Types of Data
This type of data is numeric, objective, and
answers “how many, how much, or how
often.”
Structured (quantitative) data
Massive collections of
structured/unstructured data used to reveal
relationships.
Big data
Software used for descriptive data and charts
like pie graphs.
Spreadsheet software
Act (2020) giving residents control over
personal data use.
CCPA (California Consumer Privacy Act)
Race and gender are examples of
unstructured qualitative data used only for
labeling.
Nominal data
The 'V' of big data referring to truthfulness
and reliability.
Veracity
AI that interprets text/speech for
documentation.
Natural language processing (NLP)
Regulation (2018) governing EU data
processing.
GDPR (General Data Protection Regulation)
Structured data including whole numbers that
cannot be divided into parts.
Discrete data
Integrates financial, patient, and quality data
for decision-making.
Healthcare data analytics
Tiny line graphs inside spreadsheet cells
showing trends.
Sparklines
Policies involving data collection, retention,
and use.
Information governance
Qualitative data allowing ranked order, such
as Likert scales.
Ordinal data
A barrier involving poor readiness or
acceptance by staff.
Change management/resistance
Software storing raw, unstructured data
without relational tables.
NoSQL databases
Resource providing national data on quality
measures.
AHRQ (Agency for Healthcare Research and Quality)
Describes depth of knowledge nonnumeric
and subjective.
Unstructured (qualitative) data
A visual tool delivering streamlined info for
quick decisions.
Dashboard
Application analyzing health info and giving
care recommendations.
Clinical Decision Support Systems (CDSS)
Process comparing performance to standards
for improvement.
Benchmarking