Data Analysis Vocabulary

Question 1

Data Application

Answer 1

Purpose for which the data are collected

Question 2

Data Collection

Answer 2

Process by which data elements are accumulated

Question 3

Data Warehousing

Answer 3

Processes and systems used to archive data and data journal

Question 4

Data Analysis

Answer 4

Process of translating data into information utilized for an application

Question 5

Data Accessibility

Answer 5

Ease with which data can be obtained

Question 6

Data Accuracy

Answer 6

Error free and correct

Question 7

Data Comprehensiveness

Answer 7

Presence of all required data elements in the patient record

Question 8

Data Consistency

Answer 8

Reliability of data regardless of the way in which data are stored, displayed, or processed

Question 9

Data Definition

Answer 9

Defined meanings and value of all elements so all present and future users understand the data

Question 10

Data Granularity

Answer 10

Definition of each attribute and value of data at the correct level of detail

Question 11

Data Precision

Answer 11

Accurate data collection by defining expected data values

Question 12

Data Relevancy

Answer 12

Compilation of data that is valuable for the performance of a process or activity

Question 13

Data Timeliness/Data Currency

Answer 13

Collection of up-to-date data and availability to the user within a reasonable amount of time

Question 14

Data Mining

Answer 14

Technique that uses software to search for patterns and trends and to produce content relationships.

Question 15

Data

Answer 15

raw facts that are not interpreted or processed such as numbers, letters, images, symbols and sounds that is organized in a hierarchy that begins with the smallest to largest (i.e Character, Field, Record & File)

Question 16

Health Data

Answer 16

are the health facts collected on the patient

i.e. blood pressure, a lab result, etc.

Question 17

Information

Answer 17

Factual data that have been collected, combined, analyzed, interpreted, and/or converted into a form that can be used for a specific purpose

Question 18

Health Information

Answer 18

Clinical diagnosis based on clinical data collected, blood pressure readings to determine hypertension, CBC results to support anemia

Question 19

Primary Data Source

Answer 19

The health record because it contains information about a patient that has been documented by the professionals who provided the services

Question 20

Secondary Data Source

Answer 20

Data taken from the primary health record and entered into registries and databases etc. Coding is another good example

Question 21

Aggregate Data

Answer 21

Data extracted from individual health records and combined to form de-identified information about groups of patients that can be compared and analyzed (i.e. LOS stats)

Question 22

Data Mapping

Answer 22

Involves “matching” between a source and a target, such as between two databases that contain the same data elements but call them by different names. This matching enables software and systems to meaningfully exchange patient information, reimbursement claims, outcomes reporting, and other data

Question 23

Discreet Data

Answer 23

data that represent separate and distinct values or observations; that is, data that contain only finite numbers and have only specified values (1, 2, 5 ) not (3.25, .076)

Question 24

OIG

Answer 24

Office of Inspector General - Issues guidelines for compliance programs

Question 25

OCR

Answer 25

Office of Civil Rights - Oversight of Privacy and security rules. Monitors and investigates reports of breaches by covered entities and business associates.

Question 26

AHRQ

Answer 26

Agency for Healthcare Research and Quality - with Fed. government that looks for efficiency and effectiveness of delivery systems, disease protocols, guidelines to improve disease outcomes.

Question 27

UR

Answer 27

Utilization Review - Process of determining whether care is necessary. Pre-admission, Continued Stay and Discharge review.

Question 28

Data Integrity

Answer 28

Accurate, complete, consistent, up-to-date, and the same no matter where the data is recorded

Question 29

Data Reliability

Answer 29

Reliable if it is consistent throughout all systems in which it is stored, processed, and/or retrieved

Question 30

Data Validity

Answer 30

Valid if it conforms to an expected range of values