Clinical Data Repositories Flashcards
Data Mining is an information extraction activity whose goal is to discover hidden facts contained in databases. T/F
True
Clinical Data Repositories are the primary database. T/F
False
Clinical Data Repositories acquire data from first hand sources. T/F
False
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
True
Clinical Data Repositories are efficient means for clinicians to be able to access data to generate reports.
T/F
False
The design for Clinical Data Repositories is an adequate solution for Health Systems. T/F
False
Data Warehouse is an information extraction activity whose goal is to discover hidden facts contained in databases. T/F
False
Built-in safeguards within Clinical Data Repositories systems are limited. T/F
True
Data Warehouses are NOT considered important tools for business executives.
T/F
False
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
True
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
True
Data Mining replaces skilled business analysts and managers. T/F
True
Data Warehouses contains integrated and processed data to perform data analysis at the time of decision making and planning.
T/F
False
Clinical Data Repositories often use simple data models, thus according for their low margin of errors.
T/F
False
CDRs permit patient care across the care continuum. T/F
False
Clinical Data Repositories offer flexible analytics for analysts to use as they work to improve patient care. T/F
False
Clinical Data Repositories do not show dates of admission into the hospital.T/F
False
Clinical Data Repositories can show when the patient was discharged from the hospital. T/F
False
Clinical Data Repositories DO NOT contain demographic information of patients.
T/F
False
Reports generated by Clinical Data Repositories are always standardized. T/F
False
CDRs generally have the ability to integrate with other non-clinical source systems
T/F
False
CDRs readily show patient satisfaction scores for each visit. T/F
False
Clinical Data Repositories contain medication details of patients who are admitted in the hospital.
T/F
True
Data in Clinical Data Repositories are consistently secured.
T/F
False
Clinical Data Repositories (CDRs) are primary sources of patient data.
T/F
False
Clinical Data Repositories can promote discharge summaries of patients.
T/F
True
CDRs function simply as databases that hold clinical data.
T/F
True
Clinical Data Repositories are NOT adequate solution for HIS
T/F
True
Clinical Data Repositories have low margin for costly errors. T/F
False
Clinical Data Repositories contain only the laboratory results of patients admitted to the hospital. T/F
False
Clinical Data Repositories CANNOT provide a true picture of the cost per case for each patient. T/F
True
CDRs consolidate data from various clinical sources to provide a full picture of the care a patient has received. T/F
True
Clinical Data Repositories records classification codes for inpatient diagnoses and procedures. T/F
True
CDRs are adequate for quality and cost improvement projects.
T/F
False
This supports querying basic statistical analysis, and reporting using crosstabs, tables, charts, or graphs.
Information Processing
The Implementation cycle is generally the foundation of the data.
Data Mart
Warehousing system measured in weeks rather than months or year
Data Mart
This is usually implemented on low cost departmental servers.
Data Mart
Helpful in multidimensional analysis of data warehouse data and support basis On-Line Analytical Processing operations.
Analytical Processing
For efficient query processing, the warehouse only materializes some of the possible summary views.
Virtual Warehouse
This collection all of the information about subjects concerning the entire organization.
Enterprises Warehouse
What is the goal of a data warehouse?
To support decision making with data
What must a Data Warehouse possess in order to help Data Mining become more efficient?
An aggregated of summarized collection of data
Using Data Mining software means replacing skilled business analysts. T/F
False
Data Mining can be used in conjunction with a data warehouse to help with certain types of decisions. T/F
True
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
True
Where can Data Mining be applied? Select all that apply.
Biomedical Analysis
DNA Data Analysis
Image Processing
Financial Data Analysis
Data ___ helps in extracting meaningful new patterns that cannot be found in the date ___
Mining ; Warehouse
Data mining could not be used for determining future trends. T/F
False
Data Mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. T/F
True
Data ___tools should be designed to facilitate their use in conjunction with data__
Mining ; Warehouse
Data ___applications should therefore be strongly considered early, during the design of data___
Mining ; Warehouse
CHARACTERIZEDS DATA WAREHOUSING
- Multi-user support
- Accessibility
- Transparency
- Client- server Architecture
- Flexible Reporting
- Generic Dimensionality
- Multidimensional conceptual views
FUNCTIONALITY OF DATA WAREHOUSING
- Roll-up
- Roll-down
- Pivot
- Slice & Dice
- Sorting
- Selection
- Derived (Computed) attributes
Data warehouse contains integrated and processed data to perform data analysis at the time of decision making and planning.
True
How does Ralph Kimball define Data Warehousing?
Data warehouse is the conglomerate of all data marts within the enterprises. Information is always stored in the dimensional.
