Informatics Exam 2

health literacy

The ability to obtain and understand health information for

decision-making

information literacy

The ability to recognize the need for information, how to

locate, evaluate, and effectively use it

computer literacy

The ability to successfully use computers to enter and access information, and communicate through electronic methods

Know-Do-Gap

The length of time between identifying a need for improvement and being able to make a change and implementing it

Evidence-Based Practice (EBP)

Combines research findings, clinical judgment, client

preferences for better outcomes

Best practice

a process that has been shown by research and experience

to produce optimal results

What is the first step in the Evidence-Based Practice (EBP) process?

Cultivate a spirit of inquiry

What is the second step in the Evidence-Based Practice (EBP) process?

Identify the problem/Ask the question

What is the third step in the Evidence-Based Practice (EBP) process?

Search for the best evidence

What is the fourth step in the Evidence-Based Practice (EBP) process?

Integrate the evidence with your clinical expertise and patient preferences to ensure the best clinical decision.

What is the fifth step in the Evidence-Based Practice (EBP) process?

Evaluate the outcome(s) of the practice change

What is the sixth step in the Evidence-Based Practice (EBP) process?

Disseminate the outcome(s)

AI literacy

the knowledge, skills, and understanding required to effectively engage with artificial intelligence (AI) technologies

What are the 5 data bases covered in class?

- Cochrane Database of Systematic Reviews - gold standard

- CINAHL

- PubMed

- Google Scholar

- UpToDate (Clinical Decision Support database)

PICO

When seeking knowledge, you must first question a practice or identify a problem

P: population

I: Intervention

C: comparison Group

O: outcome

Evaluating Article Information

-Examine author's credentials, education, expertise

-Review title, abstract, article body

-Look at cited supportive literature for articles

-Determine if information reflects current knowledge

website domain names

- .com-commercial user, pharm companies

- .org-non-profit

- .edu-educational

- .gov-government websites

Steps in Client Education

- Assess

- Determine needs

- Plan

- Implement

- Evaluate

clients reading level is

3rd - 5th grade reading level

websites reading level is usally

5th - 8th grade reading level

examples of applications of AI in healthcare

- clinical decision support systems (CDSS)

- Predictive Analytics (use of data to predict patient outcomes)

- Virtual health assistants

lateral violence

workplace bullying

blogs

online journals

- usually include hyperlinks

forums

online discussions with posting

- can be public or private

avatar

digital image that represents an online person

3 uses of social networks

1. Train faculty, staff, students, and clients

2. Interact with peers around the world

3. Follow ethical, legal guidelines

ethical considerations for AI use

- data privacy and security (how data is collected, stored, & used)

- bias and fairness

- accountability (who is responsible if ai makes an error)

- informed consent (must inform patients about ai use in their care)

- impact on the nursing profession (how might ai change the nursing role)

What does 'Plan' mean in the Plan-Do-Study-Act (PDSA) cycle?

Develop a detailed plan for testing a change.

What does 'Do' refer to in the Plan-Do-Study-Act (PDSA) cycle?

Implement interventions on a small scale.

What is the purpose of the 'Study' phase in the Plan-Do-Study-Act (PDSA) cycle?

Analyze data and results from the test.

What actions are taken during the 'Act' phase of the Plan-Do-Study-Act (PDSA) cycle?

Refine the plan based on findings, adopting, adapting, or abandoning the change, and planning the next cycle if needed.

quality improvement

a process to improve outcomes

Magnet Recognition Program

the highest national honor for nursing excellence, awarded by the American Nurses Credentialing Center (ANCC)

Big Data

extremely large datasets generated at high volume, velocity, variety, and veracity that require advanced analytics to extract meaningful insights

What is genomics?

The study of a person's full set of genes (DNA)

What is the largest source of big data?

Genomics

data mining

finding patterns in data

machine learning

teaching a computer to learn from data and predict

Data Mining in healthcare

the process of analyzing large amounts of patient and medical data to find patterns, trends, and useful information that can help improve patient care

Disease Surveillance Systems

tools and processes used to monitor, track, and analyze health data