Competency 1 Ch 3 Effective and Ethical Use of Data and Info Flashcards

1
Q

discrete entities that are described objectively without interpretation

A

data

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2
Q

data that have been interpreted, organized, or structured

A

information

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3
Q

synthesized information that showed for-mally recognized relationships, synthesized information that showed for-mally recognized relationships

A

knowledge

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4
Q

the ability to appropriately use knowledge to recognize and handle complex problems.

A

wisdom

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5
Q

As patient advocate, the nurse is charged with what?

A

protecting the health, safety, and rights of the patients. This protection extends to information and the use of systems that house patient information

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6
Q

Increasingly, this is viewed as a strategic resource

A

data

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7
Q

This is a comprehensive term that encompasses the notion of wholeness when data is collected, stored, and retrieved by the user.

A

data integrity

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8
Q

What happens if data is faulty or incomplete?

A

the quality of derived information will be poor, resulting in inappropriate and possibly harmful decisions

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9
Q

This is a mechanism provided by the computer system to assist users by prompting them to complete a task, verify information, or prevent entry of inappropriate information.

A

system check

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10
Q

These 2 terms refer to removing incor-rect, incomplete, duplicate, or improperly formatted items using special software designated for this purpose.

A

data cleansing or data scrubbing

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11
Q

This is a scientific approach to the analysis of performance and ways to improve it

A

quality improvement

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12
Q

This is the process of controlling the collection, storage, retrieval, and use of data to optimize accuracy and utility while safeguarding integrity

A

data management

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13
Q

This is he file structure that supports the storage of data in an organized fashion and allows data retrieval as meaningful information.

A

databases

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14
Q

people who are responsible for overseeing all activities related to maintaining the database and optimizing its use

A

database admin

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15
Q

This is a repository for storing data from several different databases so that it can be combined and manipulated as needed and to provide answers to various queries

A

data warehouse

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16
Q

this include documents such as consults, emails, and multimedia resources.

A

unstructured data

17
Q

these are typically organized into a repository or database for effective processing.

A

structured data

18
Q

this widespread conversion of data and information to electronic format so that it can be accessed, processed, stored, or transmitted via the use of computer technol-ogy is known as

A

digitization

19
Q

this is the term used to refer to the collection of policies, standards, pro-cesses, and controls applied to an organization’s data to ensure that it is available to appro-priate persons when and where it is needed, in the format that is needed, and is otherwise properly secured

A

data governance

20
Q

This refers to very large data sets that are beyond human capability to analyze or manage without the aid of technology.

A

big data

21
Q

This is a process that uses software to uncover relationships within large data sets via the use of artificial intelligence, statistical computation, and computer technology, used in marketing and politics to determine buying and voting trends within society. It has even been used to discover financial fraud

A

data mining (sometimes referred to as analytics)

22
Q

This refers to limited data sets such as that seen with EHR information for a select patient population at a single hospital or healthcare delivery system. ideal to report benchmarks and case management purposes

A

small data

23
Q

This uses past and current data
to forecast the likelihood of an event, can use medical information derived from EHRs to evaluate health risks for patients, the likelihood that they will utilize services in the future, or predict who is at risk for complications.

A

predictive modeling, or predictive analytics

24
Q

This examines current data in real-time, is unfettered by the time lag associated with the use of historical data, which may no longer apply and can nega-tively impact decisions, comparing it against data from the EHR, registries, and other information systems and databases, to present immediate, actionable information to clinicians

A

Real-time analytics (RTA)

25
Q

This is another term used when discussions of best use of data arise, is the integration of data from different sources for the purpose of optimizing its use and understanding, refers to a strategy, processes, and a tool set

A

Business intelligence (BI)

26
Q

The knowledge gleaned from large data sets and big data is sometimes referred to as
can be defined as a process of an iterative sequence that entails the following steps: understanding the domain; understanding the data used in the domain; data preparation that handles missing values or removes redundant or irrelevant data; applying methods to extract data (namely data mining); and finally, data pre-sentation

A

knowledge discovery in databases (KDD)

27
Q

This is a process to define and analyze data requirements to support processes required within an organization, because it establishes what information must be collected and in what format.

A

data modeling

28
Q

This is defined as the data that provides information about how, when, and by whom data are collected, formatted, and stored.

A

metadata

29
Q

This refers to the process of selectively applying knowledge gained from previous experiences and decision-making to current and future situations for the express purpose of improved effectiveness

A

knowledge management

30
Q

These are sets of information systems that enable organizations to tap into the knowledge, experiences, and creativity of their staff to improve performance

A

knowledge management systems

31
Q

This is the systematic study of digital data

A

Data science

32
Q

This uses scientific models and theories to create computer-based discovery of new learning in big data, replacing human cognition with the idea that discovery and learning can be accelerated

A

discovery informatics

33
Q
A