IT 322 MIDTERMMMM

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"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


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