IT322 Midterm

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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


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