Clinical Data Repositories

Question 1

Data Mining is an information extraction activity whose goal is to discover hidden facts contained in databases. T/F

Answer 1

True

Question 2

Clinical Data Repositories are the primary database. T/F

Answer 2

False

Question 3

Clinical Data Repositories acquire data from first hand sources. T/F

Answer 3

False

Question 4

When data is being pulled from Clinical Data Repositories and then different visualization tools are used to build those reports, each report will look and function differently.T/F

Answer 4

True

Question 5

Clinical Data Repositories are efficient means for clinicians to be able to access data to generate reports.
T/F

Answer 5

False

Question 6

The design for Clinical Data Repositories is an adequate solution for Health Systems. T/F

Answer 6

False

Question 7

Data Warehouse is an information extraction activity whose goal is to discover hidden facts contained in databases. T/F

Answer 7

False

Question 8

Built-in safeguards within Clinical Data Repositories systems are limited. T/F

Answer 8

True

Question 9

Data Warehouses are NOT considered important tools for business executives.
T/F

Answer 9

False

Question 10

When data is spread across many Clinical Data Repositories, there is no way to audit who is looking at the data. This can be deadly for maintaining a secure organization. T/F

Answer 10

True

Question 11

Data Mining offers great promises in helping organizations to uncover patterns hidden in their data. This in turn can be used to predict the behaviour of customers, products, and processes. T/F

Answer 11

True

Question 12

Data Mining replaces skilled business analysts and managers. T/F

Answer 12

True

Question 13

Data Warehouses contains integrated and processed data to perform data analysis at the time of decision making and planning.
T/F

Answer 13

False

Question 14

Clinical Data Repositories often use simple data models, thus according for their low margin of errors.
T/F

Answer 14

False

Question 15

CDRs permit patient care across the care continuum. T/F

Answer 15

False

Question 16

Clinical Data Repositories offer flexible analytics for analysts to use as they work to improve patient care. T/F

Answer 16

False

Question 17

Clinical Data Repositories do not show dates of admission into the hospital.T/F

Answer 17

False

Question 18

Clinical Data Repositories can show when the patient was discharged from the hospital. T/F

Answer 18

False

Question 19

Clinical Data Repositories DO NOT contain demographic information of patients.
T/F

Answer 19

False

Question 20

Reports generated by Clinical Data Repositories are always standardized. T/F

Answer 20

False

Question 21

CDRs generally have the ability to integrate with other non-clinical source systems
T/F

Answer 21

False

Question 22

CDRs readily show patient satisfaction scores for each visit. T/F

Answer 22

False

Question 23

Clinical Data Repositories contain medication details of patients who are admitted in the hospital.
T/F

Answer 23

True

Question 24

Data in Clinical Data Repositories are consistently secured.

T/F

Answer 24

False

Question 25

Clinical Data Repositories (CDRs) are primary sources of patient data. T/F

Answer 25

False

Question 26

Clinical Data Repositories can promote discharge summaries of patients. T/F

Answer 26

True

Question 27

CDRs function simply as databases that hold clinical data. | T/F

Answer 27

True

Question 28

Clinical Data Repositories are NOT adequate solution for HIS | T/F

Answer 28

True

Question 29

Clinical Data Repositories have low margin for costly errors. T/F

Answer 29

False

Question 30

Clinical Data Repositories contain only the laboratory results of patients admitted to the hospital. T/F

Answer 30

False

Question 31

Clinical Data Repositories CANNOT provide a true picture of the cost per case for each patient. T/F

Answer 31

True

Question 32

CDRs consolidate data from various clinical sources to provide a full picture of the care a patient has received. T/F

Answer 32

True

Question 33

Clinical Data Repositories records classification codes for inpatient diagnoses and procedures. T/F

Answer 33

True

Question 34

CDRs are adequate for quality and cost improvement projects. | T/F

Answer 34

False

Question 35

This supports querying basic statistical analysis, and reporting using crosstabs, tables, charts, or graphs.

Answer 35

Information Processing

Question 36

The Implementation cycle is generally the foundation of the data.

Answer 36

Data Mart

Question 37

Warehousing system measured in weeks rather than months or year

Answer 37

Data Mart

Question 38

This is usually implemented on low cost departmental servers.

Answer 38

Data Mart

Question 39

Helpful in multidimensional analysis of data warehouse data and support basis On-Line Analytical Processing operations.

Answer 39

Analytical Processing

Question 40

For efficient query processing, the warehouse only materializes some of the possible summary views.

Answer 40

Virtual Warehouse

Question 41

This collection all of the information about subjects concerning the entire organization.

Answer 41

Enterprises Warehouse

Question 42

What is the goal of a data warehouse?

Answer 42

To support decision making with data

Question 43

What must a Data Warehouse possess in order to help Data Mining become more efficient?

Answer 43

An aggregated of summarized collection of data

Question 44

Using Data Mining software means replacing skilled business analysts. T/F

Answer 44

False

Question 45

Data Mining can be used in conjunction with a data warehouse to help with certain types of decisions. T/F

Answer 45

True

Question 46

Data Mining offers great promises in helping organizations to uncover patterns hidden in their data that can be used to predict the behaviour of customers, products and processes. T/F

Answer 46

True

Question 47

Where can Data Mining be applied? Select all that apply.

Answer 47

Biomedical Analysis DNA Data Analysis Image Processing Financial Data Analysis

Question 48

Data ___ helps in extracting meaningful new patterns that cannot be found in the date ___

Answer 48

Mining ; Warehouse

Question 49

Data mining could not be used for determining future trends. T/F

Answer 49

False

Question 50

Data Mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. T/F

Answer 50

True

Question 51

Data ___tools should be designed to facilitate their use in conjunction with data__

Answer 51

Mining ; Warehouse

Question 52

Data ___applications should therefore be strongly considered early, during the design of data___

Answer 52

Mining ; Warehouse

Question 53

CHARACTERIZEDS DATA WAREHOUSING

Answer 53

* Multi-user support * Accessibility * Transparency * Client- server Architecture * Flexible Reporting * Generic Dimensionality * Multidimensional conceptual views

Question 54

FUNCTIONALITY OF DATA WAREHOUSING

Answer 54

* Roll-up * Roll-down * Pivot * Slice & Dice * Sorting * Selection * Derived (Computed) attributes

Question 55

Data warehouse contains integrated and processed data to perform data analysis at the time of decision making and planning.

Answer 55

True

Question 56

How does Ralph Kimball define Data Warehousing?

Answer 56

Data warehouse is the conglomerate of all data marts within the enterprises. Information is always stored in the dimensional.