D033 – WGU A+
Descriptive Statistics - ✔Numerical data; mean/median/mode. In healthcare looks for Trends in
the data; help leaders make good decisions, which is called descriptive analytics.
inferential statistics - ✔Generalize about a population based on a sample.
Diagnostic analytics - ✔Helps a healthcare organization determine why something happened.
Diagnostic analytics tools: dashboards, and data mining.
Predictive analytics - ✔Analyzes historical data to make predictions. Example: ___________
analytics may determine the expected readmission rate. The prediction may or may not come
true as many factors can impact future events.
Prescriptive analytics - ✔Builds upon predictive analytics by adjusting possible courses of action
the healthcare organization may take and what the implications may be for each. Example:
looking at causes of admissions and making changes and processes or other factors.
Predictive modeling - ✔Identify patterns/predicts the odds of a particular outcome based on the
observed data. ________ models use historical data in order to predict what is likely to happen
in the future.
Clinical pathways - ✔A tool designed to coordinate multidisciplinary care planning for specific
diagnosis and treatments
Health informatics - ✔A science that defines how health information is technically captured,
transmitted, and utilized. This field of study uses information systems to manipulate and use
information to improve healthcare. It is only possible because the data are stored in the
information systems.
Data analytics - ✔The science of examining raw data with the purpose of drawing conclusions
about that information. This information can then be used to make business decisions
concerning which services to provide and how to improve patient care.
Descriptive Statistics - ✔Numerical data; mean/median/mode. In healthcare looks for Trends in
the data; help leaders make good decisions, which is called descriptive analytics.
inferential statistics - ✔Generalize about a population based on a sample.
Diagnostic analytics - ✔Helps a healthcare organization determine why something happened.
Diagnostic analytics tools: dashboards, and data mining.
Predictive analytics - ✔Analyzes historical data to make predictions. Example: ___________
analytics may determine the expected readmission rate. The prediction may or may not come
true as many factors can impact future events.
Prescriptive analytics - ✔Builds upon predictive analytics by adjusting possible courses of action
the healthcare organization may take and what the implications may be for each. Example:
looking at causes of admissions and making changes and processes or other factors.
Predictive modeling - ✔Identify patterns/predicts the odds of a particular outcome based on the
observed data. ________ models use historical data in order to predict what is likely to happen
in the future.
Clinical pathways - ✔A tool designed to coordinate multidisciplinary care planning for specific
diagnosis and treatments
Health informatics - ✔A science that defines how health information is technically captured,
transmitted, and utilized. This field of study uses information systems to manipulate and use
information to improve healthcare. It is only possible because the data are stored in the
information systems.
Data analytics - ✔The science of examining raw data with the purpose of drawing conclusions
about that information. This information can then be used to make business decisions
concerning which services to provide and how to improve patient care.
