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