True
Finding new relations between the process and outcomes is only possible when the data is integrated across the organization.
True
Grades (A,B,C,D,F) are the examples of Ordinal data.
True
HCOs must pursue execution excellence.
True
Healthcare QI specialists are important stakeholders in the data quality.
True
Identifying possible counter measures to address root causes" is one of the steps in identifying and selecting improvement opportunities.
True
Inferential statistics are used to describe the basic features of the data in a study and often include such measure as the mean, median, standard deviation, etc.
True
Influencer is a person who may not be directly involved in the development or use of analytics within the HCO, but who holds considerable influence (positive or negative) over the support of analytics initiatives
True
Is the following order of five QI phases correct: Define the problem => Identify opportunities => Execute improvement activities => Evaluate outcomes => Sustain changes
True
Is the following order of five QI phases correct: Define the problem => Identify opportunities => Execute improvement activities => Evaluate outcomes => Sustain changes
True
KPI stands for Key Performance Indicator.
True
Key Performance Indicators (KPIs) are expressed in non-financial measures.
True
Key Performance Indicators (KPIs) focus on the aspects that are most critical for the success of the organization.
True
Key Performance Indicators and their associated targets should be time-bound.
True
Median and percentiles are not impacted by extreme outliers in a data set.
True
Output variable is the primary factor that is evaluated for a predictive test.
True
PDSA stands for Plan-Do-Study-Act
True
Predictive analysis is developed from the fields of statistics, computer science and computer engineering.
True
Predictive analysis uses statistical approach to analyze large volumes of data.
True
Quality is the degree to which health services for individuals and populations increase the likelihood of desired health outcomes and are consistent with current professional knowledge
True
Six sigma uses ANOVA to detect the differences in the performance
True
Statistical procedures can be divided into two major categories: descriptive statistics and inferential statistics.
True
Statistical process control (SPC) is used to evaluate the control charts
True
Strategic activities help building a sustainable analytics infrastructure.
True
Technical infrastructure must be robust.
True
The mean is the ariphmetic average of a data set.
True
There are three components of Healthcare Quality Measurement: Structure, Process, and Outcomes
True
There is one QI methodology used in healthcare today - Six Sigma
True
Timeliness is one of the data quality dimensions.
True
VSM stands for Value Stream Map
True
Value of analytics is demonstrated by clear results
True
Automation enhances the usability of analytics.
TRUE
Causes of poor chart usability include explanation, discrimination, and construction.
TRUE
Comparability is one of the data quality dimensions.
TRUE
Data type defines what operations can be performed on data stored in a database.
TRUE