Identify Health Information Technology Data Flashcards
GRADE
Grading of Recommendations Assessment, Development, and Evaluation
How many levels of rating evidence does the Grade approach provide?
4- high, moderate, low, and very low
What are the four areas of criteria constructed for the algorithm regarding GRADE?
- number of participants
- risk of bias in trials
- heterogeneity
- methodological quality of the review
What are the four elements that the body of evidence is evaluated by?
- study quality
- diagnosis
- treatment/prevention/screening
- prognosis
What databases are specific to systematic research reviews?
- Cochrane library
- Joanna Briggs Institute EBP Database
- Database of Abstracts of Reviews of Effects (DARE)
What databases are commonly used when searching for original research articles?
- CINAHL
- MEDLINE
- Proquest Nursing and Allied Health
- PsychINFO
- PubMed
Data mining
Scientific research that involves searching and researching large networks and databases of information for collaborative purposes can be defined as escience
Informed consent
Patients expects transparency in care and treatment. This begins with conversation and education from the first point of contact and can include signing legal documents that give permission (consent) for treatment
HIPAA (Health Insurance Portability and Accountability Act)
The purpose was multi-focused but has generally become known for its effect on patient privacy and confidentiality within the EHR.
What are the eight key components in the practice of responsible data collection, management, and protections
- data ownership
- data collection
- Data storage
- Data protection
- Data retention
- Data analysis
- Data sharing
- Data reporting
What are the two main data types?
Qualitative and Quantitative
What does quantitative data focus on?
Focuses on numbers and frequencies, with the goal of describing a situation or finding correlations and specific variable contributions to an outcome
What does qualitative data focus on?
Focused on describing meaning and experiences rather than drawing statistical inferences
What are the phases of Gartner’s hype cycle for data science and machine learning?
- Innovation trigger
- Peak of inflated Expectations
- Trough of disillusionment
- Slope of Enlightenment
- Plateau of productivity
Inflated expectations phase
the expectation of a technology exceeds the practical application of that technology