IT 322 MIDTERMMMM
"Quasi" Structured data is defined as data that has no inherent structure and is usually stored as different types of files.
FALSE
80-90% of the future data growth will come from structured data types.
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
Composition is used to study how data points are distributes through out the data set.
FALSE
Data is a static asset within a healthcare organization.
FALSE
Enterprise data warehouses can house a greater variety of data than analytic sandboxes including webscale data, raw data, and unstructured data.
FALSE
Examples of "Quasi" Structured data include text documents, PDFs, images and video.
FALSE
Financial concerns are the most important reasons to undertake an improvement project
FALSE
Hypothesis testing is the use of statistics to determine the probability that a given hypothesis is false
FALSE
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
FALSE
Is the information value chain presented below in the correct order? Information --> Analysis--> Data --> Action --> Outcomes
FALSE
Key Performance Indicators (KPIs) do not need to be reported frequently.
FALSE
One-sample t-test is used to compare the performance of two groups.
FALSE
PDCA stands for Plan-Do-Check-Analyze.
FALSE
Pareto charts are useful in determining important contributing factors to quality problems
FALSE
Patient 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.
FALSE
SMART: Specific, Metric, Actionable, Relevant, Time-bound
FALSE
Statistical control charts (SPC) can be used to represent the distribution of data.
FALSE
The key elements of an HCO's data infrastructure include servers and physical storage.
FALSE
There are only two components of Healthcare Quality Measurement: Process and Outcomes.
FALSE
Values which are mutually exclusive and follow a specific order are called categorical data.
FALSE
Examples of semi-structured data include XML data files that are self describing and defined by an xml schema.
TRUE
Examples of unstructured data include text documents, PDFs, images and video.
TRUE
Finding new relations between the process and outcomes is only possible when the data is integrated across the organization.
TRUE
Key Performance Indicators (KPIs) are expressed in non-financial measures.
TRUE
Most common types of analytics tools are statistical tools, visualization, and data profiling and quality.
TRUE
PDCA stands for Plan-Do-Check-Act.
TRUE
Patient is the person whose health and healthcare experience we're trying to improve with the use of analytics.
TRUE
Poorly designed portal is the main barrier to "self-serve".
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
SMART: Specific, Measurable, Actionable, Relevant, Time-bound
TRUE
Spreadsheets and low-volume databases are examples of isolated data marts.
TRUE
Statistical methods are used to identify unusual variations in the performance.
TRUE
Statistical process control (SPC) is used to evaluate the control charts.
TRUE
The mean is the ariphmetic average of a data set.
TRUE
The mean, the median and the mode are the three most common measures of central tendency.
TRUE
Timeliness is one of the data quality dimensions.
TRUE
Unstructured data is defined as data that has no inherent structure and is usually stored as different types of files.
TRUE
n example of measures includes time.
TRUE
Accuracy is one of the data quality dimensions.
TRUE
Automation enhances the usability of analytics.
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
Big Data" is data whose scale, distribution, diversity, and/or timeliness require the use of new technical architectures and analytics to enable insights that unlock new sources of business value.
TRUE
Causes of poor chart usability include explanation, discrimination, and construction.
TRUE
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.
TRUE
DMAIC stands for Define-Measure-Analyze-Improve-Control.
TRUE
Data modeling helps to alleviate the complex data representation problem.
TRUE
Data repositories evolution: Isolated Data Marts -> Data Warehouses -> Analytic Sandbox
TRUE
Data type defines what operations can be performed on data stored in a database.
TRUE
