Exam 1 Part 5 Flashcards
Adding together the values of one data element over a set period of time (i.e. – monthly, quarterly, etc.)
Aggregating
To extract useful information from data and making decisions based upon the data analysis
Analyzing
A smaller subset of observations of the characteristics or parameter, making certain, however that a sufficient number of observations have been made to predict the overall configuration of the data
Sampling
Maintain or improve when external is not available
Internal benchmarking
Comparing an organizations performance with the performance of other organizations that provide the same types of services.
External benchmarking
- Also called categorical data
- I nclude values assigned to name-specific categories
- Male or female
- Usually displayed on bar graphs or pie charts
Nominal Data
- Also called ranked data
- Expresses the comparative evaluation of various characteristics or entities
- Often uses Likert scales - Best displayed on bar graphs or pie charts
Ordinal Data
- Also called count data
- Numerical values that represent whole numbers
- Number of children in a family
- Number of non-billable patient accounts - Best displayed in bar graphs
Discrete Data
- Assume an infinite number of possible values
- Weight, blood pressure, temperature, and so forth
- Best displayed in histograms or line charts
Continuous Data
A graphical display of data using bars of different heights. It is similar to a Bar Chart, but a ___________ groups numbers into ranges . The height of each bar shows how many fall into each range.
Histogram
A measure that records level of agreement or disagreement along a progression of categories
Likert Scale
The number of times that a score or value occurs in the data set
Absolute frequency
The percentage of the time that the characteristic or score appears in the data set
Relative frequency
What are the 4 Data Quality Functions?
Application
Collection
Warehousing
Analysis
The purpose of that data collection
Application
The processes by which data elements are accumulated
Collection
Process and systems used to archive data
Warehousing
The process of translating data into meaningful information
Analysis
Accessability Consistency Currency Granularity Precision Accuracy Comprehensiveness Definition Relevancy Timeliiness
Characteristics of Data Quality
The extent to which the data are free of identifiable errors
Data Accuracy
The level of ease and efficiency at which data are legally obtainable, within a well-protected and controlled environment
Data Accessability
The extent to which all required data within the entire scope are collected, documenting intended exclusions
Data Comprehensiveness
The extent to which the healthcare data are reliable, identical, and reproducible, by different users across applications
Data Consistency
The extent to which data are up-to-date; a datum value is up-to-date if it is current for a specfic point in time, and it s outdated if it was current at a preceding time but incorrect at a later time
Data Currency
