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HIS 1 > Clinical Data Repositories > Flashcards

Clinical Data Repositories Flashcards

1
Q

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

A

True

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2
Q

Clinical Data Repositories are the primary database. T/F

A

False

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3
Q

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

A

False

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4
Q

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

A

True

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5
Q

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

A

False

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6
Q

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

A

False

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7
Q

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

A

False

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8
Q

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

A

True

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9
Q

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

A

False

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10
Q

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

A

True

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11
Q

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

A

True

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12
Q

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

A

True

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13
Q

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

A

False

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14
Q

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

A

False

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15
Q

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

A

False

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16
Q

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

A

False

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17
Q

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

A

False

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18
Q

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

A

False

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19
Q

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

A

False

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20
Q

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

A

False

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21
Q

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

A

False

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22
Q

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

A

False

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23
Q

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

A

True

24
Q

Data in Clinical Data Repositories are consistently secured.

T/F

A

False

25
Q

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

A

False

26
Q

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

A

True

27
Q

CDRs function simply as databases that hold clinical data.

T/F

A

True

28
Q

Clinical Data Repositories are NOT adequate solution for HIS

T/F

A

True

29
Q

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

A

False

30
Q

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

A

False

31
Q

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

A

True

32
Q

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

A

True

33
Q

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

A

True

34
Q

CDRs are adequate for quality and cost improvement projects.

T/F

A

False

35
Q

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

A

Information Processing

36
Q

The Implementation cycle is generally the foundation of the data.

A

Data Mart

37
Q

Warehousing system measured in weeks rather than months or year

A

Data Mart

38
Q

This is usually implemented on low cost departmental servers.

A

Data Mart

39
Q

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

A

Analytical Processing

40
Q

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

A

Virtual Warehouse

41
Q

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

A

Enterprises Warehouse

42
Q

What is the goal of a data warehouse?

A

To support decision making with data

43
Q

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

A

An aggregated of summarized collection of data

44
Q

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

A

False

45
Q

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

A

True

46
Q

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

A

True

47
Q

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

A

Biomedical Analysis
DNA Data Analysis
Image Processing
Financial Data Analysis

48
Q

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

A

Mining ; Warehouse

49
Q

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

A

False

50
Q

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

A

True

51
Q

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

A

Mining ; Warehouse

52
Q

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

A

Mining ; Warehouse

53
Q

CHARACTERIZEDS DATA WAREHOUSING

A
  • Multi-user support
  • Accessibility
  • Transparency
  • Client- server Architecture
  • Flexible Reporting
  • Generic Dimensionality
  • Multidimensional conceptual views
54
Q

FUNCTIONALITY OF DATA WAREHOUSING

A
  • Roll-up
  • Roll-down
  • Pivot
  • Slice & Dice
  • Sorting
  • Selection
  • Derived (Computed) attributes
55
Q

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

A

True

56
Q

How does Ralph Kimball define Data Warehousing?

A

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

HIS 1 (8 decks)

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