Lesson 8: HMIS Data Quality Flashcards
the overall utility of a datasets as a function of its ability to be processed easily and analyzed for a database, data warehouse, or data analytics system
data quality
what are the aspects of data quality?
accuracy
completeness
update status
relevance
consistency
reliability
appropriate presentation
accessibility
it can be done to raise the quality of available data
data cleansing
true or false: having the data means that the data is useful and consistent
true
a tool that allows the use of small random samples to distinguish between different groups of data elements with high and low data quality
lot quality assessment sampling (LQAS)
a simplified version of tool of the data quality which allows programs and projects to verify and assess the quality of their reported data.
routine date quality assessment (RDQA)
it aims to strengthen their data management and reporting systems.
routine data quality assessment (RDQA)
a project management tool that shows how a project will evolve at a higher level.
implementation plan
it helps ensure that a development team is working to deliver and complete tasks on time
implementation plan
what are the key components in an implementation plan?
- define goals/ objectives
- schedule milestones
- allocate resources
- designate team member responsibilities
- define metrics for success
answers the question “what do you want to accomplish?”
define goal/objectives
it outlines the high level schedule in the implementation phase.
schedules milestones
it determines whether you have a sufficient resources, and decide how you will procure what is missing
allocate resources