Week 9 (Final starts here)

Question 1

Digital health history

Answer 1

• increased uptake in clinical technology in clinical practice
• definition and equity of health are changing
• consumers of technology

Question 2

Examples of digital health

Answer 2

• Robotics
• Electronic Health Records
• Education
• Telehealth
• eHealth

Question 3

Information versus information management

Answer 3

• promotions of practicality and increased efficiency
  in the clinical areas
• where is this information stored?
• what is the cost of this?
• what are the third-party influences?

Question 4

What is nursing informatics? (CNA)

Answer 4

“The practice and science of integrating nursing information and knowledge with technology to manage and integrate health information. The goal of nursing informatics is to improve the health of people and communities while reducing costs” (CNA, 2019, para 1)

Question 5

What is nursing informatics? (textbook)

Answer 5

“The use of information and communication technologies (ICT) and digital tools to support the planning, delivery, evaluation, and management of nursing care” (Ross-Kerr & Wood, 2020, p. 507)

Question 6

CASN entry to practice competencies (3)

Answer 6

1. Uses relevant information and knowledge to
   support the delivery of evidence-informed
   patient care.
2. Uses ICTs in accordance with professional and
   regulatory standards and workplace policies.
3. Uses ICTs in the delivery of patient and client
   care.

Question 7

What is “Big Data”?

Answer 7

Big data is used to describe massive volumes of information created by the adoption of digital technologies that collect patients’ records and help in managing hospital performance, otherwise too large and complex for traditional technologies.

Question 8

Big Data - the Five V’s: Volume

Answer 8

The scale of data generated by a variety of sources, considered by many to be the hallmark of big data.

Question 9

Big Data - the Five V’s: Velocity

Answer 9

The unparalleled speed of proliferation of data.

Question 10

Big Data - the Five V’s: Veracity

Answer 10

The degree of uncertainty of data elements and whether the data are fit for secondary analysis.

Question 11

Big Data - the Five V’s: Variety

Answer 11

Data are generated by a range of different data sources.

Question 12

Big Data - the Five V’s: Value

Answer 12

The perceived contribution that the data are able to provide to support the organizational mission and objectives.

Question 13

Big Data Additions (5)

Answer 13

Variability—inconsistencies in data or inconsistent speed of generation;

Validity—data accuracy and correctness;

Vulnerability—whether the data introduce any security issues;

Volatility—the length of time data should be kept before becoming historic or irrelevant; and

Visualization—finding a meaningful way to visually display the vast new data.

Question 14

Cultural considerations

Answer 14

• Remote communities
• Ways of Knowing
• Patient-centered health and research metrics
• Increasing access
• Decreasing medical evacuations

Question 15

Situating nurses in informatics

Answer 15

• Standardizing language and metrics
• Advocating for policy and legislation
• Practicing with competencies
• Participating and contributing to research
• Recognizing nursing ontology within technology
• Evidence-informed strategic planning