IT 322 midterm
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
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
Box-and-Whisker Plot is used to determine if there is a correlation between two variables.
false
Composition is used to study how data points are distributes through out the data set.
false
DMAIC stands for Detect-Measure-Act-Improve-Control.
false
Data Stewardship is the ultimate authority on how data is managed throughout the enterprise.
false
Data quality might not be an issue if baseline data are collected manually.
false
Dependent variable is the input to the formula in any statistical method.
false
Financial concerns are the most important reasons to undertake an improvement project.
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
Is the information value chain presented below in the correct order? Information --> Analysis--> Data --> Action --> Outcomes
false
KPI stands for Key Performance Image.
false
Key Performance Indicators (KPIs) do not need to be reported frequently.
false
Patient 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
Statistical control charts (SPC) can be used to represent the distribution of data.
false
Statistical tests do not utilize aggregated data.
false
The key elements of an HCO's data infrastructure include servers and physical storage.
false
Values which are mutually exclusive and follow a specific order are called categorical data.
false
"Identifying possible counter measures to address root causes" is one of the steps in identifying and selecting improvement opportunities.
true
An example of measures includes time.
true
An outcome is an individual, quantifiable endpoint that is focused on the patient.
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
Automation enhances the usability of analytics.
true
Baseline data are based on the indicators developed for the QI project.
true
Completeness is one of the data quality dimensions.
true
DMAIC stands for Define-Measure-Analyze-Improve-Control.
true
Data mining has a strong predictive component.
true
Data type defines what operations can be performed on data stored in a database
true
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
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
HCOs must pursue execution excellence.
true
HIT stands for Health Information Technology.
true
Healthcare QI specialists are important stakeholders in the data quality.
true
Key Performance Indicators (KPIs) focus on the aspects that are most critical for the success of the organization.
true
Most common types of analytics tools are statistical tools, visualization, and data profiling and quality.
true
Poorly designed portal is the main barrier to "self-serve".
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
Statistical control charts (SPC) can highlight the changes in the process performance.
true
Statistical process control (SPC) is used to evaluate the control charts.
true
Statistics provides methods to analyze quality and performance of data.
true
Strategic activities help building a sustainable analytics infrastructure.
true
Technical infrastructure must be robust.
true
The data and process changes may result in incorrect calculations of indicators.
true
The mode is the most commonly occurring value in a data set.
true
VSM stands for Value Stream Map.
true
Value of analytics is demonstrated by clear results.
true